This book summarizes a range of new analytic tools for multitrait-multimethod (MTMM) data. Providing an expository yet accessible approach to cutting-edge developments for MTMM analysis, a selection of quantitative researchers reveal their recent contributions to the field including non-technical summaries and empirical examples.
This book summarizes a range of new analytic tools for multitrait-multimethod (MTMM) data. Providing an expository yet accessible approach to cutting-edge developments for MTMM analysis, a selection of quantitative researchers reveal their recent contributions to the field including non-technical summaries and empirical examples.
Jonathan Lee Helm is an Assistant Professor of quantitative psychology at San Diego State University, California, USA. In general, Dr. Helm develops and refines statistical models that measure psychological constructs, and analyze longitudinal data.
Inhaltsangabe
1 An Introduction to Advanced Multitrait-Multimethod Analysis 2 Multitrait-Multimethod Matrix: Method in the Madness 3 Restricted Correlated Trait - Correlated Method Models for Analyzing Multitrait - Multimethod Data 4 Musing on Alternate Confirmatory Factor Models for Multitrait - Multimethod Data 5 Rank Deficiencies in a Reduced Information Latent Variable Model 6 Calculating the Probability of Accurate Model Selection for Multitrait - Multimethod Structural Equation Models 7 Construction of Informative Priors for the Application of CFA - MTMM Models in Small Samples: A Model - Free Approach 8 Leveraging Component-Based Methods to Improve MTMM Analysis: Exploration and Outlier Detection 9 Analysing Multitrait-Multimethod Data with Exploratory Multivariate Analysis...The French Way: A Multiple Factor Analysis Perspective
1 An Introduction to Advanced Multitrait-Multimethod Analysis 2 Multitrait-Multimethod Matrix: Method in the Madness 3 Restricted Correlated Trait - Correlated Method Models for Analyzing Multitrait - Multimethod Data 4 Musing on Alternate Confirmatory Factor Models for Multitrait - Multimethod Data 5 Rank Deficiencies in a Reduced Information Latent Variable Model 6 Calculating the Probability of Accurate Model Selection for Multitrait - Multimethod Structural Equation Models 7 Construction of Informative Priors for the Application of CFA - MTMM Models in Small Samples: A Model - Free Approach 8 Leveraging Component-Based Methods to Improve MTMM Analysis: Exploration and Outlier Detection 9 Analysing Multitrait-Multimethod Data with Exploratory Multivariate Analysis...The French Way: A Multiple Factor Analysis Perspective
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