Confirmatory factor analysis / J. Micah Roos, Shawn Bauldry.

Author/creator Roos, J. Micah
Other author Bauldry, Shawn.
Format Electronic
Publication InfoLos Angeles : SAGE, [2022]
Descriptionxvi, 122 pages : illustrations ; 22 cm
Supplemental ContentFull text available from SAGE Research Methods Core
Subjects

SeriesQuantitative applications in the social sciences ; volume 189
Quantitative applications in the social sciences ; no. 07-189. ^A5424
Contents Series editor's introduction -- Preface -- Introduction -- Model specification -- 3. Identification and estimation -- Model evaluation and respecification -- Measurement invariance -- Categorical indicators -- Conclusion -- Appendix: Reliability of scales -- Glossary.
Abstract "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."-- Publisher's description
Bibliography noteIncludes bibliographical references (pages 113-117) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2022275568
ISBN1544375131 (paperback)
ISBN9781544375137 (paperback)