title: Voluntary survey completion among team members: implications of noncompliance and missing data for multilevel research.
abstract: We explored whether voluntary survey completion by team members (in aggregate) is predictable from team members' collective evaluations of team-emergent states. In doing so, we reanalyze less-than-complete survey data on 110 teams from a published field study, using so-called traditional and modern missing data techniques to probe the sensitivity of these team-level relationships to data missingness. The multivariate findings revealed that a greater within-team participation rate was indeed related to a higher team-level (mean) score on team mental efficacy (across all four missing-data techniques) and less dispersion among team member judgments about internal cohesion (when the 2 modern methods were used). In addition, results show that a commonly used approach of retaining only those teams with high participation rates produces inflated standardized effect size (i.e., R²) estimates and decreased statistical power. Suggestions include research design considerations and a comprehensive methodology to account for team member data missingness.
authors: Department of Management, College of Business, University of Colorado at Colorado Springs, Colorado Springs, CO 80918, USA. rrhirschfeld@gmail.com
authors: Robert R
authors: RR
authors: Hirschfeld
authors: Michael S
authors: MS
authors: Cole
authors: Jeremy B
authors: JB
authors: Bernerth
authors: Tracey E
authors: TE
authors: Rizzuto
mesh_terms: D003625:Data Collection / Q000379:methods* / Q000592:standards; D006126:Group Processes; D006801:Humans; D008960:Models, Psychological; D012107:Research Design / Q000592:standards*