Publication Type
Journal Article
Version
publishedVersion
Publication Date
7-2007
Abstract
The study of multilevel phenomena in organizations involves a complex interplay between methods and statistics on one hand and theory development on the other. In this introduction, the authors provide a short summary of the five articles in this feature topic and use them as a platform to discuss the broad need for work in the two areas of (a) multilevel construct validation and measurement and (b) statistical advances in variance decomposition. Within these two broad frameworks, the authors specifically discuss, first, the need to continue moving beyond notions of isomorphism in developing and testing aggregate-level constructs. Second, they discuss the potential value of using discontinuous growth models to understand transitions in longitudinal studies. Finally, they discuss some of the issues surrounding the ability to decompose variance in multilevel modeling of dichotomous and other nonnormal outcome data.
Keywords
multilevel, discontinuity, transition, construct validation, agreement
Discipline
Industrial and Organizational Psychology | Quantitative Psychology
Research Areas
Psychology
Publication
Organizational Research Methods
Volume
10
Issue
4
First Page
551
Last Page
563
ISSN
1094-4281
Identifier
10.1177/1094428107301102
Publisher
SAGE
Citation
BLIESE, Paul D., CHAN, David, & Ployhart, Robert E..(2007). Multilevel Methods: Emergent Issues and Future Directions in Measurement, Longitudinal Analyses and Non-Normal Outcomes. Organizational Research Methods, 10(4), 551-563.
Available at: https://ink.library.smu.edu.sg/soss_research/180
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1177/1094428107301102