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Bujard, Martin; Gummer, Tobias; Hank, KarstenNeyer, Franz J.; Pollak, Reinhard; Schneider, Norbert F.; Spieß, C. Katharina; Wolf, Christof
Date(s) of Data Collection: 07.04.2021 - 01.03.2023
GESIS, Cologne. ZA7777 Data file Version 4.1.0, https://doi.org/10.4232/1.14398
GESIS, Cologne. ZA7777 Data file Version 4.1.0, https://doi.org/10.4232/1.14398
Abstract: The study programme “FReDA – The German Family Demography Panel” is a cooperative project of the German Federal Institute for Population Research (BiB), GESIS – Leibniz I ... more
Abstract: The study programme “FReDA – The German Family Demography Panel” is a cooperative project of the German Federal Institute for Population Research (BiB), GESIS – Leibniz I ... more
Content: Recruitment subwave W1R:
Value orientation and attitudes: traditional marriage concept (Unmarried cohabitation is permissible, marriage for life, divorce is permissible); traditional family (women need children to be fulfilled, men need children to be fulfilled, homosexual couple rights); gender role (pre-school child suffers if mother works, working mother can establish warm and secure relationship with child, women should care for family and less for career); intergenerational care values (parents provide financial help, children should care for parents, children should provide financial help for parents); gender values (better political leaders, for whom is a university education most important, for whom is having a job more important, for whom is housework and looking after children more important, better at caring for children).
Corona: experience during the COVID-19 pandemic (personally heavily burdened, fear of falling ill, can also see the positive side, financial losses, difficulty restricting personal contact); assessment of political measures to fight the Corona virus (too much, just enough, too little).
Demography: sex; sex according to register data; age; date of birth (month, year); current marital status; respondent has a partner; respondent has a partner for at least three months, living with partner; place first met current partner; satisfaction with the current romantic relationship; no children; number of biological children with current partner and with former partner; number of adopted children and of stepchildren; household size; highest school-leaving certificate; highest vocational qualification; years of education; education (ISCED-11); current situation; satisfaction with the actual employment situation; date school-leaving certificate reached (month, year); type of academic institution; date vocational education reached (month, year); degree of urbanization; currently living in eastern Germany; place of birth (federal state); country of birth; citizenships; language spoken at home; migration background: born in Germany; German citizenship; additional citizenship; date of immigration (month, year); financial situation of household (subjective); total household net income (last month, categories); internet connection; frequency of internet use; satisfaction with life as a whole.
Additionally coded: respondent ID (anchor); subwave; sample (FReDA-GGS); interview date (day, month, year); mode; device used by respondent; total duration of web interview in seconds; contact strategy; number of mailings; interview assessment (the questionnaire was interesting, varied, important for research, long, difficult, too personal); panel consent; Flag variables: inconsistency with register data; partial interviews; unusually short interview duration; weight: design weight; design weight scaled to net sample size; start of survey field period; end of survey field period.
Paradata: respondent ID (anchor); subwave; time and date of first access to questionnaire (absolute cumulated duration); time and date of last access to questionnaire (absolute cumulated duration); viewport width first page (in pixels); viewport height first page (in pixels); viewport width last page (in pixels); viewport height last page (in pixels); last page processed in questionnaire; number of interruptions; absolute cumulated duration for pages (milliseconds); soft prompt for page consent.
Wave W1A:
Employment: employment status; paid employment in the last week, full-time/part-time employment; hours worked per week, commuting between home and work (duration in hours and minutes); perceived stress during the last three months (too tired to do housework, difficulty meeting family obligations, too tired at work, difficulty concentrating because of family obligations, private conflicts affect performance); current situation; continuing education measures in the last twelve months.
Information on children, ex-partners, and household members of the anchor in repeat loops. For respondents in paper-based mode, the number of loop variables is limited to four children, four ex-partners, and four household members. For respondents in web-based mode, the maximum number of blocks of loop variables is higher.
Partner and partnership information: partner´s education: highest general education degree, highest vocational education degree, years of education; ISCED 2011; type of college/institution; current situation; paid job in the last week; hours worked per week; health restrictions in the last six months; country of birth; citizenships; country of birth Germany; German citizenship; other citizenship; federal state at birth; moved to Germany (month and year); duration of current partnership/ marriage in months; date of beginning relationship with current partner (month, year); married to current partner; date of marriage (month, year); registered civil partnership with current partner; date of registration of civil partnership (month, year); ever married to current partner(s); date of divorce from current partner (month, year); date of moving in with current partner (month, year), choice or circumstances of living apart; reason for living apart (anchor and partner; circumstances of living apart; distance from current partner´s home (duration in hours and minutes); number of days of face-to-face meetings and contacts with current partner(s) per week, month, or year; Intention to move in together in the next three years; intention to marry; intention to move in together and marry; frequency of disagreements about housework, money, leisure activities, relationship with friends, with parents, family planning, and child rearing issues; behavior in case of serious disagreements; serious thoughts about separation or divorce.
Information on previous partnerships: Previous partnerships of at least three months duration; number of previous partnerships; number of cohabitations or marriages in previous partnerships; sex and age (date of birth month, year) of ex-partner; way of getting to know ex-partner; date of beginning of relationship (month, year); date of moving in together (month, year); married to ex-partner; date of marriage (month, year); type of end partnership (separation/death of partner); divorce from ex-partner), date of divorce (month, year); partner who filed for divorce.
Information on children: child living, status of child; other natural parent of child; sex of child; date of birth (month year); date of death (month, year); child lives in same household; place of residence of child if not in same household; number of days per week, month, or year with care of child; number of overnights of child per week in respondent´s household; current situation; health limitations; general health; child has ever lived in the same household for more than three months; number of days per week, month, or year with face-to-face meetings with child; number of days per week, month, or year with other contact with child; distance to child´s other residence (duration in hours and minutes); satisfaction with relationship with child.
Natural children with ex-partner; number of natural children with respective former partner; stepchildren with ex-partner; number of stepchildren with respective former partner; natural children of ex-partner; number of natural children with respective former partner; children with someone else; number of children with someone else.
Pregnancies and family planning: current pregnancy of respondent or partner; other woman pregnant by respondent; expected date of birth (month, year); pregnancy with youngest child was planned; timing of pregnancy earlier/later than planned or just right; previous pregnancy was planned; timing of previous pregnancy earlier/later than planned or just right; problems getting pregnant for at least twelve months; purely physically able to have a child or to to conceive (anchor and partner); unable to have a child due to sterilization or surgery; diagnosis for infertility or not seen a doctor; time of attempt to become pregnant (month and year); type of fertility treatment; type of contraceptive methods used; sexual intercourse in the last four weeks; desire to have children in the next three years; general desire to have children; intended number of children; ideal number of children for respondent and in general; desired sex of first or next child; age at first menstruation or age at voice change; age at first sexual intercourse.
Housing situation: number of rooms in the apartment or house; living space (in square meters); date of moving in (month and year); owner or tenant of the apartment or house; monthly cold rent (in euros); monthly incidental rental costs (in euros); satisfaction with the apartment or house; place of residence three years ago; reason for moving; intended move within Germany; intended move to another country.
Household composition: other household members; number of other persons in the household; for the other household members was asked: relationship to this household member; sex; date of birth (month and year); current situation; satisfaction with the relationship to this person; health restrictions of this person in the last six months.
Division of household chores between partners; satisfaction with division of chores; assessment of fairness of division of household chores; division of childcare chores; satisfaction with division of childcare chores; household decision-maker about routine household purchases, major household purchases, amount of time spent in own employment, and amount of time spent in partner´s employment; Organization of household income and expenses; length of time receiving Parental Benefit or Parental BenefitPlus for youngest child (in months, anchor, and partner); received regular child care assistance from acquaintances, friends, or relatives in the last 12 months; person providing child care assistance; number of days of child care assistance; payment of one of these persons; regular child care assistance from paid providers (e.g. B. child day care providers); type of child care services used; number of days per week, month, or year; monthly cost of child care; chore assistance from public or private providers; number of days per week, month, or year chore assistance is used; cost per week, month, or year of chore assistance; life satisfaction; self-assessment of health status; frequency of depression tendencies in the last week; net household income (in euros and categorized); assessment of the household´s financial situation; receipt of alimony in the last twelve months from a former partner; payment of alimony in the last twelve months to a former partner.
Demography: sex; sex according to registry data; age; date of birth (month, year); age according to registry data; currently residing in East Germany; degree of urbanization; current marital status; current partnership status: same-sex partnership; current partnership status: relationship present; partnership for at least three months; living with partner; how did you meet current partner; satisfaction with current relationship; age and sex of partner; date of birth (month and year) of partner; number of all children, number of biological children, adopted children, and stepchildren born before the interview; number of all children still living, number of all children in the anchor´s household; age of youngest child, number of biological children, and number of adopted children with current partner; children of current partner with someone else and number of these children.
Additionally coded were: ID anchor; wave data collection; identifier for sample membership; interview date (day, month, year); participation mode; terminal device; total duration of web interview in seconds; contact strategy; number of mailings; net equivalent income (GCEE); interview rating; consent to panel participation current partner; flag variables: Deviations from registry data, incomplete interviews, strikingly short interview duration, deviations from previous wave, missing information on children with (ex)partners, missing information on children (child loop); weighting factors; field start, field end.
Wave W1B:
Parents, origin, and childhood: birth mother still living, birth mother living in same household; birth father still living; birth father living in same household; distance to mother´s/father´s residence in hours and minutes; number of days of face-to-face meetings and contacts with mother and father per week, month, or year; satisfaction with relationship with birth mother/father; attachment to birth mother/father; asked for both parents: Age; country of birth; date of birth (month, year); date of death (month, year); country of birth Germany; federal state at birth; birth parents living in a common household; living with birth mother/father in a common household; ever lived apart from birth parents for at least 3 months; date of first separation from parents (month and year); intended change in living situation due to separation from parents in the next three years; parents were married; date of marriage (month and year); separation of parents; date of separation (month and year); siblings: Number of brothers and sisters; number of older siblings; year of birth of first child of birth mother and birth father; childhood in Germany; childhood abroad; federal state during childhood; lived with birth parents during childhood; lived with whom during childhood; quality of relationship between birth parents during childhood; ever lived abroad for more than three months during childhood; occupation (ISCO88) and occupational status of birth mother or of birth father at age 15; years of education of birth parents; highest general education degree (ISCED-11), highest vocational education degree; number of grandparents still living; number of birth children, adopted children, stepchildren, and foster children; grandchildren; number of grandchildren; date of birth of oldest grandchild (month and year).
General well-being and health status: life satisfaction; regular need for care; type of health impairments or no diagnosis of health impairments; degree of limitations in activities of daily living in the last six months; limitations since when; infection with Corona virus since the beginning of the pandemic; body weight in kilograms; height in centimeters; happiness scale; loneliness (can rely on people for help with problems, feel general emptiness, miss people around me, can rely on many people, often feel rejected, feel close to people); contacts for important personal matters.
Employment situation: current situation; satisfaction with employment status; date of beginning of current situation (month and year); paid employment in the last week; date of beginning of paid employment (month and year); employment full-time or part-time; hours worked per week; commuting between home and work (duration in hours and minutes); arrangement of work hours; flexibility in arrangement of work hours; frequency of working from home per week; frequency of working evenings or nights for at least two hours; workplace evenings or nights at home or elsewhere); frequency of working weekends; workplace weekends at home or elsewhere; probability of job loss; type of organization of current business (private or public); type of current employment contract; flexible work arrangements by employer; additional employment or business; hours worked per week for the additional employment; possible to return to work after maternity or parental leave; intention to return to work after end of maternity or parental leave; intention to take a job or start a business within the next three years; job or business immediately before current situation; previous job situation; previous job position; previous number of supervised employees; reason for leaving previous job; current or most recent occupation (ISCO-08); current or most recent occupational position.
Partnership: steady relationship; date of birth of partner; relationship existed at the time of last interview; satisfaction with partner relationship; information on partner´s current employment and daily activities: Current situation; paid job in the last week; reason for leaving previous job; current job (ISCO-88); job position; number of supervised employees; hours worked per week; work schedule arrangement; frequency of working from home per week; frequency of working in the evening or at night for at least two hours; workplace at home or elsewhere in the evening or at night); frequency of working on weekends; working weekends at home or elsewhere; likelihood of job loss; organizational form of current business (private or public); type of current employment contract; flexible work arrangements by employer; additional employment or business; hours worked per week for the additional employment.
Financial situation of the household: estimated current market value of owned real estate and land; real estate loan; outstanding amount for this loan; amount of the household´s monthly payments for real estate loans; subjective assessment of the household´s financial situation; ever received money, valuables or possessions worth more than 5. 000 euros; received these financial transfers from whom; year of last gift or inheritance; household financially in arrears in the last twelve months; types of household income in the last month; household net income (in euros and categories); expected development of financial situation in the next three years.
Attitudes and values: general trust in people; planning for the future; value orientation and attitudes: Traditional concept of marriage (unmarried cohabitation is okay, marriage is lifelong union, divorce is okay); traditional family (women need children for fulfilling life, men need children for fulfilling life, equal rights for homosexual couples); gender role (preschool child suffers when mother works, loving and stable mother-child relationship when mother works, women should care about family and less about career); intergenerational values (parents should financially support adult children, children should take responsibility for their parents´ care, children should financially support their parents), gender roles (better political leadership, for whom is university education more important, for whom is a job more important, for whom is household and child care more important, better care for young children); experiment on ideal employment status and ideal weekly work hours of mother and father by age of child; religious community; frequency of participation in religious events per week, month, or year; religiosity; experience of Corona pandemic (personally heavily burdened, fear of contracting COVID-19, time also had good sides, financial losses, difficulty limiting personal contacts).
Demography: sex; sex according to registry data; age; date of birth (month, year); age according to registry data; migration background; currently residing in eastern Germany; degree of urbanization; current partnership status: relationship present; satisfaction with current relationship; age of partner; number of all children, number of biological children, number of adopted children, and stepchildren born before interview.
Additionally coded: ID anchor; wave data collection; identifier for sample membership; interview date (day, month, year); mode of participation; terminal device; total duration of Web interview in seconds; contact strategy; incentive experiment; experimental groups work by age of child; number of mailings; net equivalent income (GCEE); interview rating; flag variables: Deviations from registry data, incomplete interviews, strikingly short interview duration, deviations from pre-wave, weighting factors; field start, field end.
Wave W2A:
Employment: employment status; current situation; full-time/part-time employment; paid employment in the last week, update of paid employment; hours worked per week.
Information on the partner and the partnership: Partner´s education (ISCED 2011): Highest general school qualification, highest vocational training qualification, years of education; type of school qualification obtained since last interview or no school qualification obtained since then; type of vocational qualification obtained since last interview or no vocational qualification obtained since then; type of higher education institution; employment status; current situation; paid employment in the last week; update of paid employment; hours worked per week; who earns more in the partnership (in an average month); country of birth; Citizenships; country of birth Germany; German citizenship; other citizenships; federal state at birth; move to Germany (month and year); duration of current partnership/marriage in months; update of partnership from last interview; update of date of separation from partner from last interview (month, year); update of type of relationship end from last interview (separation, death); initiative for separation from anchor or partner; situation in the last year until separation: Alcohol, tablet or other drug problems; self or ex-partner has cheated; violent arguments; jealousy or mistrust; feeling restricted; feelings today with the separation; update: Living together with current partner already at the time of the last interview; living together with separated partner from last interview, date of end of partnership with separated partner (month, year); date of moving in with current partner (month, year); married to current partner; Married to separated partner from last survey; date of divorce from current partner (month, year); date of marriage to current partner (month, year); marriage to ex-partner; type of end of marriage (divorce, separation); date of divorce from partner from last survey (month, year), current partnership status: Relationship present; satisfaction with situation as a single person; agreement with statements about single life: many things easier as a single person because you don´t have to be constantly considerate and adapt to the other person, would like to have a partner; actively looking for a partner; person is interested in anchor or anchor is interested in a person; partner search via the Internet; options used on the Internet for partner search (chat forums, social networks, online dating sites, mobile dating apps, other); sex of partner; date of birth (month, year) of partner; date of start of relationship with current partner (month, year); previous partnership with current partner; living together with current partner; date of moving in with current partner (month, year); married to current partner; date of marriage to current partner (month/year); way of getting to know current partner; distance to current partner´s place of residence (duration in hours and minutes); number of days of personal meetings with current partner per month; personal meetings less than once a month or never.
Details of children: Update Children: none; age of child; sex of child; date of birth (month year); status of child; other biological parent of child; child lives in same household; place of residence of child if not in same household; number of days per month caring for child; caring for child less than once a month or never; number of days per month contact with child; contact with child less than once a month or never.
Quality of the partnership: division of labor: Division of household chores between partners; assessment of fairness of division of household chores; satisfaction with division of childcare tasks; frequency of the following in the partnership (telling partner what is bothering you, appreciation from partner, angry or annoyed with each other, partner showing appreciation, differing opinions and arguing, sharing secrets and innermost feelings); Satisfaction with relationship with partner; settling disagreements (giving in, talking calmly, making concerns understood, arguing or getting loud, insulting or abusing partner, refusing to talk about it); serious thoughts about separation or divorce.
Pregnancies and family planning: current pregnancy of respondent or partner; pregnancy was planned; physically able to have a child (anchor and partner); trying to get pregnant or conceive a child; time of trying to get pregnant (month and year); type of fertility treatment; type of contraceptive methods used; sexual intercourse in the last four weeks; desire to have children in the next three years; intended number of children; ideal number of children.
Parental role: Feelings in the parental role (raising children determines life, caught up in parental duties, meeting children´s needs very well, implementing resolutions in child-raising); frequency of problems in child-raising with the partner (disagreements, discussions end in arguments, one stabs the other in the back); Child has another biological parent with whom there is no longer a partnership and contact with the other biological parent; disagreements Discussions end in arguments, one backs the other); cooperation with the other biological parent (good team, we make important parenting decisions together).
Household and housing situation: Household composition: other household members; number of other people in the household; for the other household members, the following was asked: relationship to this household member; sex; date of birth (month and year); housing situation: updating of apartment/house or municipality; number of rooms in the apartment or house; home ownership/rent; reason for moving; household size; number of people in the household under 14 years of age; receipt of parental allowance or parental allowance plus for the youngest child (in months, anchor and partner); childcare: received regular childcare support from acquaintances, friends or relatives in the last twelve months; person providing childcare support; number of days for childcare support; payment of one of these persons; childcare support from paid providers (e.g. day care centers); type of childcare used, number of days per month with childcare support from paid providers; childcare from paid providers less than once a month; monthly cost of childcare.
Corona: Infection with the COVID-19 virus since the beginning of the corona pandemic; severity of symptoms of COVID-19 disease; health impairments due to COVID-19 disease; attitude towards COVID-19 vaccination (safe, unnecessary, thoroughly tested, severe side effects, not necessary, helps to contain the pandemic, vaccines are also safe for children); vaccination status: Vaccinated at least once against COVID-19; date of first COVID-19 vaccination (month, year); type of most recent COVID-19 vaccination received; date of last COVID-19 vaccination (month, year); all children aged 12 to 17 years or from 5 to 11 years of age have been vaccinated against COVID-19 at least once; planned vaccination of unvaccinated children from 12 to 17 years of age or from 5 to 11 years of age.
Demography: sex; sex according to register data; age; age according to register data; date of birth (month, year); birth cohort; currently living in eastern Germany; degree of urbanization; current marital status; current relationship status: Same-sex partnership; indicator current relationship; separation from partner since last participation; age and sex of partner; number of all children born before the interview; number of biological children, adopted children, stepchildren and foster children born before the interview; Number of all living children, number of all children in the anchor´s household; childless; age of youngest child, number of biological children, adopted children, stepchildren and foster children with the current partner; education (ISCED 2011): highest school-leaving qualification; years of education; highest vocational qualification; type of school-leaving qualification obtained since last interview or no school-leaving qualification obtained since then; type of vocational qualification obtained since last interview or no vocational qualification obtained since then; type of university; migration background: mother´s country of birth, father´s country of birth; general life satisfaction; household financial situation; types of household income in the last month; net household income (in euros and categories).
Additionally coded were: ID anchor; wave of data collection; identifier for sample affiliation; interview date (day, month, year); participation mode; end device; total duration of the web interview in seconds; contact strategy; number of postal mailings; type of access to the survey; provision of e-mail address; incentivization experiment; net equivalent income (GCEE, OECD); questionnaire evaluation (interesting, varied, important for science, long, difficult, too personal); probability of participation in future surveys via an online questionnaire or a written questionnaire by post; consent to panel participation of current partner; consent to panel participation of ex-partner; flag variables: consent to panel participation of current partner; consent to panel participation of ex-partner. via a written questionnaire by post; consent to panel participation of current partner; consent to panel participation of ex-partner; flag variables: Deviations from register data, incomplete interviews, conspicuously short interview duration, deviations from previous wave, missing information on children (child loop); weighting factors; field start, field end.
Wave W2B:
Employment: Employment status; current situation; paid job in the last week, paid job update; job position; number of supervised employees; number of employees; organizational form of company of current job; type of employment contract; flexible working arrangements; employment full-time/part-time; hours worked per week; length of commute between home and work (in hours and minutes); flexibility of working hours; frequency of working from home per week; frequency of workload (too tired for housework, difficult to fulfill family obligations, too tired at work due to housework, difficulty concentrating due to family obligations, private conflicts affect performance).
Information on the partner and the partnership: Education: Highest general school leaving certificate, highest vocational training qualification, years of education; ISCED 2011; update of school leaving certificate; type of university/institution; ISCO-08; employment status; current situation; paid employment in the last week; update of paid employment; professional position; number of supervised employees; number of employees; organizational form of the company of current work; type of employment contract; working hours per week; who earns more in the partnership (in an average month); country of birth; citizenships; Country of birth Germany; German citizenship; other citizenship; federal state at birth; move to Germany (month and year); duration of current partnership in months; duration of current marriage in months; update of partnership from last interview; update of date of separation from partner from last interview (month, year; update of type of end of partnership from last interview (separation, death); initiative for separation coming from anchor or partner; situation in the last year until separation: Alcohol, tablet or other drug problems; cheated on yourself or your ex-partner cheated; violent fights; jealousy or mistrust; felt restricted; feelings about separation today; update on living with current partner; country of residence of partner; update on living with separated partner from last interview; update on date of end of living with separated partner (month, year); update on date of moving in with current partner (month, year); Update married to current partner; update married to separated partner from last interview; update date of divorce from current partner (month, year); update date of marriage of current partner (month, year); update marriage with ex-partner; update type of end of marriage (divorce/separation, death); update date of divorce from partner from last interview (month, year); current partnership status: Relationship present; satisfaction with the situation as a single person; agreement with statements about single life: many things are easier as a single person because you don´t have to be constantly considerate and adapt to others, would like to have a partner; active partner search; person is interested in anchor or anchor is interested in a person; partner search via the Internet; options used on the Internet for partner search (chat forums, social networks, online dating sites, mobile dating apps, other); sex of the partner; date of birth (month, year) of the partner; date of the start of the relationship with the current partner (month, year); previous relationship with current partner; how they met their current partner; distance from current partner´s home (in hours and minutes); number of days of face-to-face meetings with current partner per month; Face-to-face meetings less than once a month or never; satisfaction with relationship with partner.
Details of children: Update children: none; age of child; sex of child; date of birth (month year); status of child; other natural parent of child; child lives in same household; country of residence; place of residence of child if not in same household; number of days per month caring for child; caring for child less than once a month or never; number of days per month contact with child; contact with child less than once a month or never.
Update apartment or house; update of city or municipality; number of rooms in the apartment or house; ownership of apartment or house; reason for moving to the current address; number of persons in the household; number of persons under 14 in the household; biological mother still lives; biological father still lives; biological father still lives House; reason for moving to current address; number of persons in household; number of persons under 14 in household; biological mother still living; biological mother living in household; biological father still living; biological father living in household; biological parents living together in a joint household; distance to biological parents´ place of residence (duration in hours and minutes); country of residence of biological mother; number of days per month with personal meetings with biological mother; meeting the biological mother in person less than once a month or never; number of days per month with contact with the biological mother by phone, mail, e-mail or other electronic means; contact with the biological mother by phone, mail, e-mail or other electronic means less than once a month or never; emotional attachment to the biological mother; distance to the biological mother´s place of residence (duration in hours and minutes); country of residence of the biological father; number of days per month with face-to-face meetings with the biological father; face-to-face meetings with the biological father less than once a month or never; number of days per month with contact with the biological father by telephone, mail, e-mail or other electronic means; contact with the biological father by telephone, mail, e-mail or other electronic means less than once a month or never; emotional attachment to the biological father; distance to the biological father´s place of residence (duration in hours and minutes).
Infection with the COVID-19 virus since the beginning of the corona pandemic; frequency of touching the partner in the last week (kissing, putting arm around shoulder, intimate hug); desire for touching the partner in the last week (kissing, putting arm around shoulder, intimate hug); sexual orientation; estimated probability of pregnancy in women aged 30 to 35 years, 40 to 45 years and 40 to 45 years after up to three in vitro fertilization cycles.
Other family members abroad; close relationship with one or more family members abroad; no support from family members abroad in the last 12 months; type of support from family members abroad (financial, material, organizational, emotional, other types of support); which family members abroad were supported financially, materially, emotionally or in other ways; anchor has not been supported by family members abroad in the last 12 months; type of support experienced by family members abroad (financial, material, organizational, emotional, other types of support); which family members abroad have provided financial, material, emotional or other types of support.
Personality and values: Personal perception (worthless, likes me, content, alone); personal characteristics (quiet, empathetic, warm, messy, often worry, enthusiastic about art, music, literature, tends to take the lead, rude, brusque, put off tasks, depressed, depressed, not interested in abstract thinking, full of energy and drive, trust others easily, reliable, balanced, original, develop new ideas); general life satisfaction; self-assessment of general health; weight in kilograms; depression tendencies during the last week (thought my life had failed, was depressed, was sad); values: Views on family and family life (child under 6 suffers if his mother works, his father works resp. both parents work, warm and secure mother-child relationship if mother works; warm and secure father-child relationship if father works); intergenerational values (children should organize their working life in such a way that they can take care of their sick parents, grandparents should contribute to the economic security of their grandchildren and their parents); ideal employment status of the mother in a family with a 2-year-old child; ideal working hours of this mother (hours per week); ideal employment status of the father in this family; ideal working hours of this father (hours per week); importance of God in one´s own life.
Demography: Sex; gender according to register data; age; age according to register data; date of birth (month, year); birth cohort; currently residing in eastern Germany; degree of urbanization; current marital status; current relationship status; same-sex partnership; indicator current relationship; separation from partner since last participation; age and sex of partner; Number of all children born before the interview; number of biological children, adopted children, stepchildren and foster children born before the interview; number of all living children, number of all children in the anchor´s household; childless; age of youngest child, number of biological children, adopted children, stepchildren and foster children with the current partner; education (ISCED 2011): highest school-leaving qualification; years of education; highest vocational qualification; type of school-leaving qualification obtained since last interview or no school-leaving qualification obtained since then; type of vocational qualification obtained since last interview or no vocational qualification obtained since then; type of university; ISCO-08; country of birth; household financial situation; net household income (in euros and categories).
Additionally coded were: ID anchor; wave of data collection; identifier for sample affiliation; interview date (day, month, year); participation mode; end device; total duration of the web interview in seconds; contact strategy; number of postal mailings; survey access type; provision of e-mail address; Incentivization experiment; net equivalent income (GCEE, OECD); questionnaire evaluation (interesting, varied, important for science, long, difficult, too personal); consent to panel participation of current partner; consent to panel participation of ex-partner; flag variables: Deviations from register data, incomplete interviews, remarkably short interview duration, deviations from previous wave, missing information on children (child loop); weighting factors; field start, field end.
Topics: LABOUR AND EMPLOYMENT, DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), SOCIAL STRATIFICATION AND GROUPINGS, Family life and marriage, Children, Gender and gender roles, General health and well-being, Elites and leadership, Social behaviour and attitudes, EDUCATION, Public health, Reproductive health
Date(s) of Data Collection: 07.04.2021 - 01.03.2023
Date(s) of Data Collection: 07.04.2021 - 29.06.2021, wave W1R, 07.07.2021 - 22.09.2021, wave W1A, 11.08.2021 - 17.11.2021, wave W1Apartner, 04.11.2021 - 31.01.2022, wave W1B, 04.05.2022 - 07.07.2022, wave W2A, 25.05.2022 - 07.09.2022, wave W2Apartner, 12.10.2022 - 31.01.2023, wave W2B, 02.11.2022 - 01.03.2023, wave W2Bpartner
Geographic coverage: Germany (DE)
Universe: FReDA-GGS: All persons registered in Germany aged 18-49
FReDA-pairfam: Nationwide randomly selected individuals from birth cohorts 1971-73, 1981-83, 1991-93 and 2001-03
Number of Units:
Welle W1R: 37769
Welle W1A: 20026
Welle W1APartner: 7210
Welle W1B: 20224
Welle W2A: 23706
Welle W2APartner: 8018
Welle W2B: 22494
Welle W2BPartner: 7302
Sampling Procedure: • Probability: Multistage;
FReDA-GGS: Random sampling of register data of the German municipalities’ population registers.
FReDA-pairfam: Random sampling of register data of the German municipalities’ population registers.
Temporal Research Design: Longitudinal: Panel
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI)
• Self-administered questionnaire: Paper;
Mixed-mode design:
Self-administered questionnaire: Web-based (CAWI) and Self-administered questionnaire: Paper
Data Collector: GESIS – Leibniz Institute for the Social Sciences
infas Institute für Applied Social Science, Bonn
Analysis System(s): Stata, SPSS
Kind of Data: Numeric
Number of Variables:
Welle W1R: 105
Welle W1A: 966
Welle W1APartner: 186
Welle W1B: 394
Welle W2A: 563
Welle W2APartner: 248
Welle W2B: 541
Welle W2BPartner: 238
Principal Investigator/ Authoring Entity, Institution: Bujard, Martin - German Federal Institute for Population Research, Gummer, Tobias - GESIS - Leibniz Institute for the Social Sciences, Hank, Karsten - University of Cologne, Neyer, Franz J. - Friedrich Schiller University Jena, Pollak, Reinhard - GESIS - Leibniz Institute for the Social Sciences, Schneider, Norbert F. - German Federal Institute for Population Research, Spieß, C. Katharina - German Federal Institute for Population Research, Wolf, Christof - GESIS - Leibniz Institute for the Social Sciences
Publication year: 2024
DOI: 10.4232/1.14398, 10.4232/1.14195, 10.4232/1.14080, 10.4232/1.14065, 10.4232/1.13745
Study number: ZA7777
Contributor, Institution, Role: Bauer, Irina - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Börlin, Simon - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Bretschi, David - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Brüggemann, Katja - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Christmann, Pablo - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Edinger, Rüdiger - University of Cologne - ProjectMember, Eigenbrodt, Felicitas - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Firl, Katrin - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Frembs, Lena Claudia - German Federal Institute for Population Research - ProjectMember, Groß, Katharina - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Hoherz, Stefanie - German Federal Institute for Population Research - ProjectMember, Kunz, Tanja - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Lück, Detlev - German Federal Institute for Population Research - ProjectMember, Naderi, Robert - German Federal Institute for Population Research - ProjectMember, Naumann, Elias - German Federal Institute for Population Research - ProjectMember, Nutz, Theresa - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Oehrlein, Anne-Sophie - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Ruckdeschel, Kerstin - German Federal Institute for Population Research - ProjectMember, Schmid, Lisa - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Schumann, Almut - German Federal Institute for Population Research - ProjectMember, Schumann, Nina - University of Cologne - ProjectMember, Stein, Annika - GESIS - Leibniz Institute for the Social Sciences - ProjectMember, Thönnissen, Carolin - University of Cologne - ProjectMember, Ullrich, Emely - GESIS - Leibniz Institute for the Social Sciences - ProjectMember
Publisher: GESIS
Current Version: 4.1.0, 2024-11-15, https://doi.org/10.4232/1.14398
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 4.1.0 | 2024-11-15 Release 4.1.0 (current version) https://doi.org/10.4232/1.14398 |
| 4.0.0 | 2024-05-31 Release 4.0.0 https://doi.org/10.4232/1.14195 |
| 3.0.0 | 2023-07-31 Release 3.0.0 (partner and para data) https://doi.org/10.4232/1.14080 |
| 2.0.0 | 2023-05-31 Release 2.0.0 https://doi.org/10.4232/1.14065 |
| 1.0.0 | 2022-05-31 first archive edition https://doi.org/10.4232/1.13745 |
Publications: Schneider, N.F., Bujard, M., Wolf, C., Gummer, T., Hank, K. and Neyer, F.J. 2021. Family Research and Demographic Analysis (FReDA): Evolution, framework, objectives, and design of “The German Family Demography Panel Study”. Comparative Population Studies, 46. DOI: https://doi.org/10.12765/CPoS-2021-06, Hank, K., Gummer, T., Bujard, M., Neyer, Franz J., Pollak, R., Spieß, C. Katharina, Wolf, C., Christmann, P., Kunz, T., Lück, D., Naderi, R., Nutz, T., Schmid, L., Thönnissen, C. (2024). A new data infrastructure for family research and demographic analysis: the German Family Demography Panel Study (FReDA). European Sociological Review, jcae019. https://doi.org/10.1093/esr/jcae019
Study group: FReDA – The German Family Demography Panel Study
Linked
information:Publications (13)
information:Publications (13)
Date(s) of Data Collection: 01.09.2023 - 14.09.2023
GESIS, Cologne. ZA8765 Data file Version 1.0.0, https://doi.org/10.4232/1.14211
GESIS, Cologne. ZA8765 Data file Version 1.0.0, https://doi.org/10.4232/1.14211
Abstract: Demographic change in Europe.
Abstract: Demographic change in Europe.
Content: Topics: most pressing demographic challenges in the own country; most important threats to the EU’s economic prosperity and competitiveness; attitude towards the following statements about the current demographic trends in the EU: contribute to labour shortages, contribute to skills mismatches, put the EU´s long-term economic prosperity and competitiveness at risk, undermine long-term sustainability of public finances, intensify differences between and within EU member states, affect personal prospects and future possibilities; preferred level of action to manage demographic change: EU level, member state level, both levels, measures to manage demographic change should not be a political priority; attitude towards the following statement: managing demographic change requires close cooperation between all relevant levels of government; most effective actions to address the consequences of a shrinking workforce in the own country: facilitate the combination of paid work and private life, facilitate longer working lives, reform pensions systems, facilitate labour mobility and migration to attract talent from abroad, address youth unemployment, support regions affected by depopulation, other; preferred governmental actions in the own country to enable the current and future generations to lead an active life in old age: support lifelong education and training, adjust workplace conditions to the needs of older persons, allow people to continue working past the official retirement age if they want to, make sure pensions are high enough, provide high-quality and affordable health care services, provide high-quality and affordable long-term care services, provide adequate and affordable housing, other; attitude towards the following statement: digital technologies, robotics and artificial intelligence can help address the consequences of a shrinking and ageing population, including possible labour shortages.
Demography: age; sex; nationality; financial difficulties; age at end of education; occupation; professional position; type of community; household composition and household size; own a mobile phone and fixed (landline) phone.
Additionally coded was: respondent ID; country; type of phone line; region; nation group; weighting factor.
Topics: International politics and organisations, Elderly, DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES)
Date(s) of Data Collection: 01.09.2023 - 14.09.2023
Date(s) of Data Collection: 01.09.2023 - 14.09.2023, total, 04.09.2023 - 09.09.2023, Belgium, 01.09.2023 - 14.09.2023, Bulgaria, 01.09.2023 - 10.09.2023, Czechia, 04.09.2023 - 12.09.2023, Denmark, 04.09.2023 - 11.09.2023, Germany, 04.09.2023 - 10.09.2023, Estonia, 04.09.2023 - 09.09.2023, Ireland, 04.09.2023 - 10.09.2023, Greece, 04.09.2023 - 08.09.2023, Spain, 04.09.2023 - 09.09.2023, France, 04.09.2023 - 11.09.2023, Croatia, 04.09.2023 - 09.09.2023, Italy, 04.09.2023 - 08.09.2023, Cyprus, 04.09.2023 - 10.09.2023, Latvia, 04.09.2023 - 11.09.2023, Lithuania, 04.09.2023 - 09.09.2023, Luxembourg, 04.09.2023 - 09.09.2023, Hungary, 04.09.2023 - 09.09.2023, Malta, 04.09.2023 - 09.09.2023, Netherlands, 04.09.2023 - 09.09.2023, Austria, 04.09.2023 - 11.09.2023, Poland, 04.09.2023 - 09.09.2023, Portugal, 04.09.2023 - 10.09.2023, Romania, 04.09.2023 - 13.09.2023, Slovenia, 01.09.2023 - 08.09.2023, Slovakia, 04.09.2023 - 11.09.2023, Finland, 04.09.2023 - 10.09.2023, Sweden
Geographic coverage: Belgium (BE), Bulgaria (BG), Czech Republic (CZ), Denmark (DK), Germany (DE), Estonia (EE), Ireland (IE), Greece (GR), Spain (ES), France (FR), Italy (IT), Cyprus (CY), Latvia (LV), Lithuania (LT), Luxembourg (LU), Hungary (HU), Malta (MT), Netherlands (NL), Austria (AT), Poland (PL), Portugal (PT), Romania (RO), Slovenia (SI), Slovakia (SK), Finland (FI), Sweden (SE), Croatia (HR)
Universe: Population of the respective nationalities of the European Union Member States and other EU nationals, resident in each of the 27 Member States and aged 15 years and over
Number of Units: 25677
Sampling Procedure: • Probability: Simple random;
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Telephone interview: Computer-assisted (CATI);
Data Collector: Ipsos European Public affairs, Brussels
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 170
Principal Investigator/ Authoring Entity, Institution: European Commission, Brussels; Directorate General Communication, COMM.A.3 ´Media monitoring and Eurobarometer´ -
Publication year: 2023
DOI: 10.4232/1.14211
Study number: ZA8765
Publisher: GESIS
Research data center: FDZ Int. Umfrageprogramm bei GESIS
Current Version: 1.0.0, 2023-11-13, https://doi.org/10.4232/1.14211
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2023-11-13 Archive release (current version) https://doi.org/10.4232/1.14211 |
Publications: European Commission: Flash Eurobarometer 534. Demographic change in Europe. Conducted by Ipsos European Public affairs at the request of the European Commission, Secretariat-General. Survey co-ordinated by the European Commission, Directorate-General for Communication (DG COMM “Media monitoring and Eurobarometer” Unit)). Brussels, October 2023. doi:10.2792/202453
Study group: EB - Flash Eurobarometer
Brüderl, Josef; Bujard, Martin; Drobnič, SonjaGummer, Tobias; Hank, Karsten; Neyer, Franz J.; Pollak, Reinhard; Schneider, Norbert F.; Spieß, Katharina; Walper, Sabine; Wolf, Christof
Date(s) of Data Collection: 09.2008 - 01.03.2023
GESIS, Cologne. ZA8756 Data file Version 1.0.0, https://doi.org/10.4232/1.14197
GESIS, Cologne. ZA8756 Data file Version 1.0.0, https://doi.org/10.4232/1.14197
Abstract: FReDA/pairfam Campus Use Files (CUFs) provide a reduced data set of the FReDA and pairfam studies and are intended for teaching purposes only. Data users are advised not ... more
Abstract: FReDA/pairfam Campus Use Files (CUFs) provide a reduced data set of the FReDA and pairfam studies and are intended for teaching purposes only. Data users are advised not ... more
Topics: LABOUR AND EMPLOYMENT, DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), EDUCATION, HEALTH, SOCIAL STRATIFICATION AND GROUPINGS, Family life and marriage, Children, Gender and gender roles, Social behaviour and attitudes
Date(s) of Data Collection: 09.2008 - 01.03.2023
Date(s) of Data Collection: 09.2008 - 05.2009, pairfam wave 1, 10.2009 - 04.2010, pairfam wave 2 (start DemoDiff sample with items from wave 1 of the pairfam survey) , 10.2010 - 04.2011, pairfam wave 3, 10.2011 - 05.2012, pairfam wave 4, 10.2012 - 05.2013, pairfam wave 5, 10.2013 - 05.2014, pairfam wave 6, 10.2014 - 05.2015, pairfam wave 7, 10.2015 - 05.2016, pairfam wave 8, 10.2016 - 05.2017, pairfam wave 9, 10.2017 - 05.2018, pairfam wave 10, 10.2018 - 05.2019, pairfam wave 11, 10.2019 - 07.2020, pairfam Welle 12, 10.2020 - 04.2021, pairfam wave 13, 10.2021 - 04.2022, pairfam wave 14, 07.04.2021 - 29.06.2021, FReDA wave W1R, 07.07.2021 - 22.09.2021, FReDA wave W1A, 11.08.2021 - 17.11.2021, FReDA wave W1APartner, 04.11.2021 - 31.01.2022, FReDA wave W1B, 04.05.2022 - 07.07.2022, FReDA wave W2A, 25.05.2022 - 07.09.2022, FReDA wave W2APartner, 12.10.2022 - 31.01.2023, FReDA wave W2B, 02.11.2022 - 01.03.2023, FReDA wave W2BPartner
Geographic coverage: Germany (DE)
Universe: FReDA: All persons registered in Germany aged 18-49 (FReDA-GGS). Nationwide randomly selected individuals from birth cohorts 1971-73, 1981-83, 1991-93 and 2001-03 (FReDA-pairfam)
pairfam: Nationwide randomly selected individuals from birth cohorts 1971-73, 1981-83, 1991-93 and 2001-03
Number of Units:
FReDA:
Welle W1R: 18 878
Welle W1A: 11 034
Welle W1APartner: 3 554
Welle W1B: 10 090
Welle W2A: 11 742
Welle W2APartner: 3 948
Welle W2B: 11 132
Welle W2BPartner: 3 607
pairfam:
Welle 1: 6 228 Anker pairfam +
718 Anker DemoDiff + 1 891 Partner pairfam + 320 Partner DemoDiff
Welle 2: 4 551 Anker pairfam +
561 Anker DemoDiff + 1 361 Partner
Welle 3: 4 514 Anker + 1 457 Partner
Welle 4: 4 042 Anker + 1 335 Partner
Welle 5: 3 616 Anker + 1 260 Partner
Welle 6: 3 279 Anker + 1 168 Partner
Welle 7: 2 976 Anker + 1 103 Partner
Welle 8: 2 753 Anker + 1 024 Partner
Welle 9: 2 604 Anker + 986 Partner
Welle 10: 2 412 Anker + 900 Partner
Welle 11: 4 751 Anker + 1 345 Partner
Welle 12: 3 856 Anker + 1 194 Partner
Welle 13: 3 553 Anker + 1 207 Partner
Welle 14: 2 737 Anker + 871 Partner
Sampling Procedure: • Probability: Multistage;
Random sampling of register data of the German municipalities’ population registers.
Mode of Data Collection: FReDA: Mixed-mode-survey:
Self-administered web-based questionnaire (CAWI) & self-administered paper questionnaire (PAPI)
pairfam: Anchor Persons: Face-to-face interview with standardized questionnaire (CAPI and CASI for sensitive topics); incentive of 10€ cash per realized interview in waves 1 to 8. Since 9th wave 15€ cash incentive. Due to the COVID-19 pandemic the survey mode was changed to computer-assisted telephone interviews (CATI) in late April 2020 (wave 12), with an additional postal questionnaire (PAPI) covering sensitive topics. Wave 13 offered the possibility to conduct the anchor interview via CATI plus PAPI as an alternative to CAPI throughout the entire fielding period. The 14th survey wave already marks the transition to the project "FReDA - The German Family Demography Panel Study". Consequently, a planned change in the survey mode took place for many respondents: Most anchor persons were invited by mail (with an unconditional incentive of 5€ in cash) to participate in an online survey (CAWI).
Data Collector: FReDA: GESIS – Leibniz Institute for the Social Sciences; Infas Institute for Applied Social Science
pairfam: Kantar Public (former TNS Infratest Sozialforschung)
Analysis System(s): SPSS, Stata
Number of Variables:
FReDA:
Welle W1R: 101
Welle W1A: 530
Welle W1APartner: 150
Welle W1B: 370
Welle W2A: 434
Welle W2APartner: 172
Welle W2B: 454
Welle W2BPartner: 162
pairfam:
Welle 1: 1 154 Anker pairfam + 1 154 Anker DemoDiff + 215 Partner pairfam + 215 Partner DemoDiff
Welle 2: 2 855 Anker pairfam + 17 Anker DemoDiff + 269 Partner
Welle 3: 3 388 Anker + 264 Partner
Welle 4: 3 225 Anker + 258 Partner
Welle 5: 3 158 Anker + 296 Partner
Welle 6: 3 155 Anker + 284 Partner
Welle 7: 3 421 Anker + 311 Partner
Welle 8: 3 266 Anker + 46 CARI + 297 Partner
Welle 9: 3 349 Anker + 312 Partner
Welle 10: 3 190 Anker + 13 Anker-Vignetten + 277 Partner + 8 Partner-Vignetten
Welle 11: 4 337 Anker + 15 Anker-Vignetten + 313 Partner
Welle 12: 3 309 Anker + 21 Anker-Vignetten + 239 Partner
Welle 13: 3 334 Anker + 278 Partner
Welle 14: 1 003 Anker (CAPI) + 999 Anker (CAWI) + 709 Anker (PAPI) + 155 Partner
biopart data set: 133
Principal Investigator/ Authoring Entity, Institution: Brüderl, Josef - Ludwig-Maximilians-Universität München, Bujard, Martin - Bundesinstitut für Bevölkerungsforschung, Drobnič, Sonja - Universität Bremen, Gummer, Tobias - GESIS – Leibniz-Institut für Sozialwissenschaften, Hank, Karsten - Universität zu Köln, Neyer, Franz J. - Friedrich-Schiller-Universität Jena, Pollak, Reinhard - GESIS – Leibniz-Institut für Sozialwissenschaften, Schneider, Norbert F. - Bundesinstitut für Bevölkerungsforschung, Spieß, Katharina - Bundesinstitut für Bevölkerungsforschung, Walper, Sabine - Ludwig-Maximilians-Universität München, Wolf, Christof - GESIS – Leibniz-Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.4232/1.14197
Study number: ZA8756
Contributor, Institution, Role: Alt, Philipp - Ludwig-Maximilians-Universität München - ProjectMember, Bauer, Irina - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Böhm, Simon - Ludwig-Maximilians-Universität München - ProjectMember, Börlin, Simon - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Borschel, Elisabeth - Friedrich-Schiller-Universität Jena - ProjectMember, Bozoyan, Christiane - Ludwig-Maximilians-Universität München - ProjectMember, Bozoyan, Christiane - Ludwig-Maximilians-Universität München - ProjectMember, Bretschi, David - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Brüggemann, Katja - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Christmann, Pablo - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Edinger, Rüdiger - Universität zu Köln - ProjectMember, Eigenbrodt, Felicitas - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Firl, Katrin - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Frembs, Lena Claudia - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Garrett, Madison - Ludwig-Maximilians-Universität München - ProjectMember, Geissler, Svenja - Ludwig-Maximilians-Universität München - ProjectMember, Gonzalez Avilés, Tita - Friedrich-Schiller-Universität Jena - ProjectMember, Gröpler, Nicolai - Universität Bremen - ProjectMember, Groß, Katharina - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Hajek, Kristin - Ludwig-Maximilians-Universität München - ProjectMember, Herzig, Michel - Ludwig-Maximilians-Universität München - ProjectMember, Hoherz, Stefanie - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Kunz, Tanja - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Lorenz, Renate - Ludwig-Maximilians-Universität München - ProjectMember, Lück, Detlev - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Lutz, Katharina - Ludwig-Maximilians-Universität München - ProjectMember, Naderi, Robert - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Naumann, Elias - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Nutz, Theresa - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Oehrlein, Anne-Sophie - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Peter, Timo - Universität Bremen - ProjectMember, Preetz, Richard - Universität Bremen - ProjectMember, Reim, Julia - Ludwig-Maximilians-Universität München - ProjectMember, Ruckdeschel, Kerstin - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Sawatzki, Barbara - Ludwig-Maximilians-Universität München - ProjectMember, Schmid, Lisa - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Schmiedeberg, Claudia - Ludwig-Maximilians-Universität München - ProjectMember, Schütze, Philipp - Ludwig-Maximilians-Universität München - ProjectMember, Schumann, Almut - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Schumann, Nina - Universität zu Köln - ProjectMember, Stein, Annika - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Thönnissen, Carolin - Universität zu Köln - ProjectMember, Timmermann, Katharina - Universität Bremen - ProjectMember, Ullrich, Emely - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Wetzel, Martin - Universität zu Köln - ProjectMember
Publisher: GESIS
Current Version: 1.0.0, 2024-07-31, https://doi.org/10.4232/1.14197
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-07-31 first archive edition (current version) https://doi.org/10.4232/1.14197 |
Publications: Schneider, N.F., Bujard, M., Wolf, C., Gummer, T., Hank, K., Neyer, F.J. 2021. Family Research and Demographic Analysis (FReDA): Evolution, framework, objectives, and design of “The German Family Demography Panel Study”. Comparative Population Studies, 46. DOI: https://doi.org/10.12765/CPoS-2021-06 , Hank, K., Gummer, T., Bujard, M., Neyer, Franz J., Pollak, R., Spieß, C. Katharina, Wolf, C., Christmann, P., Kunz, T., Lück, D., Naderi, R., Nutz, T., Schmid, L., Thönnissen, C. (2024). A new data infrastructure for family research and demographic analysis: the German Family Demography Panel Study (FReDA). European Sociological Review, jcae019. https://doi.org/10.1093/esr/jcae019, Huinink, Johannes, Josef Brüderl, Bernhard Nauck, Sabine Walper, Laura Castiglioni und Michael Feldhaus:
Panel Analysis of Intimate Relationships and Family Dynamics (pairfam): Conceptual framework and design.
Zeitschrift für Familienforschung 23, 2011: 77-101
Study group: FReDA – The German Family Demography Panel Study
Date(s) of Data Collection: 22.08.2022 - 29.09.2022
GESIS, Cologne. ZA7967 Data file Version 1.0.0, https://doi.org/10.4232/1.14078
GESIS, Cologne. ZA7967 Data file Version 1.0.0, https://doi.org/10.4232/1.14078
Abstract: Since 24 February 2022, the European Union has experienced a mass influx of people fleeing the war in Ukraine. In response, the European Council activated the Temporary P ... more
Abstract: Since 24 February 2022, the European Union has experienced a mass influx of people fleeing the war in Ukraine. In response, the European Council activated the Temporary P ... more
Content: 1. Questionnaire adults:
Living in Ukraine just before the war on 24 February 2022; current country of residence; valid biometric passport; kind of problems when entering the EU; type of information received (education in the current country, employment, learning the language of the current country, accommodation, health care, psychological support services);
household composition: respondent’s sex; current marital status; family members remaining in Ukraine; frequency of contact with family members in Ukraine by different means of contact; family members in the current country;
housing: sharing housing with others; accommodation with a host or a host family; paying rent for housing; housework, care for children or older people in exchange for housing; problems with accommodation (e.g. lack of privacy, too much noise, no quiet/ separate room for children to study, etc.); satisfaction with the current accommodation;
residence and status: applied for temporary protection; current possession of a residence permit; information on the rights and benefits provided in understandable language; outcome of temporary protection application; applied for asylum; outcome of the asylum application; future plans;
education: attendance of education just before leaving Ukraine; current educational attendance; mode of education; current level of education; reasons for not attending school; assessment of skills in the language of the country of residence; attendance of national language courses; satisfaction with the current education;
employment: looking for work in the country of residence; problems in accessing employment; currently in paid work; if not currently in paid work: in paid work in the current country since leaving Ukraine; main reasons for not working; starting new job or business in the current country; kind of employment contract; correspondence between current job and level of education; experienced problems at work (e.g., labour exploitation); sector of economy of labour exploitation;
economic situation: types of income; actors providing assistance; possession of a bank account in the current country; ability of household to make ends meet;
living situation: feeling of unfairly treatment; current state of mind (satisfaction with life);
health: subjective assessment of own health condition; longstanding illness or health problem; limitation in daily activities in the past six months because of a health problem; problems when using or trying to use health care services; using of health care services in the country; frequency of different feelings since arrival in the current country;
violence: experiences with various forms of violence in Ukraine since the war started in February 2022 and in the EU; reporting any of these incidents that happened during the time in the EU to the police or to any other authority or organisation; consequences (result) of the incidents experienced since the war started in February 2022; medical or psychological support received;
demographic characteristics: main activity status/ employment situation just before leaving Ukraine; urbanization; main language(s) spoken at home; comfort scale about having neighbours with different backgrounds (e. g. a person with disabilities, someone from Russia, etc.); belonging to minority groups; where did the respondent hear about the survey; agreement with participation of children.
2. Questionnaire children:
Parent’s consent; residing in Ukraine before the war; current country of residence; valid biometric passport; kind of problems when entering the EU; type of information received (education in the current country, employment, learning the language of the current country, accommodation, health care, psychological support services);
household composition in Ukraine just before the war started; family members co-fleeing Ukraine; family members remaining in Ukraine; frequency of contact with family members in Ukraine by different means of contact; family members in the current country; legal guardian in the current country;
housing: sharing housing with others; accommodation with a host or a host family; paying rent for housing; housework, care for children or older people in exchange for housing; problems with accommodation (e.g. lack of privacy, too much noise, no quiet/ separate room for children to study, etc.); satisfaction with the current accommodation;
residence and status: applied for temporary protection; current possession of a residence permit; future plans;
education: school attendance just before leaving Ukraine; current school attendance; mode of education; current level of education; reasons for not attending school; teachers speaking the language that the respondent mainly speaks at home; study materials in the language that the respondent mainly speaks at home; assessment of skills in the language of the country of residence; attendance of a country language course; satisfaction with the current education/ training;
employment: looking for work in the country of residence; problems in accessing employment; currently in paid work; if not currently in paid work: in paid work in the current country since leaving Ukraine; starting new job or business in the current country; kind of employment contract; correspondence between current job and level of education; experienced problems at work (e.g., labour exploitation); sector of economy of labour exploitation;
economic situation: ability of household to make ends meet;
living situation: possession of items (computer/ tablet, internet (at home), mobile phone or smartphone); frequency of contact with people in the current country of residence (friends from school and with friends from outside of school); participation in different activities in leisure; feeling of unfairly treatment; current state of mind (satisfaction with life);
health: subjective assessment of own health condition; longstanding illness or health problem; problems when using or trying to use health care services; using of health care services in the country; frequency of different feelings since arrival in the current country; speaking about problems with whom; frequency of using support services (school counsellor, psychologist outside the school);
violence: experiences with various forms of violence in Ukraine since the war started in February 2022 and in the EU; reporting any of these incidents that happened during the time in the EU to the police or to any other authority or organisation; consequences (result) of the incidents experienced since the war started in February 2022; medical or psychological support received;
demographic characteristics: sex; urbanization; main language(s) spoken at home; comfort scale about having neighbours with different backgrounds (e. g. a person with disabilities, someone from Russia, etc.); belonging to minority groups; where did the respondent hear about the survey; influence of other persons present during the interview.
Recoded variables: Respondent’s age; number of children under respondent’s responsibility; length of stay in current country; citizenship(s) possessed; where does the respondent currently live; highest level of education completed; minority in terms of racial or ethnic origin, or religion; respondent considers being LGBT; activity limitation; accommodation type.
Additionally coded were: random respondent ID; adult or children; respondent ID of the person by whom child was referred to the questionnaire; current country of residence; last page; start language; country in which the respondent is currently staying; weighting factors.
Topics: DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), Migration, SOCIAL STRATIFICATION AND GROUPINGS, Minorities
Date(s) of Data Collection: 22.08.2022 - 29.09.2022
Geographic coverage: Bulgaria (BG), Czech Republic (CZ), Germany (DE), Estonia (EE), Spain (ES), Hungary (HU), Italy (IT), Poland (PL), Romania (RO), Slovakia (SK)
Universe: The survey universe are people who at the time of the survey:
- were at least 12 years old*;
- were staying in a country selected for the survey (even if only passing through it at the time);
- were Ukrainian citizens or residents, including EU or third-country nationals, who resided permanently in Ukraine prior to 24 February 2022; and
- have arrived in the EU shortly before or after 24 February 2022.
* Only respondents aged at least 16 years could fill in the survey using the survey link that was distributed in the survey promotion campaign. Children aged 12-15 years could fill in the survey only if they received a survey link from their legal guardian that has filled in the survey.
Number of Units: 14685
Sampling Procedure: • Non-probability;
The online survey on persons displaced from Ukraine was an open online opt-in survey. This means that, unlike in surveys with probability sampling, respondents included themselves in the sample. This design was chosen because at the time of the survey it was not possible to obtain a representative random sample of people displaced from Ukraine across the EU. This was due to the fact that there were no reliable sampling frames in the survey countries and no information about the target population in terms of its size, characteristics, and composition (see also the notes on weighting in the "Further notes" box).
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI);
Data Collector: EU Fundamental Rights Agency
Analysis System(s): SPSS, Stata
Kind of Data: Numeric
Number of Variables: 383
Notes: The dataset includes information on the level of the respondent. The dataset consists of one row per unit, which includes information about the respondent. Each respondent has a unique random identifier RESPONDENT_ID. Respondents aged 12-15 years could fill in the survey only with the consent of their legal guardian. For children that were referred to the survey, the variable adultReferrer provides the RESPONDENT_ID of their legal guardian.
Weighting: In the absence of reliable official population statistics on the number and structure of the target population, the estimates of the sizes of the target population were used to provide the basis for a post-stratification weighting. To account for (estimated) population structure in terms of gender, age and country, the combined weight TENWEIGHT can be used for weighted analysis on country as well as on survey level.
The dataset was subjected to a detailed assessment of confidentiality. The answer categories of some variables (for example HH02, Children, EntCountry or DE02) were aggregated into broader ranges or groups to ensure the anonymity of respondents. Some variables are not published in the anonymized dataset, for example the answers in the open text field.
There were two versions of the questionnaire – for adults and for children. The version of the questionnaire for adults was provided to respondents aged 18+ years. Respondents aged 12–17 received a shorter, age-appropriate version of the adult questionnaire, with several child-specific questions. Children aged 16–17 received relevant questions from the adult questionnaire. Some variables have different names for children and adult respondents. This is because some questions were formulated (slightly) differently for adults and children. For example, in case of question SatAcc, the variable SatAcc_SatAcc contains the answers of respondents who received the adult questionnaire while variable SarAcc_SQ001 contains the answers of respondents who received the child questionnaire.
Principal Investigator/ Authoring Entity, Institution: - European Union Agency for Fundamental Rights (FRA), Vienna, Austria
Publication year: 2023
DOI: 10.4232/1.14078
Study number: ZA7967
Contributor, Institution, Role: Fric, Karel - European Union Agency for Fundamental Rights - DataCurator
Publisher: GESIS
External links: project page at FRA
Current Version: 1.0.0, 2023-04-28, https://doi.org/10.4232/1.14078
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2023-04-28 first archive edition (current version) https://doi.org/10.4232/1.14078 |
Publications: European Union Agency for Fundamental Rights (FRA):
Fleeing Ukraine : Displaced people´s experiences in the EU.
https://fra.europa.eu/en/publication/2023/ukraine-survey
Study group: Surveys from European Union Agency for Fundamental Rights (FRA), GESIS Community Data
Linked
information:Publications (1)
information:Publications (1)
Bujard, Martin; Gummer, Tobias; Hank, KarstenNeyer,Franz J.; Pollak, Reinhard; Schneider, Norbert F.; Spieß, Katharina; Wolf, Christof
Date(s) of Data Collection: 07.04.2021 - 31.01.2022
GESIS, Cologne. ZA8755 Data file Version 1.0.0, https://doi.org/10.4232/1.14196
GESIS, Cologne. ZA8755 Data file Version 1.0.0, https://doi.org/10.4232/1.14196
Abstract: The FReDA Restricted Use File (RUF) provides access to sensitive data (country of birth, open data, etc.) and regional data (BIK regions, INSPIRE IDs, etc.) that have bee ... more
Abstract: The FReDA Restricted Use File (RUF) provides access to sensitive data (country of birth, open data, etc.) and regional data (BIK regions, INSPIRE IDs, etc.) that have bee ... more
Topics: LABOUR AND EMPLOYMENT, DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), SOCIAL STRATIFICATION AND GROUPINGS, Family life and marriage, Children, Gender and gender roles, General health and well-being, Elites and leadership, Social behaviour and attitudes, EDUCATION, Public health, Reproductive health
Date(s) of Data Collection: 07.04.2021 - 31.01.2022
Date(s) of Data Collection: 07.04.2021 - 29.06.2021, wave W1R, 07.07.2021 - 22.09.2021, wave W1A, 04.11.2021 - 31.01.2022, wave W1B, 22.08.2021 - 17.11.2021, wave W1Apartner
Geographic coverage: Germany (DE)
Universe: All persons registered in Germany aged 18-49
Number of Units:
Welle W1R: 38583
Welle W1A: 22472
Welle W1B: 20673
Welle W1Apartner: 7383
Sampling Procedure: • Probability: Multistage;
Random sampling of register data of the German municipalities’ population registers
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI)
• Self-administered questionnaire: Paper;
Data Collector: Infas Institute for Applied Social Science
Analysis System(s): SPSS, Stata
Number of Variables:
Welle W1R: 131
Welle W1A: 999
Welle W1B: 442
Welle W1Apartner: 199
Principal Investigator/ Authoring Entity, Institution: Bujard, Martin - Bundesinstitut für Bevölkerungsforschung, Gummer, Tobias - GESIS – Leibniz-Institut für Sozialwissenschaften, Hank, Karsten - Universität zu Köln, Neyer,Franz J. - Friedrich-Schiller-Universität Jena, Pollak, Reinhard - GESIS – Leibniz-Institut für Sozialwissenschaften, Schneider, Norbert F. - Bundesinstitut für Bevölkerungsforschung, Spieß, Katharina - Bundesinstitut für Bevölkerungsforschung, Wolf, Christof - GESIS – Leibniz-Institut für Sozialwissenschaften
Publication year: 2024
DOI: 10.4232/1.14196
Study number: ZA8755
Contributor, Institution, Role: Bauer, Irina - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Börlin, Simon - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Bretschi, David - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Brüggemann, Katja - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Christmann, Pablo - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Edinger, Rüdiger - Universität zu Köln - ProjectMember, Eigenbrodt, Felicitas - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Frembs, Lena Claudia - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Groß, Katharina - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Kunz, Tanja - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Lück, Detlev - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Naderi, Robert - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Naumann, Elias - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Nutz, Theresa - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Oehrlein, Anne-Sophie - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Ruckdeschel, Kerstin - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Schmid, Lisa - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Schumann, Almut - Bundesinstitut für Bevölkerungsforschung - ProjectMember, Schumann, Nina - Universität zu Köln - ProjectMember, Stein, Annika - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember, Thönnissen, Carolin - Universität zu Köln - ProjectMember, Ullrich, Emely - GESIS – Leibniz-Institut für Sozialwissenschaften - ProjectMember
Publisher: GESIS
Current Version: 1.0.0, 2024-12-16, https://doi.org/10.4232/1.14196
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-12-16 first archive edition (current version) https://doi.org/10.4232/1.14196 |
Publications: Schneider, N.F., Bujard, M., Wolf, C., Gummer, T., Hank, K. and Neyer, F.J. 2021. Family Research and Demographic Analysis (FReDA): Evolution, framework, objectives, and design of “The German Family Demography Panel Study”. Comparative Population Studies, 46. DOI: https://doi.org/10.12765/CPoS-2021-06
, Hank, K., Gummer, T., Bujard, M., Neyer, Franz J., Pollak, R., Spieß, C. Katharina, Wolf, C., Christmann, P., Kunz, T., Lück, D., Naderi, R., Nutz, T., Schmid, L., Thönnissen, C. (2024). A new data infrastructure for family research and demographic analysis: the German Family Demography Panel Study (FReDA). European Sociological Review, jcae019. https://doi.org/10.1093/esr/jcae019
Study group: FReDA – The German Family Demography Panel Study
Hadjar, Andreas; Ackermann, Kathrin; Auspurg, KatrinBühler, Christoph; Carol, Sarah; Friehs, Maria-Therese; Hillmert, Steffen; Tausendpfund, Markus
Date(s) of Data Collection: 01.06.2021 - 01.08.2021
GESIS, Cologne. ZA5288 Data file Version 1.0.0, https://doi.org/10.4232/1.14451
GESIS, Cologne. ZA5288 Data file Version 1.0.0, https://doi.org/10.4232/1.14451
Abstract: ALLBUS (GGSS - the German General Social Survey) is a biennial trend survey based on random samples of the German population. Established in 1980, its mission is to monit ... more
Abstract: ALLBUS (GGSS - the German General Social Survey) is a biennial trend survey based on random samples of the German population. Established in 1980, its mission is to monit ... more
Date(s) of Data Collection: 01.06.2021 - 01.08.2021
Geographic coverage: Germany (DE)
Universe: All persons (German and non-German) who resided in private households and were born before 1 January 2003.
Number of Units: 5342
Sampling Procedure: • Probability: Stratified: Disproportional
• Probability: Multistage;
Two stage disproportionate random sample in western Germany (incl. West Berlin) and eastern Germany (incl. East Berlin). In the first sample stage municipalities (Gemeinden) in western Germany and municipalities in eastern Germany were selected with a probability proportional to their number of adult residents; in the second sample stage individual persons were selected at random from the municipal registers of residents. Targeted individuals who did not have adequate knowledge of German to conduct the interview were treated as systematic unit non-responses.
Mode of Data Collection: • Self-administered questionnaire: Paper
• Self-administered questionnaire: Web-based (CAWI);
ALLBUS/GGSS 2021 was conducted as a mixed-mode survey. The target persons had the choice between the two modes MAIL and CAWI. Different survey modes are preferred by different subpopulations, as was the case in ALLBUS/GGSS 2021. To account for this self-selection, it is strongly recommended that the cases from both modes be analyzed together.
Data Collector: Kantar Public, Munich
Analysis System(s): SPSS, Stata
Number of Variables: 40
Notes: Respondents from the area of the new federal states are oversampled.
Additional information on the KonsortSWD project can be found at: https://www.konsortswd.de/angebote/harmonisierte-variablen.
Additional ALLBUS information is available at: http://www.gesis.org/allbus.
Principal Investigator/ Authoring Entity, Institution: Hadjar, Andreas - Universität Luxemburg, Ackermann, Kathrin - Universität Siegen, Auspurg, Katrin - LMU München, Bühler, Christoph - Universität Hannover, Carol, Sarah - University College Dublin, Friehs, Maria-Therese - FernUniversität Hagen, Hillmert, Steffen - Universität Tübingen, Tausendpfund, Markus - FernUniversität Hagen
Publication year: 2024
DOI: 10.4232/1.14451
Study number: ZA5288
Publisher: GESIS
Research data center: FDZ ALLBUS bei GESIS
Current Version: 1.0.0, 2024-12-16, https://doi.org/10.4232/1.14451
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2024-12-16 First publication (current version) https://doi.org/10.4232/1.14451 |
Publications: Schneider, S. L., Palm, L., Partsch, M., Ortmanns, V., & Müller, S. (2023). Soziodemographische Standardvariablen zur Output-Harmonisierung von Umfragedaten. Hintergrund und Validierungsergebnisse. KonsortSWD. https://doi.org/10.5281/zenodo.10391296.
Study group: ALLBUS
Stefan Bauernschuster; Andreas Diekmann; Detlef FetchenhauerAndreas Hadjar; Frauke Kreuter; Karin Kurz; Stefan Liebig; Ulrich Rosar; Michael Wagner; Ulrich Wagner; Bettina Westle
Date(s) of Data Collection: 24.03.2014 - 09.2018
GESIS Data Archive, Cologne. ZA5262 Data file Version 3.0.0, https://doi.org/10.4232/1.13762
GESIS Data Archive, Cologne. ZA5262 Data file Version 3.0.0, https://doi.org/10.4232/1.13762
Abstract: The addresses of ALLBUS survey respondents form the basis for the allocation of small-scale geodata. With the aid of geocoding (i.e. the calculation of geo-coordinates fr ... more
Abstract: The addresses of ALLBUS survey respondents form the basis for the allocation of small-scale geodata. With the aid of geocoding (i.e. the calculation of geo-coordinates fr ... more
Date(s) of Data Collection: 24.03.2014 - 09.2018
Date(s) of Data Collection: 24.03.2014 - 13.09.2014, 06.04.2016 - 18.09.2016, 04.2018 - 09.2018
Geographic coverage: Germany (DE)
Universe: Residents in private households in the Federal Republic of Germany born before 1 January 1996.
Number of Units: 10437
Sampling Procedure: Two stage disproportionate random sample in western Germany (incl. West Berlin) and eastern Germany (incl. East Berlin) from all persons (German and non-German) who resided in private households and were born before 1 January 1996. In the first sample stage municipalities (Gemeinden) in western Germany and municipalities in eastern Germany were selected with a probability proportional to their number of adult residents; in the second sample stage individual persons were selected at random from the municipal registers of residents.
Targeted individuals who did not have adequate knowledge of German to conduct the interview were treated as systematic unit non-responses.
Analysis Unit: Geographic unit
Mode of Data Collection: Personal interview with standardized questionnaire (CAPI – Computer Assisted Personal Interviewing) and two additional self-completion questionnaires (CASI – Computer Assisted Self-Interviewing) for ISSP (split questionnaire design).
Data Collector: TNS Infratest Sozialforschung, Munich
Analysis System(s): SPSS, Stata
Kind of Data: Numeric, Geospatial
Number of Variables: 169
Notes: Just like the regional identifiers, this data set is subject to special access restrictions, because the small-scale geo-attributes may allow deanonymization of the survey participants. For this reason, the data can only be used on-site in the Secure Data Center of GESIS. You will find more information and contact persons on our website.
Please contact the ALLBUS user service first and send us the completed ALLBUS geodata form (see documents), in which you specify exactly which variables you need from the data set. As soon as you have clarified the modalities of data access with the ALLBUS user service, the data usage contract for the use of the data at a guest workstation (Safe Room) will be sent to you.
A Digital Object Identifier (DOI) for use in data citations is supplied as part of the data set.
Additional information on ALLBUS is available at:
http://www.gesis.org/en/allbus
Principal Investigator/ Authoring Entity, Institution: Stefan Bauernschuster - Universität Passau, Andreas Diekmann - ETH Zürich, Detlef Fetchenhauer - Universität zu Köln, Andreas Hadjar - Université du Luxembourg, Frauke Kreuter - Universität München, Karin Kurz - Universität Göttingen, Stefan Liebig - Universität Bielefeld, Ulrich Rosar - Universität Düsseldorf, Michael Wagner - Universität zu Köln, Ulrich Wagner - Universität Marburg, Bettina Westle - Universität Marburg
Publication year: 2021
DOI: 10.4232/1.13762, 10.4232/1.13192, 10.4232/1.13020
Study number: ZA5262
Publisher: GESIS Data Archive
Research data center: FDZ ALLBUS bei GESIS
Current Version: 3.0.0, 2021-09-08, https://doi.org/10.4232/1.13762
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 3.0.0 | 2021-09-08 third archive version (current version) https://doi.org/10.4232/1.13762 |
| 2.0.0 | 2018-11-30 second archive edition https://doi.org/10.4232/1.13192 |
| 1.0.0 | 2018-08-02 first archive edition https://doi.org/10.4232/1.13020 |
Publications: Wasmer, M., M. Blohm, J. Walter, R. Jutz & E. Scholz (2017): Konzeption und Durchführung der ´Allgemeinen Bevölkerungsumfrage der Sozialwissenschaften´ (ALLBUS) 2014. GESIS - Technical Reports 2017/20. Köln: GESIS, Schweers, S., K. Kinder-Kurlanda, S. Müller and P. Siegers (2016): "Conceptualizing a spatial data infrastructure for the social sciences: an example from Germany." Journal of Map & Geography Libraries 12 (1): 100-126. doi: dx.doi.org/10.1080/15420353.2015.1100152.
, Müller, S., S. Schweers & P. Siegers (2017): Geocoding and Spatial Linking of Survey Data: An Introduc-tion for Social Scientists. GESIS Papers 2017/15. Unter: https://www.ssoar.info/ssoar/handle/document/52316
Study group: ALLBUS
Linked
information:Publications (5)
information:Publications (5)
Tosun, Jale; Hörisch, Felix; Schuck, BettinaShore, Jennifer; Woywode, Michael; Strohmeyer, Robert; Kittel, Bernhard; Steiber, Nadia; Warmuth, Julia; Mühlböck, Monika; Lukes, Martin; Lorenc, Miroslav; Lorencová, Hana; Pauknerová, Daniela; Nový, Ivan; Jensen, Carsten; Arndt, Christoph; Littvay, Levente; Vegetti, Federico; Sata, Robert; Balea, Elena C.; Caserta, Maurizio; Boindo, Alessio E.; Reito, Francesco; Monteleone, Simona; Arco, José L.; Fernandez, Francisco; Hughes, Stephen; Carrillo, Francisco J.; Vancea, Mihaela; Jordana, Jacint; Freitag, Markus; Rapp, Carolin; Cemalcilar, Zeynep; Sümer, Nebi; Kamiloglu, Roza; Coskan, Canan; Maloney, William; Rainsford, Emily; Tsakloglou, Panos; Pierrakakis, Kyriakos; Christoforou, Asimina; Makantasi, Fay
Date(s) of Data Collection: 01.02.2016 - 30.04.2016
GESIS Data Archive, Cologne. ZA7475 Data file Version 1.0.0, https://doi.org/10.4232/1.13042
GESIS Data Archive, Cologne. ZA7475 Data file Version 1.0.0, https://doi.org/10.4232/1.13042
Abstract: The CUPESSE data is a survey of young adult residents of 11 European countries and their parents. It focuses on economic self-sufficiency, employability, entrepreneurship ... more
Abstract: The CUPESSE data is a survey of young adult residents of 11 European countries and their parents. It focuses on economic self-sufficiency, employability, entrepreneurship ... more
Topics: LABOUR AND EMPLOYMENT, DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), EDUCATION, SOCIETY AND CULTURE, HEALTH, POLITICS, PSYCHOLOGY, SOCIAL WELFARE POLICY AND SYSTEMS, SOCIAL STRATIFICATION AND GROUPINGS, ECONOMICS
Date(s) of Data Collection: 01.02.2016 - 30.04.2016
Geographic coverage: Austria (AT), Switzerland (CH), Czech Republic (CZ), Germany (DE), Denmark (DK), Hungary (HU), Italy (IT), United Kingdom (GB), Spain (ES), Greece (GR), Turkey (TR)
Universe: Young adults aged from 18 to 35 years
Number of Units: 20008
Sampling Procedure: • Mixed probability and non-probability;
Probability Sample
Non-probability Sample
Temporal Research Design: Cross-section
Analysis Unit: Individual
Mode of Data Collection: • Self-administered questionnaire: Web-based (CAWI)
• Face-to-face interview: Computer-assisted (CAPI/CAMI)
• Face-to-face interview: Paper-and-pencil (PAPI)
• Telephone interview: Computer-assisted (CATI);
Interview with young adults:
Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Face-to-face interview: PAPI (Paper and Pencil Interview)
Interview with parents:
Self-administered questionnaire: CAWI (Computer Assisted Web Interview)
Telephone interview: CATI (Computer Assisted Telephone Interview)
Face-to-face interview: CAPI (Computer Assisted Personal Interview)
Face-to-face interview: PAPI (Paper and Pencil Interview)
Data Collector: Austria: Gallup Austria;
Czech Republic: Median;
Demark: TNS Gallup Denmark;
Germany: YouGov;
Greece: unbekannt;
Hungary: TARKI;
Italy: SWG;
Spain: Netquest, MDK;
Switzerland: Gfs Bern;
Turkey: Infakto Research Workshop;
United Kingdom: IPSOS Mori
Analysis System(s): SPSS, Stata, CSV
Kind of Data: Numeric
Number of Variables: 426
Notes: Survey unit: adults###
Principal Investigator/ Authoring Entity, Institution: Tosun, Jale - Heidelberg University, Heidelberg, Germany, Hörisch, Felix - Heidelberg University, Heidelberg, Germany, Schuck, Bettina - Heidelberg University, Heidelberg, Germany, Shore, Jennifer - Heidelberg University, Heidelberg, Germany, Woywode, Michael - Mannheim University, Mannheim, Germany, Strohmeyer, Robert - Mannheim University, Mannheim, Germany, Kittel, Bernhard - University of Vienna, Vienna, Austria, Steiber, Nadia - University of Vienna, Vienna, Austria, Warmuth, Julia - University of Vienna, Vienna, Austria, Mühlböck, Monika - University of Vienna, Vienna, Austria, Lukes, Martin - University of Economics, Prague, Czech Republic, Lorenc, Miroslav - University of Economics, Prague, Czech Republic, Lorencová, Hana - University of Economics, Prague, Czech Republic, Pauknerová, Daniela - University of Economics, Prague, Czech Republic, Nový, Ivan - University of Economics, Prague, Czech Republic, Jensen, Carsten - Aarhus University, Aarhus, Denmark, Arndt, Christoph - Aarhus University, Aarhus, Denmark, Littvay, Levente - Central European University, Budapest, Hungary, Vegetti, Federico - Central European University, Budapest, Hungary, Sata, Robert - Central European University, Budapest, Hungary, Balea, Elena C. - Central European University, Budapest, Hungary, Caserta, Maurizio - University of Catania, Catania, Italy, Boindo, Alessio E. - University of Catania, Catania, Italy, Reito, Francesco - University of Catania, Catania, Italy, Monteleone, Simona - University of Catania, Catania, Italy, Arco, José L. - University of Granada, Granada, Spain, Fernandez, Francisco - University of Granada, Granada, Spain, Hughes, Stephen - University of Granada, Granada, Spain, Carrillo, Francisco J. - University of Granada, Granada, Spain, Vancea, Mihaela - Pompeu Fabra University of Barcelona, Barcelona, Spain, Jordana, Jacint - Pompeu Fabra University of Barcelona, Barcelona, Spain, Freitag, Markus - University of Bern, Bern, Switzerland, Rapp, Carolin - University of Bern, Bern, Switzerland, Cemalcilar, Zeynep - Koç University of Istanbul, Istanbul, Turkey, Sümer, Nebi - Koç University of Istanbul, Istanbul, Turkey, Kamiloglu, Roza - Koç University of Istanbul, Istanbul, Turkey, Coskan, Canan - Koç University of Istanbul, Istanbul, Turkey, Maloney, William - Newcastle University upon Tyne, Newcastle, United Kingdom, Rainsford, Emily - Newcastle University upon Tyne, Newcastle, United Kingdom, Tsakloglou, Panos - diaNEOsis, Athens, Greece, Pierrakakis, Kyriakos - diaNEOsis, Athens, Greece, Christoforou, Asimina - diaNEOsis, Athens, Greece, Makantasi, Fay - diaNEOsis, Athens, Greece
Publication year: 2018
DOI: 10.4232/1.13042
Study number: ZA7475
Contributor, Institution, Role: GESIS - Distributor, GESIS - HostingInstitution
Publisher: GESIS Data Archive
Current Version: 1.0.0, 2018-06-05, https://doi.org/10.4232/1.13042
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2018-06-05 first archive edition (current version) https://doi.org/10.4232/1.13042 |
Publications: http://cupesse.eu/publications/, Tosun, J., Arco-Tirado, J.L., Caserta, M. et al.:
Perceived economic self-sufficiency: a country- and generation-comparative approach.
In: European Political Science (2018), online first
https://link.springer.com/content/pdf/10.1057%2Fs41304-018-0186-3.pdf
Study group: GESIS Community Data
Linked
information:Publications (2)
information:Publications (2)
Date(s) of Data Collection: 01.01.1950 - 31.12.2013
GESIS Data Archive, Cologne. ZA8640 Data file Version 1.0.0, https://doi.org/10.4232/1.12774
GESIS Data Archive, Cologne. ZA8640 Data file Version 1.0.0, https://doi.org/10.4232/1.12774
Abstract: The system of social indicators for the Federal Republic of Germany - developed in its original version as part of the SPES project under the direction of Wolfgang Zapf - ... more
Abstract: The system of social indicators for the Federal Republic of Germany - developed in its original version as part of the SPES project under the direction of Wolfgang Zapf - ... more
Content: The data for the area of life ´population´ is made up as follows:
Agglomeration and migration: external migration, number of immigration, net migration, share of immigration from the EU in total immigration, number of asylum seekers per 10,000 inhabitants. Population density: population density, population density in independent cities, population density in large cities, population density in communities with less than 5000 inhabitants. Regional mobility: internal migration. Burden on the working population: total burden of support (inactive population ratio), burden of supporting children (children´s quotient), burden of supporting students (education quotient), burden of supporting older people (old-age quotient). Population size, growth and structure: Population size (resident population (end of year), population growth rate, natural population growth), generative behavior (net production rate, combined birth rate, mean age at first child), population structure (proportion of the population under 15 years, proportion of the population between 15 and 15). y. and 65 y., proportion of the population over 65 years of age), ethnic structure and integration (proportion of foreigners, proportion of foreigners from the European Union, proportion of marriages between Germans and foreigners, consent for foreigners to remain). Forms of cohabitation: propensity to marry (marriage rate of 35 to 45 year olds, marriage age of single people, combined first marriage rate (= total marriage rate)), importance of stability of marriage and family (out-of-wedlock birth rate, divorce rate, combined divorce rate, remarriage rate), lifestyles and family types (Proportion of single-person households, proportion of incomplete families, proportion of non-marital partnerships, families with children, families with one child, families with two children, families with three children, families with four or more children), widowhood disparity (gender ratio of widowed people aged 65 and over). year of life), subjective evaluation of the family (ideal number of children, importance of the family, family satisfaction). Household structure: contraction tendency (proportion of 3- and 4-generation households, proportion of the population in large households (5 or more people)), solitarization (proportion of the population in single-person households).
Topics: DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), Migration, SOCIAL STRATIFICATION AND GROUPINGS, Economic conditions and indicators, Social conditions and indicators, Family life and marriage, Social change
Date(s) of Data Collection: 01.01.1950 - 31.12.2013
Geographic coverage: Germany (DE)
Number of Units: 65 Zeitpunkte
Sampling Procedure: Sources:
Official statistics, Large survey programs.
Temporal Research Design: Time series
Analysis Unit: Political-administrative area
Mode of Data Collection: • Aggregation;
Analysis System(s): Excel
Kind of Data: Numeric
Number of Variables: 197 Zeitreihen
Principal Investigator/ Authoring Entity, Institution: Noll, Heinz-Herbert - GESIS - Leibniz Institut für Sozialwissenschaften, Mannheim, Weick, Stefan - GESIS - Leibniz Institut für Sozialwissenschaften, Mannheim
Publication year: 2017
DOI: 10.4232/1.12774
Study number: ZA8640
Publisher: GESIS Data Archive
External links: Online-Database SAFE
Current Version: 1.0.0, 2017-04-27, https://doi.org/10.4232/1.12774
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2017-04-27 (current version) https://doi.org/10.4232/1.12774 |
Publications: Noll, Heinz-Herbert (1995): The digital information system social indicators: a new form of presentation of the German system of social indicators. Statistical Journal of the United Nations ECE 12, 369-378., Noll, Heinz-Herbert (2004): Social Indicators and Quality of Life Research: Background, Achievements and Current Trends. In: Genov, N. (Ed.), 2004: Advances in Sociological Knowledge Over Half a Century (pp. 151-181). Wiesbaden: VS Verlag für Sozialwissenschaften., Noll, Heinz-Herbert (2014): German System of Social Indicators. In: Michalos, A. C. (ed.): Encyclopedia of Quality of Life and Well-Being Research, Heidelberg: Springer, S. 2541-2544. (Online Version zuletzt aktualisiert 2022), Noll, Heinz-Herbert (2016): Zur Geschichte der Sozialindikatorenforschung: Messung, Beobachtung und Analyse der Lebensqualität. In: Presse- und Informationsamt der Bundesregierung (Hg.): Regierungsstrategie zur Lebensqualität in Deutschland. Diskussionsbeiträge des wissenschaftlichen Beirats. Berlin., Noll, Heinz-Herbert (2018): Social Monitoring and Reporting: A Success Story in Applied Research on Social Indicators and Quality of Life. Social Indicators Research, 135(3): 951–964., Zapf, Wolfgang (Hg.) (1977): Lebensbedingungen in der Bundesrepublik: Sozialer Wandel und Wohlfahrtsentwicklung. Frankfurt am Main: Campus Verlag., Zapf, Wolfgang (1979): Applied social reporting: a social indicators system for West German society. Social Indicators Research, 6, 397-419., Ballerstedt, Eike, Glatzer, Wolfgang, Helberger, Christof, Mayer, Karl Ulrich, Noll, Heinz-Herbert, Ruge, Rainer, Sehringer, Roswitha, Steger, Almut, Wiegand, Erich, Zapf, Wolfgang (1977): SPES-Indikatorentableau. Soziale Welt, Jg. 28, Heft 4: 424-465., Zapf, Wolfgang (Hg.) (1977): Lebensbedingungen in der Bundesrepublik: Sozialer Wandel und Wohlfahrtsentwicklung. Frankfurt am Main: Campus Verlag., Zapf, Wolfgang (1979): Applied social reporting: a social indicators system for West German society. Social Indicators Research, 6, 397-419.
Study group: System of Social Indicators for the Federal Republic of Germany, GESIS Community Data
Linked
information:Publications (1)
information:Publications (1)
Date(s) of Data Collection: 01.01.1980 - 31.12.2013
GESIS Data Archive, Cologne. ZA8693 Data file Version 1.0.0, https://doi.org/10.4232/1.13691
GESIS Data Archive, Cologne. ZA8693 Data file Version 1.0.0, https://doi.org/10.4232/1.13691
Abstract: The European System of Social Indicators provides a systematically selected collection of time-series data to measure and monitor individual and societal well-being and s ... more
Abstract: The European System of Social Indicators provides a systematically selected collection of time-series data to measure and monitor individual and societal well-being and s ... more
Content: The data on the area of life ´Crime and public safety´ is made up as follows: Demographic and socio-economic structures, inequalities, inequality and social exclusion, human capital, objective living conditions, values and attitudes.
Topics: DEMOGRAPHY (POPULATION, VITAL STATISTICS, AND CENSUSES), Income, property and investment/saving, Crime and law enforcement, Equality, inequality and social exclusion, Religion and values
Date(s) of Data Collection: 01.01.1980 - 31.12.2013
Geographic coverage: Austria (AT), Belgium (BE), Bulgaria (BG), Switzerland (CH), Cyprus (CY), Czech Republic (CZ), Germany (DE), Estonia (EE), Spain (ES), Finland (FI), France (FR), United Kingdom (GB-UKM), Great Britain (GB-GBN), Greece (GR), Croatia (HR), Hungary (HU), Ireland (IE), Iceland (IS), Italy (IT), Japan (JP), Lithuania (LT), Luxembourg (LU), Latvia (LV), North Macedonia (MK), Malta (MT), Netherlands (NL), Norway (NO), Poland (PL), Portugal (PT), Romania (RO), Sweden (SE), Slovenia (SI), Slovakia (SK)
Number of Units: 33 Zeitpunkte
Temporal Research Design: Time series
Analysis Unit: Political-administrative area
Mode of Data Collection: • Aggregation;
Analysis System(s): Excel
Kind of Data: Numeric
Principal Investigator/ Authoring Entity, Institution: Noll, Heinz-Herbert - GESIS - Leibniz Institut für Sozialwissenschaften, Mannheim, Berger-Schmitt, Regina - GESIS - Leibniz Institut für Sozialwissenschaften, Mannheim
Publication year: 2020
DOI: 10.4232/1.13691
Study number: ZA8693
Publisher: GESIS Data Archive
External links: Online-Database SAFE
Current Version: 1.0.0, 2020-12-10, https://doi.org/10.4232/1.13691
Version history:
| Version number | Date, Name, DOI |
|---|---|
| 1.0.0 | 2020-12-10 (current version) https://doi.org/10.4232/1.13691 |
Publications: Berger-Schmitt, R., Noll, H.-H. (2000). Conceptual framework and structure of a European System of Social Indicators. EuReporting Working Paper No. 9, Centre for Survey Research and Methodology (ZUMA), Social Indicators Department, Mannheim., Berger-Schmitt, R., Noll, H.-H. (2000). Zur Konzeption eines europäischen Systems sozialer Indika-toren. In: P.Ph. Mohler, P. Lüttinger (Hrsg.): Querschnitt. Festschrift für Max Kaase. Mannheim: ZUMA, S. 29-45, Noll, H.-H. (2002). Towards a European system of social indicators: Theoretical framework and system architecture. Social Indicators Research, 58, 47–84., Noll, H.-H. (2014). European System of Social Indicators. In: Michalos, Alex C. (ed.): Encyclopedia of Quality of Life and Well-Being Research, Heidelberg: Springer, S. 2027-2030. (Online version, lastly updated 2023).
Study group: European System of Social Indicators, GESIS Community Data
