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Related Concept Videos

Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus: Comparing...
Social Loafing01:37

Social Loafing

Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated, individuals become less...
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Variability: Analysis

Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
Environmental Influences on Intelligence01:29

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Despite the strong genetic influence on traits like intelligence, environmental factors significantly shape outcomes. For example, while over 90% of height variation is due to genetic differences, environmental factors such as nutrition also have a notable impact. Similarly, for intelligence, changes in a child's surroundings can significantly alter their IQ. Research shows that enriched environments boost children's academic success and help them develop key cognitive skills. Children from...
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

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Spearman's test calculates correlation by...
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Measures of Intelligence

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Related Experiment Videos

Deep-level composition variables as predictors of team performance: a meta-analysis.

Suzanne T Bell1

  • 1Department of Psychology, DePaul University, Chicago, IL 60614, USA. SBELL11@depaul.edu

The Journal of Applied Psychology
|May 9, 2007
PubMed
Summary

Effective team composition relies on deep-level traits. Personality and values matter more in field settings, while general mental ability and emotional intelligence are key in labs, guiding team building.

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Area of Science:

  • Organizational Psychology
  • Team Dynamics
  • Human Resources Management

Background:

  • Understanding team composition is crucial for optimizing team performance.
  • Deep-level team composition variables (personality, values, abilities) are increasingly recognized as important.
  • Existing research presents varied findings on these relationships.

Purpose of the Study:

  • To unify the team composition literature through meta-analysis.
  • To estimate the relationships between deep-level team composition variables and team performance.
  • To investigate moderators, such as study setting and operationalization, on these relationships.

Main Methods:

  • Meta-analytic techniques were employed to synthesize findings from existing studies.
  • Deep-level team composition variables including personality, values, and abilities were examined.
  • Study setting (laboratory vs. field) and variable operationalization were analyzed as moderators.

Main Results:

  • In lab settings, general mental ability and emotional intelligence significantly predicted team performance.
  • In contrast, personality factors and values showed negligible effects on team performance in lab settings.
  • Field studies revealed that agreeableness, conscientiousness, openness to experience, collectivism, and preference for teamwork strongly predicted team performance.

Conclusions:

  • Team composition strategies should consider the study setting for optimal effectiveness.
  • Deep-level traits like personality and values are particularly important for performance in real-world organizational settings.
  • These findings offer practical guidance for organizational team composition and future research directions.