About this product

Product Identifiers

PublisherSAGE Publications, Incorporated

ISBN-101544375131

ISBN-139781544375137

eBay Product ID (ePID)8050407152

Product Key Features

Number of Pages144 Pages

LanguageEnglish

Publication NameConfirmatory Factor Analysis

SubjectMethodology, Probability & Statistics / General, Statistics

Publication Year2021

TypeTextbook

Subject AreaMathematics, Social Science

AuthorJ. Micah Roos, Shawn Bauldry

SeriesQuantitative Applications in the Social Sciences Ser.

FormatTrade Paperback

Dimensions

Item Height0.4 in

Item Weight6 Oz

Item Length8.5 in

Item Width5.5 in

Additional Product Features

Intended AudienceCollege Audience

LCCN2022-275568

ReviewsConfirmatory 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, Confirmatory Factor Analysisis 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.

Dewey Edition23

IllustratedYes

Dewey Decimal300.15195354

Table Of ContentChapter 1: IntroductionChapter 2: Model SpecificationChapter 3: Identification and EstimationChapter 4: Model Evaluation and RespecificationChapter 5: Measurement InvarianceChapter 6: Categorical IndicatorsChapter 7: ConclusionAppendix: Reliability of ScalesGlossaryBibliography

SynopsisMeasurement 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, along with code for R, Stata, and Mplus., 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.

LC Classification NumberHA29