Person-centered methods [Documento eletrónico] : configural frequency analysis (CFA) and other methods for the analysis of contingency tables / Mark Stemmler
Language: eng.Country: Germany.Publication: Cham : Springer International Publishing, 2014Description: VIII, 88 p. : il.ISBN: 978-3-319-05536-7.Series: SpringerBriefs in StatisticsSubject - Topical Name: Distribuição (Teoria das probabilidades) | Ciências sociais, Métodos estatísticos Online Resources:Click here to access onlineItem type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
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QA273.SPR FCT 81824 Séminaire de probabilités XLV | QA273.SPR FCT 81942 Superconcentration and related topics | QA273.SPR FCT 81970 Janus-faced probability | QA273.SPR FCT 81991 Person-centered methods, configural frequency analysis (CFA) and other methods for the analysis of contingency tables | QA273.SPR FCT 82006 Renewal processes | QA273.SPR FCT 82051 Problems from the discrete to the continuous, probability, number theory, graph theory, and combinatorics | QA273.SPR FCT 82104 The mathematics of elections and voting |
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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.
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