07086oam 2200817Ma 450 991077902630332120230320052117.01-136-66345-21-299-69326-11-136-66346-00-203-80764-210.4324/9780203807644(CKB)2550000000099339(EBL)957904(OCoLC)798531638(SSID)ssj0000679262(PQKBManifestationID)11405313(PQKBTitleCode)TC0000679262(PQKBWorkID)10609633(PQKB)11742691(Au-PeEL)EBL957904(CaPaEBR)ebr10545578(CaONFJC)MIL500577(OCoLC)787851250(FINmELB)ELB139153(OCoLC)1102388527(OCoLC-P)1102388527(FlBoTFG)9780203807644(CaSebORM)9781848728394(MiAaPQ)EBC957904(PPN)184951399(EXLCZ)99255000000009933920180201d2013 uy 0engurcnu||||||||txtccrStructural Equation Modeling with Mplus /Byrne, Barbara1st editionRoutledge,2013.1 online resource (431 p.)Multivariate applications seriesDescription based upon print version of record.1-84872-839-5 (OCoLC)298781446 0-8058-5986-1 Includes bibliographical references and indexes.Structural Equation Modeling with Mplus Basic Concepts, Applications, and Programming; Copyright; Contents; Preface; Acknowledgments; Section I: Introduction; Chapter 1 Structural Equation Models: The Basics; Basic Concepts; The General Structural Equation Model; The General Mplus Structural Equation Model; Notes; Chapter 2 Using the Mplus Program; Mplus Notation and Input File Components and Structure; The Mplus Language Generator; Model Specification From Two Perspectives; The Concept of Model Identification; Overview of Remaining Chapters; Notes; Section II: Single-Group AnalysesChapter 3 Testing the Factorial Validity of a Theoretical Construct: First-Order Confirmatory Factor Analysis ModelThe Hypothesized Model; Mplus Input File Specification and Output File Results; Hypothesis 2: Self-Concept Is a Two-Factor Structure; Mplus Input File Specification and Output File Results; Hypothesis 3: Self-Concept Is a One-Factor Structure; Notes; Chapter 4 Testing the Factorial Validity of Scores From a Measuring Instrument: First-Order Confirmatory Factor Analysis Model; The Measuring Instrument Under Study; The Hypothesized ModelMplus Input File Specification and Output File ResultsNotes; Addendum; Chapter 5 Testing the Factorial Validity of Scores From a Measuring Instrument: Second-Order Confirmatory Factor Analysis Model; The Hypothesized Model; Analysis of Categorical Data; Mplus Input File Specification and Output File Results; Notes; Chapter 6 Testing the Validity of a Causal Structure: Full Structural Equation Model; The Hypothesized Model; Mplus Input File Specification and Output File Results; Post Hoc Analyses; Notes; Section III: Multiple-Group AnalysesChapter 7 Testing the Factorial Equivalence of a Measuring Instrument: Analysis of Covariance StructuresTesting Multigroup Invariance: The General Notion; Testing Multigroup Invariance Across Independent Samples; The Hypothesized Model; Mplus Input File Specification and Output File Results; Notes; Chapter 8 Testing the Equivalence of Latent Factor Means: Analysis of Mean and Covariance Structures; Testing Latent Mean Structures: The Basic Notion; The Hypothesized Model; Testing Multigroup Invariance; Mplus Input File Specification and Output File ResultsTesting Multigroup Invariance: Other ConsiderationsNotes; Chapter 9 Testing the Equivalence of a Causal Structure: Full Structural Equation Model; Cross-Validation in Structural Equation Modeling; Testing Invariance Across Calibration and Validation Samples; The Hypothesized Model; Mplus Input File Specification and Output File Results; Notes; Section IV: Other Important Topics; Chapter 10 Testing Evidence of Construct Validity: The Multitrait-Multimethod Model; The General CFA Approach to MTMM Analyses; The Hypothesized Model; Mplus Input File Specification and Output File ResultsExamining Evidence of Construct Validity at the Matrix LevelModeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using M plus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all M plus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the M plus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and M plus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or M plus, a prerequisite of basic statistics through regression analysis is recommended.Multivariate applications book series.Structural equation modelingMultivariate analysisSocial sciencesStatistical methodsStructural equation modeling.Multivariate analysis.Social sciencesStatistical methods.519.5/3PSY032000EDU027000SOC027000bisacshByrne Barbara103042Safari, an O'Reilly Media Company.OCoLC-POCoLC-PBOOK9910779026303321Structural Equation Modeling with Mplus3755447UNINA