A META-ANALYSIS OF TEAMWORK PROCESSES: TESTS OF A MULTIDIMENSIONAL MODEL AND RELATIONSHIPS WITH TEAM EFFECTIVENESS CRITERIA

Drawing from Marks, Mathieu, and Zaccaro (2001) , we proposed that narrowly focused teamwork processes load onto 3 higher-order teamwork process dimensions, which in turn load onto a general teamwork process factor. Results of model testing using meta-analyses of relationships among narrow teamwork processes provided support for the structure of this multidimensional theory of teamwork process. Meta-analytic results also indicated that teamwork processes have positive relationships with team performance and member satisfaction, and that the relationships are similar across the teamwork dimensions and levels of process specificity. Supplemental analyses revealed that the 3 intermediate-level teamwork processes are positively and strongly related to cohesion and potency. Results of moderator analyses suggested that relationships among teamwork processes and team performance are somewhat dependent on task interdependence and team size.     

The Need for a New Psychological Model of Religious Development

This article summarizes the most prominent theories of religious development that are rooted in Piagetian tradition: R. Goldman, D. Elkind, J. Fowler, F. Oser. Following a discussion of some of their assumptions and presuppositions, the paper presents a rationale for a new theoretical model of religious development applicable to Christian populations and congruent with a Christian worldview.     

NONSTATIONARY DATA SHOULD NOT BE “CORRECTED”

Ellis (1979), in his study of interaction patterns in groups, discovered that his data did not satisfy the assumptions of a simple Markov model. In particular, he found that his data failed to satisfy the assumption of stationarity. In response to this, Ellis employed a new composite matrix procedure to generate a single set of predicted one-step transition probabilities. This essay argues that this procedure (1) does not generate one-step probabilities, (2) does not produce legitimately interpretable results, and (3) is a fundamentally inappropriate response to the discovery of nonstationary data. The composite matrix procedure used by Ellis is discussed and appropriate responses to the discovery of nonstationary interaction data are proposed.     

The Search for Reliable Generalizations About Messages A Comparison of Research Strategies

Two ways of conducting the search for generalizations about messages are considered: Morley's (this volume) proposal that single-message research designs be used, with subsequent meta-analytic summaries, and Jackson and Jacobs's (1983) proposal that multiple-message designs be used, with messages treated as a random factor in the statistical analysis. Jackson and Jacobs's approach is shown to provide a more dependable, efficient, and practical means for gathering the requisite evidence for dependable generalizations. The charge that multiple-message designs suffer from irreparable problems of experimenter bias is refuted. The treatment of messages as a random factor is defended as statistically appropriate and as clearly preferable to the statistical alternatives.