Assessing group-level constructs under missing data conditions: A Monte Carlo simulation

Mary M. Maloney, Scott G. Johnson, Mary E. Zellmer-Bruhn

Research output: Contribution to journalArticlepeer-review

42 Scopus citations

Abstract

The authors reviewed recently published research on small groups and teams to understand how within-team nonresponse is reported and handled. They used Monte Carlo simulation to investigate how data-handling choices affect measurement reliability and hypothesis testing under conditions of random and systematic nonresponse. More complete reporting of nonresponse is recommended by the authors, and they propose guidelines for analyzing team-level constructs using data from teams without full response.

Original languageEnglish (US)
Pages (from-to)281-307
Number of pages27
JournalSmall Group Research
Volume41
Issue number3
DOIs
StatePublished - Jun 2010

Keywords

  • Group-level constructs
  • Missing data
  • Monte Carlo simulation
  • Within-group response

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