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dc.contributor.authorRosenthal, Gabriele,
dc.date.accessioned2018-10-01 23:55:55
dc.date.accessioned2019-11-28 14:10:54
dc.date.accessioned2020-04-01T11:56:27Z
dc.date.available2020-04-01T11:56:27Z
dc.date.issued2018
dc.identifier1002466
dc.identifierOCN: 1082954859en_US
dc.identifier.urihttp://library.oapen.org/handle/20.500.12657/27538
dc.description.abstractThis volume is a clear introduction to methods of data collection and analysis in the social sciences, with a special focus on interpretive methods based on a logic of discovering hypotheses and grounded theories. The chief methods presented are participant observation, open interviews and biographical case reconstruction. The special advantages of interpretive methods, as against other qualitative methods, are revealed by comparing them to content analysis. Empirical examples show how the methods presented can be implemented in practice, and concrete problems connected with conducting empirical research are discussed. By presenting individual case studies, the author shows how to apply the principle of openness when collecting empirical data, whether through interviews or observations, and she offers rules for analysis based on the principles of reconstruction and sequentiality.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::J Society and Social Sciencesen_US
dc.subject.othersocial research
dc.titleInterpretive Social Research - An Introduction
dc.typebook
oapen.abstract.otherlanguageThis volume is a clear introduction to methods of data collection and analysis in the social sciences, with a special focus on interpretive methods based on a logic of discovering hypotheses and grounded theories. The chief methods presented are participant observation, open interviews and biographical case reconstruction. The special advantages of interpretive methods, as against other qualitative methods, are revealed by comparing them to content analysis. Empirical examples show how the methods presented can be implemented in practice, and concrete problems connected with conducting empirical research are discussed. By presenting individual case studies, the author shows how to apply the principle of openness when collecting empirical data, whether through interviews or observations, and she offers rules for analysis based on the principles of reconstruction and sequentiality.
oapen.identifier.doi10.17875/gup2018-1103
oapen.relation.isPublishedByffaff15c-73ed-45cd-8be1-56a881b51f62
oapen.identifier.ocn1082954859


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