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Person-Centered Methods - Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables (Paperback, 2nd ed. 2020)
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Person-Centered Methods - Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables (Paperback, 2nd ed. 2020)
Series: SpringerBriefs in Statistics
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This book offers a comprehensible overview of 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. This second
edition explores the relationship between two statistical methods:
log-linear modeling (LLM) and configural frequency analysis (CFA).
Both methods compare expected frequencies with observed
frequencies. However, while LLM searches for the underlying
dependencies of the involved variables in the data (model-fitting),
CFA examines significant residuals in non-fitting models. New
developments in the second edition include: Configural Mediation
Models, CFA with covariates, moderator CFA, and CFA modeling
branches in tree-based methods. The new developments enable the use
of categorical together with continuous variables, which makes CFA
a very powerful statistical tool. This new edition continues to
utilize R-package confreq (derived from Configural Frequency
Analysis), much updated since the first edition and newly adjusted
to the new R base program 4.0. An electronic supplement is now
available with 18 R-scripts and many datasets.
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