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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 |
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-9910817784903321 |
Huitema Bradley E. <1938->
![]() |
||
Hoboken, N.J., : Wiley, c2011 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. del Salento | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|