LEADER 07198nam 2200841Ia 450 001 9910819438903321 005 20200520144314.0 010 $a1-136-66345-2 010 $a1-299-69326-1 010 $a1-136-66346-0 010 $a0-203-80764-2 024 7 $a10.4324/9780203807644 035 $a(CKB)2550000000099339 035 $a(EBL)957904 035 $a(OCoLC)798531638 035 $a(SSID)ssj0000679262 035 $a(PQKBManifestationID)11405313 035 $a(PQKBTitleCode)TC0000679262 035 $a(PQKBWorkID)10609633 035 $a(PQKB)11742691 035 $a(Au-PeEL)EBL957904 035 $a(CaPaEBR)ebr10545578 035 $a(CaONFJC)MIL500577 035 $a(OCoLC)787851250 035 $a(FINmELB)ELB139153 035 $a(OCoLC)1102388527 035 $a(OCoLC-P)1102388527 035 $a(FlBoTFG)9780203807644 035 $a(CaSebORM)9781848728394 035 $a(MiAaPQ)EBC957904 035 $a(PPN)184951399 035 $a(OCoLC)298781446 035 $a(EXLCZ)992550000000099339 100 $a20110622d2012 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStructural equation modeling with Mplus $ebasic concepts, applications, and programming /$fBarbara M. Byrne 205 $a1st edition 210 $aNew York $cRoutledge$dc2012 215 $a1 online resource (431 p.) 225 1 $aMultivariate applications series 300 $aDescription based upon print version of record. 311 $a1-84872-839-5 (OCoLC)298781446 311 $a0-8058-5986-1 320 $aIncludes bibliographical references and indexes. 327 $aStructural 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 Analyses 327 $aChapter 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 Model 327 $aMplus 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 Analyses 327 $aChapter 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 Results 327 $aTesting 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 Results 327 $aExamining Evidence of Construct Validity at the Matrix Level 330 $aModeled after Barbara Byrne's other best-selling structural equation modeling (SEM) books, this practical guide reviews the basic concepts and applications of SEM using M plus Versions 5 & 6. The author reviews SEM applications based on actual data taken from her own research. Using non-mathematical language, it is written for the novice SEM user. With each application chapter, the author "walks" the reader through all steps involved in testing the SEM model including: an explanation of the issues addressed illustrated and annotated testing of the hypothesized and post hoc models explanation and interpretation of all M plus input and output files important caveats pertinent to the SEM application under study a description of the data and reference upon which the model was based the corresponding data and syntax files available at http://www.psypress.com/sem-with-mplus/datasets . The first two chapters introduce the fundamental concepts of SEM and important basics of the M plus program. The remaining chapters focus on SEM applications and include a variety of SEM models presented within the context of three sections: Single-group analyses, Multiple-group analyses, and other important topics, the latter of which includes the multitrait-multimethod, latent growth curve, and multilevel models. Intended for researchers, practitioners, and students who use SEM and M plus, this book is an ideal resource for graduate level courses on SEM taught in psychology, education, business, and other social and health sciences and/or as a supplement for courses on applied statistics, multivariate statistics, intermediate or advanced statistics, and/or research design. Appropriate for those with limited exposure to SEM or M plus, a prerequisite of basic statistics through regression analysis is recommended. 410 0$aMultivariate applications book series. 606 $aStructural equation modeling 606 $aMultivariate analysis 606 $aSocial sciences$xStatistical methods 615 0$aStructural equation modeling. 615 0$aMultivariate analysis. 615 0$aSocial sciences$xStatistical methods. 676 $a519.5/3 686 $aPSY032000$aEDU027000$aSOC027000$2bisacsh 700 $aByrne$b Barbara M$0103042 712 02$aSafari, an O'Reilly Media Company. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910819438903321 996 $aStructural Equation Modeling with Mplus$93994728 997 $aUNINA