Multilevel Methods

By P. Bliese, David Chan, Robert E. Ployhart. 2007

124 citations recorded by the source corpus.

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.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/d66b2b160b9754195f21a3565a2e247f202c2c8d

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In Sociology and Political Science

Citations in the corpus

Advancements in crossover theory (2009, background): “Measurement issues regarding what happens when lower-level variables are aggregated to represent higher level constructs are still a central theme in multilevel research on crossover (see Bliese et al., 2007). For instance, in the Westman and Etzion (1999) study, the aggregation of answers from diff”
What We Know and Don’t Know About Corporate Social Responsibility (2012, background): “However, there are several sources that address these issues in detail, including Bliese, Chan, and Ployhart (2007); Croon and Van Veldhoven (2007); Mathieu and Chen (2011); Mathieu, Aguinis, Culpepper, and Chen (2012); and Preacher, Zhang, and Zyphur (2011).”
The dysfunctions of power in teams: A review and emergent conflict perspective (2017, background): “…research which has sought to understand how individual traits and properties, such as personality or values, can be compiled to the team level (Bliese, Chan, & Ployhart, 2007; Chan, 1998; Harrison & Klein, 2007; Stewart et al., 2005), those researching power at the team level of analysis have…”