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  • © 2014

Person-Centered Methods

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

Authors:

  • 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
  • Uses a different approach than standard statistics (person- instead of variable-centered approach)

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

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-viii
  2. Introducing Person-Centered Methods

    • Mark Stemmler
    Pages 1-11
  3. CFA Software

    • Mark Stemmler
    Pages 13-18
  4. Significance Testing in CFA

    • Mark Stemmler
    Pages 19-23
  5. CFA and Log-Linear Modeling

    • Mark Stemmler
    Pages 25-50
  6. Longitudinal CFA

    • Mark Stemmler
    Pages 51-56
  7. CFA and Its Derivatives

    • Mark Stemmler
    Pages 73-83
  8. Errata: Person-Centered Methods

    • Mark Stemmler
    Pages E1-E3
  9. Back Matter

    Pages 85-88

About this book

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.

Authors and Affiliations

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

    Mark Stemmler

About the author

Since 2011 Mark Stemmler is a Chair 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. In 2002, he received his postdoctoral lecture qualification (Habilitation) from the University of Erlangen-Nuremberg. From 2007 to 2011 he was a full professor for quantitative methods at the Bielefeld University, Germany. His research interests encompass developmental psychology and methodology. He has worked on longitudinal studies in the US and Germany. His research emphasis on methodology is categorical data analysis.

Bibliographic Information

Buy it now

Buying options

eBook USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access