03958nam 22006375 450 991030015840332120220413191039.03-319-05536-410.1007/978-3-319-05536-7(CKB)3710000000118071(EBL)1731057(OCoLC)885122249(SSID)ssj0001216370(PQKBManifestationID)11728717(PQKBTitleCode)TC0001216370(PQKBWorkID)11189384(PQKB)10546077(MiAaPQ)EBC1731057(DE-He213)978-3-319-05536-7(PPN)178780863(EXLCZ)99371000000011807120140524d2014 u| 0engur|n|---|||||txtccrPerson-centered methods Configural Frequency Analysis (CFA) and other methods for the analysis of contingency tables /by Mark Stemmler1st ed. 2014.Cham :Springer International Publishing :Imprint: Springer,2014.1 online resource (94 p.)SpringerBriefs in Statistics,2191-544XDescription based upon print version of record.1-322-03930-5 3-319-05535-6 Includes bibliographical references at the end of each chapters and index.Introducing Person-Centered Methods -- CFA Software -- Significance Testing in CFA -- CFA and Log-Linear Modeling -- Longitudinal CFA -- Other Person-Centered Methods Serving as Complimentary Tools to CFA -- CFA and its derivatives -- Glossary -- Index.This book takes an easy-to-understand look at the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or objects grouped according to their characteristic patterns or configurations in contingency tables. The main focus of the book will be on Configural Frequency Analysis (CFA; Lienert and Krauth, 1975) which is a statistical method that looks for over and under-frequented cells or patterns. Over frequented means that the observations in this cell or configuration are observed more often than expected, under-frequented means that this cell or configuration is observed less often than expected. In CFA a pattern or configuration that contains more observed cases than expected is called a type; similarly, a pattern or configuration that is less observed than expected are called an antitype. CFA is similar to log-linear modeling. In log-linear modeling the goal is to come up with a fitting model including all important variables. Instead of fitting a model, CFA looks at the significant residuals of a log-linear model. The book describes the use of an R-package called confreq (derived from Configural Frequency Analysis). The use of the software package is described and demonstrated with data examples.SpringerBriefs in Statistics,2191-544XStatistics Statistics for Social Sciences, Humanities, Lawhttps://scigraph.springernature.com/ontologies/product-market-codes/S17040Statistical Theory and Methodshttps://scigraph.springernature.com/ontologies/product-market-codes/S11001Statistics, generalhttps://scigraph.springernature.com/ontologies/product-market-codes/S0000XStatistics .Statistics for Social Sciences, Humanities, Law.Statistical Theory and Methods.Statistics, general.519.54Stemmler Markauthttp://id.loc.gov/vocabulary/relators/aut721626MiAaPQMiAaPQMiAaPQBOOK9910300158403321Person-centered methods1410265UNINA