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Patient Joe (open-ended question)

Schonlau, Matthias
GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2474
Abstract: The data can be used to study the classification of open-ended questions. It is not suitable for subject matter analysis becase it is not linked to any other data. The question asked: "Joe’s doctor told him that he would need to return in two weeks to find out whether or not his condition had improved. But when Joe asked the receptionist for an appointment, he was told that it would be over a month before the next available appointment. What should Joe do? " The answer was categorized by two coders into one of 4 categories: destructive, passive, somewhat proactive, proactive. The coding bo ... mehr
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Lizenz: CC BY 4.0: Attribution (https://creativecommons.org/licenses/by/4.0/deed.de)
Fachgebiet: Medizin, Sozialmedizin
Themen: Methodenforschung | Codierung

Methodologie

Erhebungszeitraum: 2007-01; 2008-12
Untersuchungsgebiet: Vereinigte Staaten von Amerika / US
Untersuchungsgebiet (Freitext): [New England]
Zeitliches Forschungsdesign: Querschnitt
Erhebungsmodus: Persönliches Interview

Bibliographische Angaben

Primärforschende, Institution: Schonlau, Matthias; University of Waterloo
Publikationsjahr: 2022
DOI: 10.7802/2474
Studiennummer: SDN-10.7802-2474
Herausgeber: GESIS, Köln

Versionen

Aktuelle Version: 1.0.0, https://doi.org/10.7802/2474

Referenzpublikationen

Veröffentlichungen: Gweon, H. Schonlau M. (2022). Automated classification for open-ended questions with BERT. arXiv preprint. | Martin L, Schonlau M, Haas A, Rosenfeld L, Pitkin Derose K, Buka, S, Rudd R. Patient activation and advocacy: Which Literacy Skills Matter Most? Journal of Health Communication, 2011; 16(Suppl 3):177-190. PMID: 21951251. https://doi.org/10.1 ... mehr

Zitieren

Schonlau, Matthias (2022). Patient Joe (open-ended question). GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2474.

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