Title

Assessing Group-Level Constructs Under Missing Data Conditions: A Monte Carlo Situation

Department/School

Management

Date of this version

2010

Document Type

Article

Keywords

Within-group response, group-level constructs, missing data, Monte Carlo simulation

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.

Published in

Small Group Research

Citation/Other Information

Maloney, Mary M., Scott G. Johnson, and Mary E. Zellmer-Bruhn. "Assessing group-level constructs under missing data conditions: A Monte Carlo simulation." Small Group Research 41.3 (2010): 281-307.