Confirmatory Factor Analysis: 189 (Quantitative Applications in the Social Sciences)
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Summary
Measurement connects theoretical concepts to what is observable in the empirical world, and is fundamental to all social and behavioral research. In this volume, J. Micah Roos and Shawn Bauldry introduce a popular approach to measurement: confirmatory factor analysis, with examples in every chapter draw from national survey data. Data to replicate the examples are available on a companion website, along with code in R, Stata, and Mplus.
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Measurement connects theoretical concepts to what is observable in the empirical world, and is fundamental to all social and behavioral research. In this volume, J. Micah Roos and Shawn Bauldry introduce a popular approach to measurement: confirmatory factor analysis, with examples in every chapter draw from national survey data. Data to replicate the examples are available on a companion website, along with code in R, Stata, and Mplus.
Title: Confirmatory Factor Analysis: 189 (Quantitative Applications in the Social Sciences)
Author: Bauldry, Shawn,Roos, J. Micah
ISBN: 9781544375137
Binding:
Publisher: SAGE Publications Inc
Publication Date: 2022-03-21
Number of Pages: 144
Weight: 0.1791 kg
Confirmatory Factor Analysis is well written and easy to read, The book covers the essentials necessary for understanding and using CFA. It is appropriate for graduate students and professors new to this analysis approach. -- Jerry J. Vaske
The authors provide a masterful and fluid overview of confirmatory factor analysis that will guide readers to the best practices whether conducting their own research or evaluating the research of others. -- John Hoffmann
This is a well-written and comprehensive text. -- Michael D. Biderman
Roos and Bauldry lucidly set out foundations of confirmatory factor analysis (CFA) as applied in the assessment and construction of scales. Beginning with model specification, they discuss identification, estimation, and assessment of CFA models, before developing extensions to assessing measurement invariance and categorical (rather than quantitative) indicators. -- Peter V. Marsden
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