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Advanced Multitrait-Multimethod Analyses for the Behavioral and Social Sciences

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advanced trait method analysis
Bayesian Estimation
Category=GPS
Category=JMBT
Category=JNM
confirmatory factor analysis
Correlated Factor Model
DIC Value
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Heterotrait Heteromethod Correlations
HMC
Inadmissible Solutions
Interchangeable Methods
Latent Method Factors
Latent Trait Factor
latent variable modelling
measurement invariance
Method Factor Loadings
Method Factors
Model Free Approach
MTMM Matrix
MTMM Model
MTMM Study
Multiple Factor Analysis
Multitrait Multimethod Data
Non-reference Method
PCA Loading Plot
psychometric validation
quantitative research methods
Rank Deficiency
Split Ballot Design
structural equation modelling
Trait Factor
Trait Factor Loadings
Trait Method Unit
True Score Variable

Product details

  • ISBN 9780367336424
  • Weight: 380g
  • Dimensions: 156 x 234mm
  • Publication Date: 20 Jul 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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. This 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.
About

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.