1st Edition

Advanced Multitrait-Multimethod Analyses for the Behavioral and Social Sciences

Edited By

Jonathan Lee Helm




  • Available for pre-order. Item will ship after July 20, 2021
ISBN 9780367336424
July 20, 2021 Forthcoming by Routledge
216 Pages 61 B/W Illustrations

USD $55.95

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Book Description

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.

The contributions inform quantitative social scientists of some of the most cutting-edge developments for MTMM analysis. A range of developments have emerged over the past decade for MTMM analyses, and this book presents these novel additions to the quantitative community as a cohesive narrative. Second, the book makes these recent MTMM contributions accessible to applied researchers (most MTMM innovations are presented in less approachable journals for applied researchers) by providing non-technical summaries and empirical examples.

This book will serve as a stepping stone for applied researchers seeking to adopt MTMM analysis into their program of research, and will be relevant to researchers, both within a professional and academic context, across the social and behavioral sciences.

Table of Contents

  1. An Introduction to Advanced Multitrait-Multimethod Analysis
  2. Jonathan Lee Helm

  3. Multitrait-Multimethod Matrix: Method in the Madness
  4. David A. Kenny

  5. Restricted Correlated Trait - Correlated Method Models for Analyzing Multitrait - Multimethod Data
  6. Michael Eid, Jana Holtmann, and Tobias Koch

  7. Musing on Alternate Confirmatory Factor Models for Multitrait - Multimethod Data
  8. Keith F. Widaman

  9. Rank Deficiencies in a Reduced Information Latent Variable Model
  10. Daniel Oberski

  11. Calculating the Probability of Accurate Model Selection for Multitrait - Multimethod Structural Equation Models
  12. Jonathan Lee Helm

  13. Construction of Informative Priors for the Application of CFA - MTMM Models in Small Samples: A Model - Free Approach
  14. Tobias Koch, Jana Holtmann, and Johannes Heekerens

  15. Leveraging Component-Based Methods to Improve MTMM Analysis: Exploration and Outlier Detection
  16. Laura Castro-Schilo

  17. Analysing Multitrait-Multimethod Data with Exploratory Multivariate Analysis…The French Way: A Multiple Factor Analysis Perspective

Sébastien Lê

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Editor(s)

Biography

Dr. Jonathan 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.