
Advanced Multitrait-Multimethod Analyses for the Behavioral and Social Sciences
Jonathan Lee Helm(Editor)
Routledge (Publisher)
1st Edition
Published on 20. July 2021
Book
Hardback
216 pages
978-0-367-33644-8 (ISBN)
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
College/higher education
Postgraduate and Professional
Illustrations
61 s/w Abbildungen, 1 s/w Photographie bzw. Rasterbild, 60 s/w Zeichnungen, 15 s/w Tabellen
15 Tables, black and white; 60 Line drawings, black and white; 1 Halftones, black and white; 61 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 18 mm
Weight
534 gr
ISBN-13
978-0-367-33644-8 (9780367336448)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Book
07/2021
1st Edition
Routledge
€74.40
Shipment within 15-20 days

E-Book
07/2021
1st Edition
Routledge
€68.49
Available for download

E-Book
07/2021
1st Edition
Routledge
€68.49
Available for download
Person
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.
Content
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