You are in: Middle East
Change location

You are here

Book > Textbooks > Quantitative Methods

Disable VAT on Taiwan

Unfortunately, as of 1 January 2020 SAGE Ltd is no longer able to support sales of electronically supplied services to Taiwan customers that are not Taiwan VAT registered. We apologise for any inconvenience. For more information or to place a print-only order, please contact uk.customerservices@sagepub.co.uk.

Confirmatory Factor Analysis
Share
Share

Confirmatory Factor Analysis

Volume: 189
March 2022 | 144 pages | SAGE Publications, Inc
Download flyer
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 (CFA). As the authors explain, CFA is a theoretically informed statistical framework for linking multiple observed variables to latent variables that are not directly measurable. The authors begin by defining terms, introducing notation, and illustrating a wide variety of measurement models with different relationships between latent and observed variables. They proceed to a thorough treatment of model estimation, followed by a discussion of model fit.  Most of the volume focuses on measures that approximate continuous variables, but the authors also devote a chapter to categorical indicators. Each chapter develops a different example (sometimes two) covering topics as diverse as racist attitudes, theological conservatism, leadership qualities, psychological distress, self-efficacy, beliefs about democracy, and Christian nationalism drawn mainly from national surveys. Data to replicate the examples are available on a companion website at https://study.sagepub.com/researchmethods/qass/roos-confirmatory-factor-analysis, along with code for R, Stata, and Mplus.
 
Chapter 1: Introduction
 
Chapter 2: Model Specification
 
Chapter 3: Identification and Estimation
 
Chapter 4: Model Evaluation and Respecification
 
Chapter 5: Measurement Invariance
 
Chapter 6: Categorical Indicators
 
Chapter 7: Conclusion
 
Appendix: Reliability of Scales
 
Glossary
 
Bibliography

Supplements

Student Study Site

Example code as well as data (variously in R using lava, Stata, and Mplus) is provided by chapter.

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
Colorado State University

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
Brigham Young University

This is a well-written and comprehensive text.

Michael D. Biderman
University of Tennessee at Chattanooga

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
Harvard University

This is an important text to support the validation of surveys

Professor Melanie Taverna
Periodontics Dept, Univ Of Texas Hlth Sci Center
April 1, 2024
Report this review

For instructors

Select a Purchasing Option

Related Products

Exploratory Factor Analysis
Exploratory Factor Analysis
Ordinal Item Response Theory
Ordinal Item Response Theory
Show More Show Less
SAGE Research Methods Promotion

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.

With SAGE Research Methods, researchers can explore their chosen method across the depth and breadth of content, expanding or refining their search as needed; read online, print, or email full-text content; utilize suggested related methods and links to related authors from SAGE Research Methods' robust library and unique features; and even share their own collections of content through Methods Lists. SAGE Research Methods contains content from over 720 books, dictionaries, encyclopedias, and handbooks, the entire “Little Green Book,” and "Little Blue Book” series, two Major Works collating a selection of journal articles, and specially commissioned videos.

Find out more