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

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

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

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.

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Series Title: Small Group Research
Call Number: -
Publisher: : sage publisher., 2010
Collation: -
Language: English
ISBN/ISSN: 10464964
Classification: -
Content Type: -
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Edition: Vol. 41 no. 3, June 2010. pp. 281-307
Subject(s): missing data
Within-group response
Group-level constructs
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Statement of Responsibility: -

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