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  • © 2020

Person-Centered Methods

Configural Frequency Analysis (CFA) and Other Methods for the Analysis of Contingency Tables

Authors:

  • Features an electronic supplement with 18 R-scripts and many datasets, so that readers can familiarize themselvs with R package confreq
  • Teaches statistical methods in an approachable format for scholars in the Social Sciences
  • Includes software demonstrations with open source software package R that is available through CRAN
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Statistics (BRIEFSSTATIST)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-x
  2. Introducing Person-Centered Methods

    • Mark Stemmler
    Pages 1-14
  3. CFA Software

    • Mark Stemmler
    Pages 15-24
  4. Significance Testing in CFA

    • Mark Stemmler
    Pages 25-30
  5. CFA and Log-Linear Modeling

    • Mark Stemmler
    Pages 31-59
  6. Longitudinal CFA

    • Mark Stemmler
    Pages 61-66
  7. CFA and Its Derivatives

    • Mark Stemmler
    Pages 89-110
  8. Back Matter

    Pages 111-116

About this book

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.

Authors and Affiliations

  • Institute of Psychology, Friedrich-Alexander University of Erlangen-Nuremberg (FAU), Erlangen, Germany

    Mark Stemmler

About the author

Mark Stemmler is a Full Professor of Psychological Assessment, Quantitative Methods and Forensic Psychology at the Institute of Psychology at the University of Erlangen-Nuremberg, Germany. He received his master’s degree from the Technical University Berlin in 1989 and his PhD from the Pennsylvania State University in 1993. His recent publications include Deviance and Delinquency in Childhood and Adolescence: New Approaches in Criminological Research (with S. Wallner, M. Weiss, and J. Reinecke, 2018 Springer), Assessment of Dementia (with J. Kornhuber, 2018), and Dependent Data in Social Sciences Research: Forms, Issues, and Methods of Analysis (with A. von Eye and W. Wiedermann, 2015 Springer). His research interests encompass developmental psychology, evaluation research, psychological assessment and methodology, specifically categorical data analysis. He has worked on longitudinal studies in the US and Germany.

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access