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The Athletic Intelligence Quotient and Performance Outcomes in Professional Baseball
James Kenneth Bowman1, R Thomas Boone2, Scott Goldman3
1Great Neck Public Schools, Great Neck, NY, United States.
Frontiers in Psychology
|July 12, 2021
Summary
The Athletic Intelligence Quotient (AIQ) can predict baseball player performance, showing significant relationships with hitting and pitching statistics. This cognitive measure offers valuable insights for player selection and coaching strategies in professional baseball.
Area of Science:
- Sports Science
- Motor Control
- Cognitive Psychology
Background:
- Quantifiable data drives advancements in baseball performance strategies.
- Cognitive functioning is an emerging factor considered in professional baseball.
- Athletic Intelligence Quotient (AIQ) is a cognitive assessment tool.
Purpose of the Study:
- To determine the predictive validity of the AIQ for professional baseball performance.
- To assess the relationship between AIQ scores and baseball statistics.
- To explore the AIQ's potential role in player selection and coaching.
Main Methods:
- Collected AIQ scores from 149 Minor League Baseball (MiLB) players.
- Assessed player performance using traditional and advanced baseball statistics.
- Employed hierarchical multiple regression analysis to evaluate predictive relationships.
Main Results:
- AIQ scores demonstrated statistically significant predictive relationships with hitting statistics.
- AIQ scores also showed statistically significant predictive relationships with pitching statistics.
- These findings held true after controlling for other relevant variables.
Conclusions:
- The AIQ is a valid predictor of performance outcomes in professional baseball.
- Cognitive functioning, as measured by AIQ, is an important consideration for player evaluation.
- The AIQ has potential applications in enhancing player selection and coaching methodologies.
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