05350oam 2200769I 450 991045211560332120200520144314.01-136-66345-21-299-69326-11-136-66346-00-203-80764-210.4324/9780203807644 (CKB)2550000000099339(EBL)957904(OCoLC)798531638(SSID)ssj0000679262(PQKBManifestationID)11405313(PQKBTitleCode)TC0000679262(PQKBWorkID)10609633(PQKB)11742691(MiAaPQ)EBC957904(CaSebORM)9781848728394(Au-PeEL)EBL957904(CaPaEBR)ebr10545578(CaONFJC)MIL500577(OCoLC)787851250(PPN)184951399(EXLCZ)99255000000009933920180706d2012 uy 0engur|n|---|||||txtccrStructural equation modeling with Mplus basic concepts, applications, and programming /Barbara M. Byrne1st editionNew York :Routledge,2012.1 online resource (431 p.)Multivariate applications seriesDescription based upon print version of record.1-84872-839-5 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 Level"This text aims to provide readers with a nonmathematical introduction to the basic concepts associated with structural equation modeling, and to illustrate its basic applications using the Mplus program"--Provided by publisher.Multivariate applications book series.Structural equation modelingMultivariate analysisSocial sciencesStatistical methodsElectronic books.Structural equation modeling.Multivariate analysis.Social sciencesStatistical methods.519.5/3Byrne Barbara M.103042MiAaPQMiAaPQMiAaPQBOOK9910452115603321Structural equation modeling with Mplus1943108UNINA