Journal Articles

Reliability Estimates for Multilevel Designs in Group Research

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Items that capture group members’ outcomes from small group processes (e.g., satisfaction, cohesion) are often nonindependent. A primary assumption of most measurement models is that the data are independent; applying such models to group-outcome data measured at the individual level of analysis is thus likely to produce inaccurate estimates. A solution to the measurement of nonindependent data involves the use of multilevel modeling to estimate variances at item, individual, and group levels of analysis. Examples from several different statistics programs are provided, and Monte Carlo simulations are used to evaluate the effects of group size and number of items on reliability estimates.

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Detail Information

Series Title

Small Group Research: An International Journal of Theory, Investigation and Application

Call Number

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Publisher

Thousand Oaks, CA : Sage Publications., 2012

Collation

p. 443-467

Language

English

ISBN/ISSN

1046-4964

Classification

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Content Type

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Media Type

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Carrier Type

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Edition

Volume 43 Number 4, August 2012 p. 443-467

Subject(s)

Multilevel Modeling
reliability estimates
group outcomes

Specific Detail Info

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