LEADER 04027nam 22006015 450 001 9910520062503321 005 20250504232142.0 010 $a3-662-64008-2 024 7 $a10.1007/978-3-662-64008-1 035 $a(MiAaPQ)EBC6840238 035 $a(Au-PeEL)EBL6840238 035 $a(CKB)20443410600041 035 $a(PPN)269153845 035 $a(DE-He213)978-3-662-64008-1 035 $a(EXLCZ)9920443410600041 100 $a20220103d2021 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aConfigural Frequency Analysis $eFoundations, Models, and Applications /$fby Alexander von Eye, Wolfgang Wiedermann 205 $a1st ed. 2021. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2021. 215 $a1 online resource (401 pages) 225 1 $aStatistics for Social and Behavioral Sciences,$x2199-7365 311 08$aPrint version: von Eye, Alexander Configural Frequency Analysis Berlin, Heidelberg : Springer Berlin / Heidelberg,c2022 9783662640074 320 $aIncludes bibliographical references and index. 327 $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. 330 $aThis unique book provides a comprehensive and detailed coverage of configural frequency analysis (CFA), the most useful method of analysis of categorical data in person-oriented research. It presents the foundations, methods, and models of CFA and features numerous empirical data examples from a range of disciplines that can be reproduced by the readers. It also addresses computer applications, including relevant R packages and modules. Configural frequency analysis is a statistical method that allows the processing of important and interesting questions in categorical data. The perspective of CFA differs from the usual perspective of relations among variables; its focus is on patterns of variable categories that stand out with respect to specific hypotheses, and as such, CFA allows for testing numerous substantive hypotheses. The book describes the origins of CFA and their relation to chi-square analysis as well as the developments that are based on log-linear modeling. The models covered range from simple models of variable independence to complex models that are needed when causal hypotheses are tested. Empirical data examples are provided for each model. New models are introduced for person-oriented mediation analysis and locally optimized time series analysis, and new results concerning the characteristics of CFA methods are bolstered using Monte Carlo simulations. Primarily intended for researchers and students in the social and behavioral sciences, the book will also appeal to anyone who deals with categorical data from a person-centered perspective. 410 0$aStatistics for Social and Behavioral Sciences,$x2199-7365 606 $aSocial sciences$xStatistical methods 606 $aPsychology$xMethodology 606 $aStatistics 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aPsychological Methods 606 $aStatistical Theory and Methods 615 0$aSocial sciences$xStatistical methods. 615 0$aPsychology$xMethodology. 615 0$aStatistics. 615 14$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aPsychological Methods. 615 24$aStatistical Theory and Methods. 676 $a519.535 700 $aEye$b Alexander von$0148929 702 $aWiedermann$b Wolfgang$f1981- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910520062503321 996 $aConfigural frequency analysis$92624414 997 $aUNINA