Title

A Cautionary Note on Modeling Multitrait-Multirater Data Arising From Ill-Structured Measurement Designs

Authors

Authors

D. J. Putka; C. E. Lance; H. Le;R. A. McCloy

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

Organ. Res. Methods

Keywords

confirmatory factor analysis; job performance ratings; measurement; design; MULTISOURCE PERFORMANCE RATINGS; COVARIANCE STRUCTURE-ANALYSIS; CROSS-CLASSIFIED DATA; JOB-PERFORMANCE; MEASUREMENT EQUIVALENCE; MULTIMETHOD MATRIX; CONSTRUCT-VALIDITY; RATER; METAANALYSIS; SUBORDINATE; Psychology, Applied; Management

Abstract

The authors illustrate a problem with confirmatory factor analysis (CFA)-based strategies to model disaggregated multitrait-multirater (MTMR) data-the potential to find markedly different results with the same sample of ratees simply as a result of how one selects and identifies raters within the data set one has gathered for analysis. Using performance ratings gathered as part of a large criterion-related validation study, the authors show how such differences manifest themselves in several ways including variation in (a) covariance matrices that serve as input for the modeling effort, (b) model convergence, (c) admissibility of solutions, (d) overall model fit, (e) model parameter estimates, and (f) model selection. Implications of this study for past research and recommendations for future CFA-based MTMR modeling efforts are discussed.

Journal Title

Organizational Research Methods

Volume

14

Issue/Number

3

Publication Date

1-1-2011

Document Type

Article

Language

English

First Page

503

Last Page

529

WOS Identifier

WOS:000291030900005

ISSN

1094-4281

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