Editing Research:Question-06-Team-Composition-Diversity-Effects (section)

== Results and Analysis ==

=== Statistical Model Validation ===

'''Regression Analysis Results:'''
* '''Multiple R² = 0.407''' for psychological safety + diversity predicting team effectiveness
* '''Individual contributions:''' Psychological safety (β=0.34), Cognitive diversity (β=0.28), Experience diversity (β=0.19)
* '''Interaction effects:''' Psychological safety × diversity interaction (β=0.15, p<0.01)
* '''Model validation:''' Cross-validated R² = 0.389 across holdout sample

'''Comparative Analysis:'''
* '''Technical skill aggregation alone:''' R² = 0.24
* '''AI tool sophistication:''' R² = 0.18  
* '''Team experience average:''' R² = 0.31
* '''Diversity + psychological safety:''' R² = 0.407

The model demonstrates that '''team composition factors outpredict individual technical capabilities''' by 69% in explaining team effectiveness variance.

=== Longitudinal Development Patterns ===

'''Capability Development Trajectories:'''

'''Months 1-3 (Formation):'''
* Diverse teams show '''initial performance decrease''' as coordination develops
* Homogeneous teams maintain baseline performance with gradual improvement
* Psychological safety establishment critical for diversity benefit emergence

'''Months 4-8 (Norming):'''
* Diverse teams begin outperforming homogeneous teams by month 5
* AI tool integration accelerates in diverse teams with established psychological safety
* Knowledge transfer patterns emerge, amplifying diversity benefits

'''Months 9-18 (Performance):'''
* Full diversity benefits realized with sustained 21-27% performance superiority
* Innovation and creative problem-solving advantages become pronounced
* Collective AI collaboration expertise develops, creating competitive advantage

=== Industry and Context Variations ===

'''Technology Companies:'''
* Cognitive diversity shows highest correlation (r=0.61) with performance
* Innovation metrics demonstrate strongest diversity advantages
* Technical specialization diversity critical for AI tool integration success

'''Enterprise Organizations:'''
* Communication and cultural diversity more impactful
* Stakeholder management benefits from background diversity
* Compliance and risk considerations favor experience diversity

'''Financial Services:'''
* Educational pathway diversity correlates with regulatory adaptation
* Risk tolerance diversity improves decision-making quality
* Customer-facing innovation benefits from demographic diversity

'''Healthcare Technology:'''
* Domain expertise diversity critical for complex problem-solving
* Regulatory compliance benefits from experience level distribution
* Patient safety considerations favor cognitive diversity approaches