dc.contributor.author | Zahle, Julie | |
dc.date.accessioned | 2021-05-26T12:04:23Z | |
dc.date.available | 2021-05-26T12:04:23Z | |
dc.date.created | 2020-04-15T13:24:48Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 0039-7857 | |
dc.identifier.uri | https://hdl.handle.net/11250/2756453 | |
dc.description.abstract | Qualitative researchers sometimes talk about objectivity in relation to qualitative data sets. In this paper, I defend a reconstructed notion of objective qualitative data sets that may serve as a useful and reachable guiding ideal in qualitative data generation. In the first part of the paper, I develop the ideal. According to it, a qualitative data set is objective to the extent that it, in conjunction with true assumptions, possesses a combination of good-making features (epistemic values, epistemic virtues) in virtue of which the data set is suited to serve as evidence base for a satisfying answer to the research question under study. In the second part of the paper, I examine and reject two possible lines of objection to this ideal: One is that it picks out the wrong good-making features. The other is that the very focus on good-making features is misguided: the objectivity of a qualitative data set should instead be seen as a matter of how it was generated or evaluated. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Springer | en_US |
dc.rights | Navngivelse 4.0 Internasjonal | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/deed.no | * |
dc.title | Objective Data Sets in Qualitative Research | en_US |
dc.type | Journal article | en_US |
dc.type | Peer reviewed | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | Copyright 2020 The Authors | en_US |
cristin.ispublished | true | |
cristin.fulltext | postprint | |
cristin.qualitycode | 2 | |
dc.identifier.doi | https://doi.org/10.1007/s11229-020-02630-2 | |
dc.identifier.cristin | 1806365 | |
dc.source.journal | Synthese | en_US |
dc.identifier.citation | Synthese. 2020 | en_US |