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It can be found at https://www.ssoar.info/ssoar/handle/document/56369.2
Cognitive Pretesting (Version 2.0)
[working paper]
dc.contributor.author | Lenzner, Timo | de |
dc.contributor.author | Neuert, Cornelia | de |
dc.contributor.author | Otto, Wanda | de |
dc.date.accessioned | 2018-03-13T13:57:22Z | |
dc.date.available | 2018-03-13T13:57:22Z | |
dc.date.issued | 2016 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/56369 | |
dc.description.abstract | In survey research, cognitive pretesting is generally considered an essential prerequisite for the successful development of a questionnaire and thus for the quality of the data collected within the framework of a survey. This contribution provides an introduction to the topic of questionnaire pretesting and focuses especially on the planning and implementation of cognitive pretests. The following questions are addressed, in particular: What is a pretest and why should you conduct questionnaire pretests? What pretesting procedures are available and which one should you choose? What techniques are applied in cognitive pretests? How are cognitive pretests conducted? How are cognitive pretests evaluated? | en |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.title | Cognitive Pretesting (Version 2.0) | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.publisher.country | DEU | |
dc.publisher.city | Mannheim | de |
dc.source.series | GESIS Survey Guidelines | |
dc.subject.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | Befragung | de |
dc.subject.thesoz | survey | en |
dc.subject.thesoz | Antwortverhalten | de |
dc.subject.thesoz | response behavior | en |
dc.subject.thesoz | Fragebogen | de |
dc.subject.thesoz | questionnaire | en |
dc.subject.thesoz | Pretest | de |
dc.subject.thesoz | pretest | en |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Datenqualität | de |
dc.subject.thesoz | data quality | en |
dc.subject.thesoz | Umfrageforschung | de |
dc.subject.thesoz | survey research | en |
dc.rights.licence | Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0 | en |
ssoar.contributor.institution | GESIS | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10037910 | |
internal.identifier.thesoz | 10035808 | |
internal.identifier.thesoz | 10037914 | |
internal.identifier.thesoz | 10060165 | |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10055811 | |
internal.identifier.thesoz | 10040714 | |
dc.type.stock | monograph | de |
dc.type.document | Arbeitspapier | de |
dc.type.document | working paper | en |
dc.source.pageinfo | 7 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.document | 3 | |
dc.contributor.corporateeditor | GESIS - Leibniz-Institut für Sozialwissenschaften | |
internal.identifier.corporateeditor | 133 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.15465/gesis-sg_en_010 | de |
dc.description.pubstatus | Erstveröffentlichung | de |
dc.description.pubstatus | Primary Publication | en |
internal.identifier.licence | 20 | |
internal.identifier.pubstatus | 5 | |
internal.identifier.review | 1 | |
internal.identifier.series | 1376 | |
ssoar.wgl.collection | true | de |
internal.pdf.version | 1.5 | |
internal.pdf.valid | true | |
internal.pdf.wellformed | true | |
internal.pdf.ocr | null Page_2 Page_3 Page_7 Page_8 Page_9 | |
internal.check.abstractlanguageharmonizer | CERTAIN | |
internal.check.languageharmonizer | CERTAIN_RETAINED |
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Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods