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The analysis of covariance and alternatives [[electronic resource] ] : statistical methods for experiments, quasi-experiments, and single-case studies / / Bradley Huitema
The analysis of covariance and alternatives [[electronic resource] ] : statistical methods for experiments, quasi-experiments, and single-case studies / / Bradley Huitema
Autore Huitema Bradley E. <1938->
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica 1 online resource (690 p.)
Disciplina 519.5/38
519.535
Collana Wiley series in probability and statistics
Soggetto topico Analysis of covariance
Regression analysis
ISBN 1-283-33209-4
9786613332097
1-118-06747-9
1-118-06746-0
1-118-06745-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Analysis of Covariance and Alternatives; Contents; Preface; PART I BASIC EXPERIMENTAL DESIGN AND ANALYSIS; 1 Review of Basic Statistical Methods; 1.1 Introduction; 1.2 Elementary Statistical Inference; 1.3 Elementary Statistical Decision Theory; 1.4 Effect Size; 1.5 Measures of Association; 1.6 A Practical Alternative to Effect Sizes and Measures of Association That Is Relevant to the Individual: p(YTx > YControl); 1.7 Generalization of Results; 1.8 Control of Nuisance Variation; 1.9 Software; 1.10 Summary; 2 Review of Simple Correlated Samples Designs and Associated Analyses
2.1 Introduction 2.2 Two-Level Correlated Samples Designs; 2.3 Software; 2.4 Summary; 3 ANOVA Basics for One-Factor Randomized Group, Randomized Block, and Repeated Measurement Designs; 3.1 Introduction; 3.2 One-Factor Randomized Group Design and Analysis; 3.3 One-Factor Randomized Block Design and Analysis; 3.4 One-Factor Repeated Measurement Design and Analysis; 3.5 Summary; PART II ESSENTIALS OF REGRESSION ANALYSIS; 4 Simple Linear Regression; 4.1 Introduction; 4.2 Comparison of Simple Regression and ANOVA; 4.3 Regression Estimation, Inference, and Interpretation
4.4 Diagnostic Methods: Is the Model Apt?4.5 Summary; 5 Essentials of Multiple Linear Regression; 5.1 Introduction; 5.2 Multiple Regression: Two-Predictor Case; 5.3 General Multiple Linear Regression: m Predictors; 5.4 Alternatives to OLS Regression; 5.5 Summary; PART III ESSENTIALS OF SIMPLE AND MULTIPLE ANCOVA; 6 One-Factor Analysis of Covariance; 6.1 Introduction; 6.2 Analysis of Covariance Model; 6.3 Computation and Rationale; 6.4 Adjusted Means; 6.5 ANCOVA Example 1: Training Effects; 6.6 Testing Homogeneity of Regression Slopes; 6.7 ANCOVA Example 2: Sexual Activity Reduces Lifespan
6.8 Software 6.9 Summary; 7 Analysis of Covariance Through Linear Regression; 7.1 Introduction; 7.2 Simple Analysis of Variance Through Linear Regression; 7.3 Analysis of Covariance Through Linear Regression; 7.4 Computation of Adjusted Means; 7.5 Similarity of ANCOVA to Part and Partial Correlation Methods; 7.6 Homogeneity of Regression Test Through General Linear Regression; 7.7 Summary; 8 Assumptions and Design Considerations; 8.1 Introduction; 8.2 Statistical Assumptions; 8.3 Design and Data Issues Related to the Interpretation of ANCOVA; 8.4 Summary
9 Multiple Comparison Tests and Confidence Intervals 9.1 Introduction; 9.2 Overview of Four Multiple Comparison Procedures; 9.3 Tests on All Pairwise Comparisons: Fisher-Hayter; 9.4 All Pairwise Simultaneous Confidence Intervals and Tests: Tukey-Kramer; 9.5 Planned Pairwise and Complex Comparisons: Bonferroni; 9.7 Ignore Multiple Comparison Procedures?; 9.8 Summary; 10 Multiple Covariance Analysis; 10.1 Introduction; 10.2 Multiple ANCOVA Through Multiple Regression; 10.3 Testing Homogeneity of Regression Planes; 10.4 Computation of Adjusted Means
10.5 Multiple Comparison Procedures for Multiple ANCOVA
Record Nr. UNINA-9910139563203321
Huitema Bradley E. <1938->  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analysis of covariance and alternatives : statistical methods for experiments, quasi-experiments, and single-case studies / / Bradley Huitema
Analysis of covariance and alternatives : statistical methods for experiments, quasi-experiments, and single-case studies / / Bradley Huitema
Autore Huitema Bradley E. <1938->
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, N.J., : Wiley, c2011
Descrizione fisica 1 online resource (690 p.)
Disciplina 519.5/38
Collana Wiley series in pobability and statistics
Soggetto topico Analysis of covariance
Regression analysis
ISBN 9786613332097
9781283332095
1283332094
9781118067475
1118067479
9781118067468
1118067460
9781118067451
1118067452
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto The Analysis of Covariance and Alternatives; Contents; Preface; PART I BASIC EXPERIMENTAL DESIGN AND ANALYSIS; 1 Review of Basic Statistical Methods; 1.1 Introduction; 1.2 Elementary Statistical Inference; 1.3 Elementary Statistical Decision Theory; 1.4 Effect Size; 1.5 Measures of Association; 1.6 A Practical Alternative to Effect Sizes and Measures of Association That Is Relevant to the Individual: p(YTx > YControl); 1.7 Generalization of Results; 1.8 Control of Nuisance Variation; 1.9 Software; 1.10 Summary; 2 Review of Simple Correlated Samples Designs and Associated Analyses
2.1 Introduction 2.2 Two-Level Correlated Samples Designs; 2.3 Software; 2.4 Summary; 3 ANOVA Basics for One-Factor Randomized Group, Randomized Block, and Repeated Measurement Designs; 3.1 Introduction; 3.2 One-Factor Randomized Group Design and Analysis; 3.3 One-Factor Randomized Block Design and Analysis; 3.4 One-Factor Repeated Measurement Design and Analysis; 3.5 Summary; PART II ESSENTIALS OF REGRESSION ANALYSIS; 4 Simple Linear Regression; 4.1 Introduction; 4.2 Comparison of Simple Regression and ANOVA; 4.3 Regression Estimation, Inference, and Interpretation
4.4 Diagnostic Methods: Is the Model Apt?4.5 Summary; 5 Essentials of Multiple Linear Regression; 5.1 Introduction; 5.2 Multiple Regression: Two-Predictor Case; 5.3 General Multiple Linear Regression: m Predictors; 5.4 Alternatives to OLS Regression; 5.5 Summary; PART III ESSENTIALS OF SIMPLE AND MULTIPLE ANCOVA; 6 One-Factor Analysis of Covariance; 6.1 Introduction; 6.2 Analysis of Covariance Model; 6.3 Computation and Rationale; 6.4 Adjusted Means; 6.5 ANCOVA Example 1: Training Effects; 6.6 Testing Homogeneity of Regression Slopes; 6.7 ANCOVA Example 2: Sexual Activity Reduces Lifespan
6.8 Software 6.9 Summary; 7 Analysis of Covariance Through Linear Regression; 7.1 Introduction; 7.2 Simple Analysis of Variance Through Linear Regression; 7.3 Analysis of Covariance Through Linear Regression; 7.4 Computation of Adjusted Means; 7.5 Similarity of ANCOVA to Part and Partial Correlation Methods; 7.6 Homogeneity of Regression Test Through General Linear Regression; 7.7 Summary; 8 Assumptions and Design Considerations; 8.1 Introduction; 8.2 Statistical Assumptions; 8.3 Design and Data Issues Related to the Interpretation of ANCOVA; 8.4 Summary
9 Multiple Comparison Tests and Confidence Intervals 9.1 Introduction; 9.2 Overview of Four Multiple Comparison Procedures; 9.3 Tests on All Pairwise Comparisons: Fisher-Hayter; 9.4 All Pairwise Simultaneous Confidence Intervals and Tests: Tukey-Kramer; 9.5 Planned Pairwise and Complex Comparisons: Bonferroni; 9.7 Ignore Multiple Comparison Procedures?; 9.8 Summary; 10 Multiple Covariance Analysis; 10.1 Introduction; 10.2 Multiple ANCOVA Through Multiple Regression; 10.3 Testing Homogeneity of Regression Planes; 10.4 Computation of Adjusted Means
10.5 Multiple Comparison Procedures for Multiple ANCOVA
Record Nr. UNINA-9910817784903321
Huitema Bradley E. <1938->  
Hoboken, N.J., : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
ANOVA and ANCOVA [[electronic resource] ] : a GLM approach / / Andrew Rutherford
ANOVA and ANCOVA [[electronic resource] ] : a GLM approach / / Andrew Rutherford
Autore Rutherford Andrew <1958->
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2011
Descrizione fisica 1 online resource (360 p.)
Disciplina 519.538
Soggetto topico Analysis of variance
Analysis of covariance
Linear models (Statistics)
ISBN 1-118-49168-8
1-283-59290-8
9786613905352
1-118-49171-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ANOVA and ANCOVA A GLM Approach; Contents; Acknowledgments; 1 An Introduction to General Linear Models: Regression, Analysis of Variance, and Analysis of Covariance; 1.1 Regression, Analysis of Variance, and Analysis of Covariance; 1.2 A Pocket History of Regression, ANOVA, and ANCOVA; 1.3 An Outline of General Linear Models (GLMs); 1.3.1 Regression; 1.3.2 Analysis of Variance; 1.3.3 Analysis of Covariance; 1.4 The ""General"" in GLM; 1.5 The ""Linear"" in GLM; 1.6 Least Squares Estimates; 1.7 Fixed, Random, and Mixed Effects Analyses; 1.8 The Benefits of a GLM Approach to ANOVA and ANCOVA
1.9 The GLM Presentation 1.10 Statistical Packages for Computers; 2 Traditional and GLM Approaches to Independent Measures Single Factor ANOVA Designs; 2.1 Independent Measures Designs; 2.2 Balanced Data Designs; 2.3 Factors and Independent Variables; 2.4 An Outline of Traditional ANOVA for Single Factor Designs; 2.5 Variance; 2.6 Traditional ANOVA Calculations for Single Factor Designs; 2.7 Confidence Intervals; 2.8 GLM Approaches to Single Factor ANOVA; 2.8.1 Experimental Design GLMs; 2.8.2 Estimating Effects by Comparing Full and Reduced Experimental Design GLMs; 2.8.3 Regression GLMs
2.8.4 Schemes for Coding Experimental Conditions 2.8.4.1 Dummy Coding; 2.8.4.2 Why Only (p - 1) Variables Are Used to Represent All Experimental Conditions?; 2.8.4.3 Effect Coding; 2.8.5 Coding Scheme Solutions to the Overparameterization Problem; 2.8.6 Cell Mean GLMs; 2.8.7 Experimental Design Regression and Cell Mean GLMs; 3 Comparing Experimental Condition Means, Multiple Hypothesis Testing, Type 1 Error, and a Basic Data Analysis Strategy; 3.1 Introduction; 3.2 Comparisons Between Experimental Condition Means; 3.3 Linear Contrasts; 3.4 Comparison Sum of Squares; 3.5 Orthogonal Contrasts
3.6 Testing Multiple Hypotheses 3.6.1 Type 1 and Type 2 Errors; 3.6.2 Type 1 Error Rate Inflation with Multiple Hypothesis Testing; 3.6.3 Type 1 Error Rate Control and Analysis Power; 3.6.4 Different Conceptions of Type 1 Error Rate; 3.6.4.1 Test wise Type 1 Error Rate; 3.6.4.2 Family wise Type 1 Error Rate; 3.6.4.3 Experiment wise Type 1 Error Rate; 3.6.4.4 False Discovery Rate; 3.6.5 Identifying the ""Family"" in Family wise Type 1 Error Rate Control; 3.6.6 Logical and Empirical Relations; 3.6.6.1 Logical Relations; 3.6.6.2 Empirical Relations; 3.7 Planned and Unplanned Comparisons
3.7.1 Direct Assessment of Planned Comparisons 3.7.2 Contradictory Results with ANOVA Omnibus F-tests and Direct Planned Comparisons; 3.8 A Basic Data Analysis Strategy; 3.8.1 ANOVA First?; 3.8.2 Strong and Weak Type 1 Error Control; 3.8.3 Step wise Tests; 3.8.4 Test Power; 3.9 The Three Basic Stages of Data Analysis; 3.9.1 Stage 1; 3.9.2 Stage 2; 3.9.2.1 Rom's Test; 3.9.2.2 Shaffer's R Test; 3.9.2.3 Applying Shaffer's R Test After a Significant F-test; 3.9.3 Stage 3; 3.10 The Role of the Omnibus F-Test; 4 Measures of Effect Size and Strength of Association, Power, and Sample Size
4.1 Introduction
Record Nr. UNINA-9910141423003321
Rutherford Andrew <1958->  
Hoboken, NJ, : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
ANOVA and ANCOVA : a GLM approach / / Andrew Rutherford
ANOVA and ANCOVA : a GLM approach / / Andrew Rutherford
Autore Rutherford Andrew <1958->
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, NJ, : Wiley, c2011
Descrizione fisica 1 online resource (360 p.)
Disciplina 519.538
Soggetto topico Analysis of variance
Analysis of covariance
Linear models (Statistics)
ISBN 1-118-49168-8
1-283-59290-8
9786613905352
1-118-49171-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ANOVA and ANCOVA A GLM Approach; Contents; Acknowledgments; 1 An Introduction to General Linear Models: Regression, Analysis of Variance, and Analysis of Covariance; 1.1 Regression, Analysis of Variance, and Analysis of Covariance; 1.2 A Pocket History of Regression, ANOVA, and ANCOVA; 1.3 An Outline of General Linear Models (GLMs); 1.3.1 Regression; 1.3.2 Analysis of Variance; 1.3.3 Analysis of Covariance; 1.4 The ""General"" in GLM; 1.5 The ""Linear"" in GLM; 1.6 Least Squares Estimates; 1.7 Fixed, Random, and Mixed Effects Analyses; 1.8 The Benefits of a GLM Approach to ANOVA and ANCOVA
1.9 The GLM Presentation 1.10 Statistical Packages for Computers; 2 Traditional and GLM Approaches to Independent Measures Single Factor ANOVA Designs; 2.1 Independent Measures Designs; 2.2 Balanced Data Designs; 2.3 Factors and Independent Variables; 2.4 An Outline of Traditional ANOVA for Single Factor Designs; 2.5 Variance; 2.6 Traditional ANOVA Calculations for Single Factor Designs; 2.7 Confidence Intervals; 2.8 GLM Approaches to Single Factor ANOVA; 2.8.1 Experimental Design GLMs; 2.8.2 Estimating Effects by Comparing Full and Reduced Experimental Design GLMs; 2.8.3 Regression GLMs
2.8.4 Schemes for Coding Experimental Conditions 2.8.4.1 Dummy Coding; 2.8.4.2 Why Only (p - 1) Variables Are Used to Represent All Experimental Conditions?; 2.8.4.3 Effect Coding; 2.8.5 Coding Scheme Solutions to the Overparameterization Problem; 2.8.6 Cell Mean GLMs; 2.8.7 Experimental Design Regression and Cell Mean GLMs; 3 Comparing Experimental Condition Means, Multiple Hypothesis Testing, Type 1 Error, and a Basic Data Analysis Strategy; 3.1 Introduction; 3.2 Comparisons Between Experimental Condition Means; 3.3 Linear Contrasts; 3.4 Comparison Sum of Squares; 3.5 Orthogonal Contrasts
3.6 Testing Multiple Hypotheses 3.6.1 Type 1 and Type 2 Errors; 3.6.2 Type 1 Error Rate Inflation with Multiple Hypothesis Testing; 3.6.3 Type 1 Error Rate Control and Analysis Power; 3.6.4 Different Conceptions of Type 1 Error Rate; 3.6.4.1 Test wise Type 1 Error Rate; 3.6.4.2 Family wise Type 1 Error Rate; 3.6.4.3 Experiment wise Type 1 Error Rate; 3.6.4.4 False Discovery Rate; 3.6.5 Identifying the ""Family"" in Family wise Type 1 Error Rate Control; 3.6.6 Logical and Empirical Relations; 3.6.6.1 Logical Relations; 3.6.6.2 Empirical Relations; 3.7 Planned and Unplanned Comparisons
3.7.1 Direct Assessment of Planned Comparisons 3.7.2 Contradictory Results with ANOVA Omnibus F-tests and Direct Planned Comparisons; 3.8 A Basic Data Analysis Strategy; 3.8.1 ANOVA First?; 3.8.2 Strong and Weak Type 1 Error Control; 3.8.3 Step wise Tests; 3.8.4 Test Power; 3.9 The Three Basic Stages of Data Analysis; 3.9.1 Stage 1; 3.9.2 Stage 2; 3.9.2.1 Rom's Test; 3.9.2.2 Shaffer's R Test; 3.9.2.3 Applying Shaffer's R Test After a Significant F-test; 3.9.3 Stage 3; 3.10 The Role of the Omnibus F-Test; 4 Measures of Effect Size and Strength of Association, Power, and Sample Size
4.1 Introduction
Altri titoli varianti Analysis of variance and analysis of covariance : a general linear model approach
Record Nr. UNINA-9910826581903321
Rutherford Andrew <1958->  
Hoboken, NJ, : Wiley, c2011
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The covariance analysis for dependent data / F. Baldessari Gallo
The covariance analysis for dependent data / F. Baldessari Gallo
Autore Baldessari Gallo, F.
Pubbl/distr/stampa Roma : Ist. Calcolo delle probabilità Univ. Roma. Fac. Scienze statistiche, demografiche ed attuariali, 1967
Descrizione fisica 8 p. ; 24 cm.
Disciplina 519.5352
Collana Pubblicazioni dell'Istituto di Calcolo delle probabilità dell'Università di Roma ; 67
Soggetto topico Analysis of covariance
Classificazione AMS 62J10
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISALENTO-991000799449707536
Baldessari Gallo, F.  
Roma : Ist. Calcolo delle probabilità Univ. Roma. Fac. Scienze statistiche, demografiche ed attuariali, 1967
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Covariances for estimated totals when comparing between years / / by Judy A. Bean and Keith L. Hoffman
Covariances for estimated totals when comparing between years / / by Judy A. Bean and Keith L. Hoffman
Autore Bean Judy A.
Pubbl/distr/stampa Hyattsville, Maryland : , : U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, , 1992
Descrizione fisica 1 online resource (iv, 25 pages)
Collana Vital and health statistics. Series 2, Data evaluation and methods research
DHHS publication
Soggetto topico Medical care - Utilization - United States
Analysis of covariance
Evaluation
Medical care - Utilization
Soggetto genere / forma Statistics.
Medical statistics.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910712969103321
Bean Judy A.  
Hyattsville, Maryland : , : U.S. Department of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics, , 1992
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
An empirical investigation of the effect of the heteroscedasticity and heterogeneity variance on the analysis of covariance and the Johnson-Neyman technique / / Joyce Lee Shields
An empirical investigation of the effect of the heteroscedasticity and heterogeneity variance on the analysis of covariance and the Johnson-Neyman technique / / Joyce Lee Shields
Autore Shields Joyce L.
Pubbl/distr/stampa Alexandria, VA : , : U. S. Army Research Institute for the Behavioral and Social Sciences, , July 1978
Descrizione fisica 1 online resource (6 unnumbered pages, 34 pages) : illustration
Collana Technical paper
Soggetto topico Psychometrics
Monte Carlo method
Analysis of covariance
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910704114803321
Shields Joyce L.  
Alexandria, VA : , : U. S. Army Research Institute for the Behavioral and Social Sciences, , July 1978
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A First Course in Structural Equation Modeling [[electronic resource]]
A First Course in Structural Equation Modeling [[electronic resource]]
Autore Raykov Tenko
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, : Taylor and Francis, 2012
Descrizione fisica 1 online resource (249 p.)
Disciplina 300.15195
519.535
Altri autori (Persone) MarcoulidesGeorge A
Soggetto topico Analysis of covariance
Linear models (Statistics)
Multilevel models (Statistics)
Social sciences - Statistical methods
Social sciences -- Statistical methods
Statistics
Structural equation modeling
Mathematics
Physical Sciences & Mathematics
Mathematical Statistics
Soggetto genere / forma Electronic books.
ISBN 1-135-60076-7
1-281-07603-1
1-135-10923-0
9786611076030
0-203-93068-1
1-4294-6298-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; A First Course in Structural Equation Modeling; Copyright; Contents; Preface to the Second Edition; CHAPTER ONE Fundamentals of StructuralEquation Modeling; WHAT IS STRUCTURAL EQUATION MODELING?; PATH DIAGRAMS; RULES FOR DETERMINING MODEL PARAMETERS; PARAMETER ESTIMATION; PARAMETER AND MODEL IDENTIFICATION; MODEL-TESTING AND -FIT EVALUATION; APPENDIX TO CHAPTER 1; CHAPTER TWO Getting to Know the EQS,LISREL, and Mplus Programs; STRUCTURE OF INPUT FILES FOR SEM SOFTWARE; INTRODUCTION TO THE EQS NOTATION AND SYNTAX; INTRODUCTION TO THE LISREL NOTATION AND SYNTAX
INTRODUCTION TO THE Mplus NOTATION AND SYNTAXCHAPTER THREE Path Analysis; WHAT IS PATH ANALYSIS?; EXAMPLE PATH ANALYSIS MODEL; EQS, LISREL, AND Mplus INPUT FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS IN SEM; MODEL MODIFICATIONS; APPENDIX TO CHAPTER 3; CHAPTER FOUR Confirmatory Factor Analysis; WHAT IS FACTOR ANALYSIS?; AN EXAMPLE CONFIRMATORY FACTOR ANALYSIS MODEL; EQS, LISREL, and Mplus COMMAND FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS: TRUE SCORE EQUIVALENCE; APPENDIX TO CHAPTER 4; CHAPTER FIVE Structural Regression Models; WHAT IS A STRUCTURAL REGRESSION MODEL?
AN EXAMPLE STRUCTURAL REGRESSION MODELEQS, LISREL, AND Mplus COMMAND FILES; MODELING RESULTS; FACTORIAL INVARIANCE ACROSS TIME IN REPEATED MEASURE STUDIES; APPENDIX TO CHAPTER 5; CHAPTER SIX Latent Change Analysis; WHAT IS LATENT CHANGE ANALYSIS?; ONE-FACTOR LATENT CHANGE ANALYSIS MODEL; EQS, LISREL, AND Mplus COMMAND FILES FOR A ONE-FACTOR LCA MODEL; MODELING RESULTS, ONE-FACTOR LCA MODEL; LEVEL AND SHAPE MODEL; EQS, LISREL, AND Mplus COMMAND FILES, LEVEL AND SHAPE MODEL; MODELING RESULTS FOR THE LEVEL AND SHAPE MODEL; STUDYING CORRELATES AND PREDICTORS OF LATENT CHANGE
APPENDIX TO CHAPTER 6Epilogue; References; Author Index; Subject Index
Record Nr. UNINA-9910452308603321
Raykov Tenko  
Hoboken, : Taylor and Francis, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A First Course in Structural Equation Modeling [[electronic resource]]
A First Course in Structural Equation Modeling [[electronic resource]]
Autore Raykov Tenko
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, : Taylor and Francis, 2012
Descrizione fisica 1 online resource (249 p.)
Disciplina 300.15195
519.535
Altri autori (Persone) MarcoulidesGeorge A
Soggetto topico Analysis of covariance
Linear models (Statistics)
Multilevel models (Statistics)
Social sciences - Statistical methods
Social sciences -- Statistical methods
Statistics
Structural equation modeling
Mathematics
Physical Sciences & Mathematics
Mathematical Statistics
ISBN 1-135-60076-7
1-281-07603-1
1-135-10923-0
9786611076030
0-203-93068-1
1-4294-6298-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; A First Course in Structural Equation Modeling; Copyright; Contents; Preface to the Second Edition; CHAPTER ONE Fundamentals of StructuralEquation Modeling; WHAT IS STRUCTURAL EQUATION MODELING?; PATH DIAGRAMS; RULES FOR DETERMINING MODEL PARAMETERS; PARAMETER ESTIMATION; PARAMETER AND MODEL IDENTIFICATION; MODEL-TESTING AND -FIT EVALUATION; APPENDIX TO CHAPTER 1; CHAPTER TWO Getting to Know the EQS,LISREL, and Mplus Programs; STRUCTURE OF INPUT FILES FOR SEM SOFTWARE; INTRODUCTION TO THE EQS NOTATION AND SYNTAX; INTRODUCTION TO THE LISREL NOTATION AND SYNTAX
INTRODUCTION TO THE Mplus NOTATION AND SYNTAXCHAPTER THREE Path Analysis; WHAT IS PATH ANALYSIS?; EXAMPLE PATH ANALYSIS MODEL; EQS, LISREL, AND Mplus INPUT FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS IN SEM; MODEL MODIFICATIONS; APPENDIX TO CHAPTER 3; CHAPTER FOUR Confirmatory Factor Analysis; WHAT IS FACTOR ANALYSIS?; AN EXAMPLE CONFIRMATORY FACTOR ANALYSIS MODEL; EQS, LISREL, and Mplus COMMAND FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS: TRUE SCORE EQUIVALENCE; APPENDIX TO CHAPTER 4; CHAPTER FIVE Structural Regression Models; WHAT IS A STRUCTURAL REGRESSION MODEL?
AN EXAMPLE STRUCTURAL REGRESSION MODELEQS, LISREL, AND Mplus COMMAND FILES; MODELING RESULTS; FACTORIAL INVARIANCE ACROSS TIME IN REPEATED MEASURE STUDIES; APPENDIX TO CHAPTER 5; CHAPTER SIX Latent Change Analysis; WHAT IS LATENT CHANGE ANALYSIS?; ONE-FACTOR LATENT CHANGE ANALYSIS MODEL; EQS, LISREL, AND Mplus COMMAND FILES FOR A ONE-FACTOR LCA MODEL; MODELING RESULTS, ONE-FACTOR LCA MODEL; LEVEL AND SHAPE MODEL; EQS, LISREL, AND Mplus COMMAND FILES, LEVEL AND SHAPE MODEL; MODELING RESULTS FOR THE LEVEL AND SHAPE MODEL; STUDYING CORRELATES AND PREDICTORS OF LATENT CHANGE
APPENDIX TO CHAPTER 6Epilogue; References; Author Index; Subject Index
Record Nr. UNINA-9910777834603321
Raykov Tenko  
Hoboken, : Taylor and Francis, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
A First Course in Structural Equation Modeling [[electronic resource]]
A First Course in Structural Equation Modeling [[electronic resource]]
Autore Raykov Tenko
Edizione [2nd ed.]
Pubbl/distr/stampa Hoboken, : Taylor and Francis, 2012
Descrizione fisica 1 online resource (249 p.)
Disciplina 300.15195
519.535
Altri autori (Persone) MarcoulidesGeorge A
Soggetto topico Analysis of covariance
Linear models (Statistics)
Multilevel models (Statistics)
Social sciences - Statistical methods
Social sciences -- Statistical methods
Statistics
Structural equation modeling
Mathematics
Physical Sciences & Mathematics
Mathematical Statistics
ISBN 1-135-60076-7
1-281-07603-1
1-135-10923-0
9786611076030
0-203-93068-1
1-4294-6298-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; A First Course in Structural Equation Modeling; Copyright; Contents; Preface to the Second Edition; CHAPTER ONE Fundamentals of StructuralEquation Modeling; WHAT IS STRUCTURAL EQUATION MODELING?; PATH DIAGRAMS; RULES FOR DETERMINING MODEL PARAMETERS; PARAMETER ESTIMATION; PARAMETER AND MODEL IDENTIFICATION; MODEL-TESTING AND -FIT EVALUATION; APPENDIX TO CHAPTER 1; CHAPTER TWO Getting to Know the EQS,LISREL, and Mplus Programs; STRUCTURE OF INPUT FILES FOR SEM SOFTWARE; INTRODUCTION TO THE EQS NOTATION AND SYNTAX; INTRODUCTION TO THE LISREL NOTATION AND SYNTAX
INTRODUCTION TO THE Mplus NOTATION AND SYNTAXCHAPTER THREE Path Analysis; WHAT IS PATH ANALYSIS?; EXAMPLE PATH ANALYSIS MODEL; EQS, LISREL, AND Mplus INPUT FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS IN SEM; MODEL MODIFICATIONS; APPENDIX TO CHAPTER 3; CHAPTER FOUR Confirmatory Factor Analysis; WHAT IS FACTOR ANALYSIS?; AN EXAMPLE CONFIRMATORY FACTOR ANALYSIS MODEL; EQS, LISREL, and Mplus COMMAND FILES; MODELING RESULTS; TESTING MODEL RESTRICTIONS: TRUE SCORE EQUIVALENCE; APPENDIX TO CHAPTER 4; CHAPTER FIVE Structural Regression Models; WHAT IS A STRUCTURAL REGRESSION MODEL?
AN EXAMPLE STRUCTURAL REGRESSION MODELEQS, LISREL, AND Mplus COMMAND FILES; MODELING RESULTS; FACTORIAL INVARIANCE ACROSS TIME IN REPEATED MEASURE STUDIES; APPENDIX TO CHAPTER 5; CHAPTER SIX Latent Change Analysis; WHAT IS LATENT CHANGE ANALYSIS?; ONE-FACTOR LATENT CHANGE ANALYSIS MODEL; EQS, LISREL, AND Mplus COMMAND FILES FOR A ONE-FACTOR LCA MODEL; MODELING RESULTS, ONE-FACTOR LCA MODEL; LEVEL AND SHAPE MODEL; EQS, LISREL, AND Mplus COMMAND FILES, LEVEL AND SHAPE MODEL; MODELING RESULTS FOR THE LEVEL AND SHAPE MODEL; STUDYING CORRELATES AND PREDICTORS OF LATENT CHANGE
APPENDIX TO CHAPTER 6Epilogue; References; Author Index; Subject Index
Record Nr. UNINA-9910799951203321
Raykov Tenko  
Hoboken, : Taylor and Francis, 2012
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