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[null,"1.","Record Nr.",null,"UNINA9910705813703321"]
[null,null,"Autore",null,"Streufert Siegfried"]
[null,null,"Titolo",null,"Aspects of cognitive complexity theory and research as applied to a managerial decision making simulation / / Siegfried Streufert and Robert W. Swezey"]
[null,null,"Pubbl/distr/stampa",null,"Alexandria, Virginia : , : U.S. Army Research Institute for the Behavioral and Social Science, , September 1985"]
[null,null,"Descrizione fisica",null,"1 online resource (126 unnumbered pages) : illustrations"]
[null,null,"Collana",null,"Research note ; ; 85-96"]
[null,null,"Soggetti",null,"Decision making - United States"]
[{"$nulls":4},"Measurement - United States"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","\"September 1985.\""]
[{"$nulls":4},"\"Performing organization: Behavioral Sciences Research Center, Science Application, Inc.\"--Report documentation page."]
[{"$nulls":4},"\"John Mietus, contracting officer's representative\"--Report documentation page."]
[{"$nulls":4},"\"SAI-82-03-178\"--Report documentation page."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (pages [113-126])."]
[null,"2.","Record Nr.",null,"UNINA9910957887703321"]
[null,null,"Autore",null,"Byrne Barbara M"]
[null,null,"Titolo",null,"Structural equation modeling with Mplus : basic concepts, applications, and programming / / Barbara M. Byrne"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Routledge, c2012"]
[null,null,"ISBN",null,"1-136-66345-2"]
[{"$nulls":4},"1-299-69326-1"]
[{"$nulls":4},"1-136-66346-0"]
[{"$nulls":4},"0-203-80764-2"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (431 p.)"]
[null,null,"Collana",null,"Multivariate applications series"]
[null,null,"Classificazione",null,"PSY032000EDU027000SOC027000"]
[null,null,"Disciplina",null,"519.5/3"]
[null,null,"Soggetti",null,"Structural equation modeling"]
[{"$nulls":4},"Multivariate analysis"]
[{"$nulls":4},"Social sciences - Statistical methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and indexes."]
[null,null,"Nota di contenuto",null,"Structural Equation Modeling with Mplus Basic Concepts, Applications, and Programming; Copyright; Contents; Preface; Acknowledgments; Section I: Introduction; Chapter 1 Structural Equation Models: The Basics; Basic Concepts; The General Structural Equation Model; The General Mplus Structural Equation Model; Notes; Chapter 2 Using the Mplus Program; Mplus Notation and Input File Components and Structure; The Mplus Language Generator; Model Specification From Two Perspectives; The Concept of Model Identification; Overview of Remaining Chapters; Notes; Section II: Single-Group Analyses"]
[{"$nulls":4},"Chapter 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"]
[{"$nulls":4},"Mplus Input File Specification and Output File ResultsNotes; Addendum; Chapter 5 Testing the Factorial Validity of Scores From a Measuring Instrument: Second-Order Confirmatory Factor Analysis Model; The "]
[{"$nulls":4},"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"]
[{"$nulls":4},"Chapter 7 Testing the Factorial Equivalence of a Measuring Instrument: Analysis of Covariance StructuresTesting Multigroup Invariance: The General Notion; Testing Multigroup Invariance Across Independent Samples; The Hypothesized Model; Mplus Input File Specification and Output File Results; Notes; Chapter 8 Testing the Equivalence of Latent Factor Means: Analysis of Mean and Covariance Structures; Testing Latent Mean Structures: The Basic Notion; The Hypothesized Model; Testing Multigroup Invariance; Mplus Input File Specification and Output File Results"]
[{"$nulls":4},"Testing 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"]
[{"$nulls":4},"Examining Evidence of Construct Validity at the Matrix Level"]
[null,null,null,"Sommario/riassunto","Modeled 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."]