Langbeschreibung
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.
Inhaltsverzeichnis
1. Introducing Person-Centered Methods.- 2. CFA Software.- 3. Significance Testing in CFA.- 4. CFA and Log-Linear Modeling.- 5. Longitudinal CFA.- 6. Other Person-Centered Methods Serving as Complimentary Tools for CFA.- 7. CFA and its Derivatives.- Glossary.- Index.