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This book explains how to employ MASEM, the combination of meta-analysis (MA) and structural equation modelling (SEM). It shows how by using MASEM, a single model can be tested to explain the relationships between a set of variables in several studies. This book gives an introduction to MASEM, with a focus on the state of the art approach: the two stage approach of Cheung and Cheung & Chan. Both, the fixed and the random approach to MASEM are illustrated with two applications to real data. All steps that have to be taken to perform the analyses are discussed extensively. All data and syntax files are available online, so that readers can imitate all analyses. By using SEM for meta-analysis, this book shows how to benefit from all available information from all available studies, even if few or none of the studies report about all relationships that feature in the full model of interest.

Mathematical Statistics --- Mathematics --- Physical Sciences & Mathematics --- Structural equation modeling. --- Meta-analysis. --- SEM (Structural equation modeling) --- Statistics. --- Social sciences. --- Statistical Theory and Methods. --- Methodology of the Social Sciences. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Statistics for Social Science, Behavioral Science, Education, Public Policy, and Law. --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Medicine --- Psychometrics --- Social sciences --- Multivariate analysis --- Factor analysis --- Regression analysis --- Path analysis (Statistics) --- Research --- Evaluation --- Mathematical statistics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistics for Social Sciences, Humanities, Law. --- Methodology. --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Statistics .

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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Science: general issues --- Psychology --- structural equating modeling --- Measurement invariance (MI) --- Multilevel (ML) --- Mediation --- Moderation --- meta analysis --- effect size --- Complex data --- Estimation --- carryover effect

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• Reference Manager
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This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact

Science: general issues --- Psychology --- structural equating modeling --- Measurement invariance (MI) --- Multilevel (ML) --- Mediation --- Moderation --- meta analysis --- effect size --- Complex data --- Estimation --- carryover effect