Configural Frequency Analysis: Foundations, Models, and Applications

This book provides a comprehensive and detailed coverage of configural frequency analysis (CFA), a method of analysis of categorical data in person-oriented research. It presents the foundations, methods, and models of CFA and features numerous empirical data examples from a range of disciplines. It also addresses computer applications, including relevant R packages and modules. CFA is a statistical method that allows for testing numerous substantive hypotheses and is particularly useful for researchers and students in the social and behavioral sciences.

Format: Paperback / softback
Length: 393 pages
Publication date: 05 January 2023
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

This groundbreaking book offers an in-depth exploration of configural frequency analysis (CFA), a highly effective approach to analyzing categorical data in person-oriented research. It provides a comprehensive framework for understanding the foundations, methodologies, and models of CFA, accompanied by numerous empirical data examples across diverse disciplines that readers can replicate. Moreover, it delves into computer applications, encompassing relevant R packages and modules, making it a valuable resource for both researchers and practitioners.

Configural frequency analysis (CFA) emerges as a distinct statistical method, diverging from the conventional perspective of examining relationships among variables. Instead, CFA centers its attention on identifying patterns of variable categories that exhibit significant relevance to specific hypotheses. This unique approach empowers researchers to test an extensive range of substantive hypotheses.

The book traces the origins of CFA and elucidates its connection to chi-square analysis, as well as the subsequent developments rooted in log-linear modeling. It encompasses a diverse range of models, from simple models emphasizing variable independence to intricate models required for testing causal hypotheses. Each model is accompanied by empirical data examples, providing readers with a practical understanding of the application of CFA.

Furthermore, the book introduces new models specifically tailored for person-oriented mediation analysis and locally optimized time series analysis. These models expand the scope of CFA applications, enabling researchers to explore complex relationships and phenomena from a person-centered perspective. To reinforce the reliability of CFA methods, extensive Monte Carlo simulations are employed, providing robust evidence to support the findings and conclusions presented.

Primarily designed for researchers and students in the social and behavioral sciences, this book also appeals to professionals engaged in analyzing categorical data with a person-centered approach. Its comprehensive coverage, practical examples, and extensive references make it an invaluable resource for advancing knowledge in this field.

Weight: 617g
Dimension: 235 x 155 (mm)
ISBN-13: 9783662640104
Edition number: 1st ed. 2021