dc.contributor.author | Stadtmüller, Sven | de |
dc.contributor.author | Beuthner, Christoph | de |
dc.date.accessioned | 2020-06-25T14:04:37Z | |
dc.date.available | 2020-06-25T14:04:37Z | |
dc.date.issued | 2020 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/68112 | |
dc.description.abstract | Transparency and reproducibility are key elements of good science, and this also holds for the process
of data collection in scientific surveys. To conduct analyses based on survey data collected by others,
researchers heavily depend on accurate documentation of all stages in the data collection process, either
for generating new scientific evidence or for reviewing previous research findings (e.g., in replication
studies). In this contribution, we propose documentation guidelines for mail surveys. In doing this,
we not only focus on mail-only surveys but also cover documentation guidelines for self-administered
mixed-mode surveys, thus taking into account their growing importance in the survey landscape. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.title | Documentation of mail data collection (Version 1.0) | 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 | Datengewinnung | de |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Datendokumentation | de |
dc.subject.thesoz | data documentation | en |
dc.subject.thesoz | postalische Befragung | de |
dc.subject.thesoz | mail survey | en |
dc.subject.thesoz | Transparenz | de |
dc.subject.thesoz | transparency | en |
dc.subject.thesoz | Datenaufbereitung | de |
dc.subject.thesoz | data preparation | en |
dc.identifier.urn | urn:nbn:de:0168-ssoar-68112-2 | |
dc.rights.licence | Creative Commons - Namensnennung, Nicht-kommerz. 4.0 | de |
dc.rights.licence | Creative Commons - Attribution-NonCommercial 4.0 | en |
ssoar.contributor.institution | GESIS | de |
internal.status | noch nicht fertig erschlossen | de |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10040537 | |
internal.identifier.thesoz | 10037912 | |
internal.identifier.thesoz | 10066371 | |
internal.identifier.thesoz | 10040524 | |
dc.type.stock | monograph | de |
dc.type.document | Arbeitspapier | de |
dc.type.document | working paper | en |
dc.source.pageinfo | 12 | 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_032 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 32 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.identifier.series | 1376 | |
ssoar.wgl.collection | true | de |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |