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[null,"1.","Record Nr.",null,"UNINA9910811861203321"]
[null,null,"Autore",null,"Cheung Mike W. L."]
[null,null,"Titolo",null,"Meta-analysis : a structural equation modeling approach / / Mike W. L. Cheung"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, England ; ; West Sussex, England : , : Wiley, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"ISBN",null,"1-118-95782-2"]
[{"$nulls":4},"1-118-95783-0"]
[null,null,"Edizione",null,"[1st edition]"]
[null,null,"Descrizione fisica",null,"1 online resource (403 p.)"]
[null,null,"Disciplina",null,"001.4/22"]
[null,null,"Soggetti",null,"Statistics"]
[{"$nulls":4},"Meta-analysis"]
[{"$nulls":4},"Research - Statistical methods"]
[{"$nulls":4},"Sampling (Statistics)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references at the end of each chapters and index."]
[null,null,"Nota di contenuto",null,"\"\"Cover            \"\"; \"\"Title Page                 \"\"; \"\"Copyright                \"\"; \"\"Contents               \"\"; \"\"Preface              \"\"; \"\"Acknowledgments                      \"\"; \"\"List of abbreviations                            \"\"; \"\"List of figures                      \"\"; \"\"List of tables                     \"\"; \"\"Chapter 1 Introduction                             \"\"; \"\"1.1 What is meta-analysis?                                 \"\"; \"\"1.2 What is structural equation modeling?                                                \"\""]
[{"$nulls":4},"\"\"1.3 Reasons for writing a book on meta-analysis and structural equation modeling                                                                                       \"\"\"\"1.3.1 Benefits to users of structural equation modeling and meta-analysis                                                                                \"\"; \"\"1.4 Outline of the following chapters                                            \"\"; \"\"1.4.1 Computer examples and data sets used in this book                                                              \"\""]
[{"$nulls":4},"\"\"1.5 Concluding remarks and further readings                                                  \"\"\"\"References                 \"\"; \"\"Chapter 2 Brief review of structural equation modeling                                                             \"\"; \"\"2.1 Introduction                       \"\"; \"\"2.2 Model specification                              \"\"; \"\"2.2.1 Equations                      \"\"; \"\"2.2.2 Path diagram                         \"\"; \"\"2.2.3 Matrix representation                                  \"\"; \"\"2.3 Common structural equation models                                            \"\""]
[{"$nulls":4},"\"\"2.3.1 Path analysis                          \"\"\"\"2.3.2 Confirmatory factor analysis                                         \"\"; \"\"2.3.3 Structural equation model                                      \"\"; \"\"2.3.4 Latent growth model                                \"\"; \"\"2.3.5 Multiple-group analysis                                    \"\"; \"\"2.4 Estimation methods, test statistics, and goodness-of-fit indices                                                                           \"\"; \"\"2.4.1 Maximum likelihood estimation                                          \"\""]
[{"$nulls":4},"\"\"2.4.2 Weighted least squares                                   \"\"\"\"2.4.3 Multiple-group analysis                                    \"\"; \"\"2.4.4 Likelihood ratio test and Wald test                                                \"\"; \"\"2.4.5 Confidence intervals on parameter estimates                                                        \"\"; \"\"2.4.6 Test statistics versus goodness-of-fit indices                                                           \"\"; \"\"2.5 Extensions on structural equation modeling                                                     \"\""]
[{"$nulls":4},"\"\"2.5.1 Phantom variables                              \"\""]
[null,null,null,"Sommario/riassunto","Presents a novel approach to conducting meta-analysis using structural equation modeling.   Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment.   Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the impo"]