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Can alignment in individual team ratings predict team performance? : Measuring the correlation between the team variance of individual ratings of team performance and observed team performance.

Spaander, Demi (2024) Can alignment in individual team ratings predict team performance? : Measuring the correlation between the team variance of individual ratings of team performance and observed team performance.

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Abstract:There is increasing criticism on students’ preparedness for the workplace. Students need to develop professional skills to bridge the gap between formal education and their professional careers. The University of Twente developed a course for third year undergraduate students to improve their professional development through self-directed learning and teamwork. As part of this course, students completed weekly self-report questionnaires on items relating to team competencies, performance, and efficacy over the course of five weeks and received weekly team reports. To add to existing theory on shared mental models and its implications for team performance, this study aimed to discover the effects of team alignment on observed performance. Team alignment was determined by calculating the variance between team members’ scores and compared to the team’s project grade and individual course grade. This study showed a significant positive linear relation between team alignment on performance at the start of the project and observed team performance. There was a significant positive linear relation between efficacy and observed team performance at the end of the project. No significant results were found for team alignment in relation to individual performance. This study provides a new method for predicting team performance by measuring team alignment through variance. Further theoretical and practical implications are discussed, as well as directions for future research.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:81 education, teaching
Programme:Educational Science and Technology MSc (60023)
Link to this item:https://purl.utwente.nl/essays/98716
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