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dc.contributor.authorOANA, Ioana-Elena
dc.contributor.authorSCHNEIDER, Carsten Q.
dc.contributor.authorTHOMANN, Eva
dc.date.accessioned2021-12-16T08:58:04Z
dc.date.available2021-12-16T08:58:04Z
dc.date.issued2021
dc.identifier.citationCambridge : Cambridge University Press, 2021, Methods for social inquiryen
dc.identifier.isbn9781009006781
dc.identifier.isbn9781316518724
dc.identifier.isbn9781009009935
dc.identifier.urihttps://hdl.handle.net/1814/73407
dc.description.abstractA comprehensive introduction and teaching resource for state-of-the-art Qualitative Comparative Analysis (QCA) using R software. This guide facilitates the efficient teaching, independent learning, and use of QCA with the best available software, reducing the time and effort required when encountering not just the logic of a new method, but also new software. With its applied and practical focus, the book offers a genuinely simple and intuitive resource for implementing the most complete protocol of QCA. To make the lives of students, teachers, researchers, and practitioners as easy as possible, the book includes learning goals, core points, empirical examples, and tips for good practices. The freely available online material provides a rich body of additional resources to aid users in their learning process. Beyond performing core analyses with the R package QCA, the book also facilitates a close integration with the R package SetMethods allowing for a host of additional protocols for building a more solid and well-rounded QCAen
dc.description.tableofcontentsPart I Getting Started Part II Before the Analytic Moment Part III During the Analytic Moment Part IV After the Analytic Moment
dc.language.isoenen
dc.publisherCambridge University Pressen
dc.subject.lcshQualitative research -- Data processingen
dc.subject.lcshR (Computer program language)en
dc.subject.lcshSocial sciences -- Comparative methoden
dc.subject.lcshQualitative research -- Methodologyen
dc.titleQualitative comparative analysis using R : a beginner's guideen
dc.typeBooken
dc.identifier.doi10.1017/9781009006781
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