Multilevel measurement models for group collective constructs

Joseph A. Bonito, Joann Keyton

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


When studying groups and teams, researchers can include individual-level and/or group-level phenomena in their research design. Distinguishing between individualand group-level constructs is necessary before choosing statistical analysis and interpretation. This article addresses multilevel measurement models for data collected from individuals within small discussion groups. Measurement models for this class of variables present several challenges because the data are nonindependent. We propose a conceptual framework for establishing a set of models a priori based on the notion of collective constructs and describe means for testing structures at both levels of analysis. Using two data sets, we discuss the conceptual and statistical problems associated with developing measurement models for group data collected at the individual level.

Original languageEnglish (US)
Pages (from-to)1-21
Number of pages21
JournalGroup Dynamics
Issue number1
StatePublished - Mar 2019


  • Collective constructs
  • Latent measurement models
  • Multilevel models
  • Nonindependence

ASJC Scopus subject areas

  • Social Psychology
  • Applied Psychology


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