Shortcuts
SISSA Library . Default .
PageMenu- Hauptmenü-
Page content

Catalogue Tag Display

MARC 21

Configural Frequency Analysis: Foundations, Models, and Applications /
Kategorie Beschreibung
020$a9783662640081$9978-3-662-64008-1
082$a300.727$223
099$aOnline resource: Springer
100$avon Eye, Alexander.$eauthor.$4aut$4http://id.loc.gov/vocabulary/relators/aut
245$aConfigural Frequency Analysis$h[EBook] :$bFoundations, Models, and Applications /$cby Alexander von Eye, Wolfgang Wiedermann.
250$a1st ed. 2021.
260$aBerlin, Heidelberg :$bSpringer Berlin Heidelberg :$bImprint: Springer,$c2021.
300$aX, 393 p. 35 illus., 1 illus. in color.$bonline resource.
336$atext$btxt$2rdacontent
337$acomputer$bc$2rdamedia
338$aonline resource$bcr$2rdacarrier
440$aStatistics for Social and Behavioral Sciences,$x2199-7365
505$aPreface -- 1 Questions that Can Be Answered with CFA -- 2 Elements of CFA -- 3 Models of CFA -- 4 Models of Longitudinal CFA -- 5 Designs for CFA -- 6 Special Variables in CFA -- 7 The CFA Treasure Chest -- 8 CFA Software -- Index.
520$aThis unique book provides a comprehensive and detailed coverage of configural frequency analysis (CFA), the most useful method of analysis of categorical data in person-oriented research. It presents the foundations, methods, and models of CFA and features numerous empirical data examples from a range of disciplines that can be reproduced by the readers. It also addresses computer applications, including relevant R packages and modules. Configural frequency analysis is a statistical method that allows the processing of important and interesting questions in categorical data. The perspective of CFA differs from the usual perspective of relations among variables; its focus is on patterns of variable categories that stand out with respect to specific hypotheses, and as such, CFA allows for testing numerous substantive hypotheses. The book describes the origins of CFA and their relation to chi-square analysis as well as the developments that are based on log-linear modeling. The models covered range from simple models of variable independence to complex models that are needed when causal hypotheses are tested. Empirical data examples are provided for each model. New models are introduced for person-oriented mediation analysis and locally optimized time series analysis, and new results concerning the characteristics of CFA methods are bolstered using Monte Carlo simulations. Primarily intended for researchers and students in the social and behavioral sciences, the book will also appeal to anyone who deals with categorical data from a person-centered perspective.
533$nMode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format.
538$aOnline access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
700$aWiedermann, Wolfgang.$eauthor.$4aut$4http://id.loc.gov/vocabulary/relators/aut
710$aSpringerLink (Online service)
830$aStatistics for Social and Behavioral Sciences,$x2199-7365
856$uhttps://doi.org/10.1007/978-3-662-64008-1
Schnellsuche