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Psychometric Models of Small Group Collaborations

Author

Listed:
  • Peter F. Halpin

    (New York University)

  • Yoav Bergner

    (New York University)

Abstract

The social combination theory of group problem solving is used to extend existing psychometric models to collaborative settings. A model for pairwise group work is proposed, the implications of the model for assessment design are considered, and its estimation is addressed. The results are illustrated with an empirical example in which dyads work together on a twelfth-grade level mathematics assessment. In conclusion, attention is given to avenues of research that seem most fruitful for advancing current initiatives concerning the assessment of collaboration, teamwork, and related constructs.

Suggested Citation

  • Peter F. Halpin & Yoav Bergner, 2018. "Psychometric Models of Small Group Collaborations," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 941-962, December.
  • Handle: RePEc:spr:psycho:v:83:y:2018:i:4:d:10.1007_s11336-018-9631-z
    DOI: 10.1007/s11336-018-9631-z
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    References listed on IDEAS

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    1. Irving Lorge & Herbert Solomon, 1955. "Two models of group behavior in the solution of eureka-type problems," Psychometrika, Springer;The Psychometric Society, vol. 20(2), pages 139-148, June.
    2. Davis, James H., 1992. "Some compelling intuitions about group consensus decisions, theoretical and empirical research, and interpersonal aggregation phenomena: Selected examples 1950-1990," Organizational Behavior and Human Decision Processes, Elsevier, vol. 52(1), pages 3-38, June.
    3. Jeffrey Mo, 2017. "Collaborative problem solving," PISA in Focus 78, OECD Publishing.
    4. Albert Satorra & Peter Bentler, 2010. "Ensuring Positiveness of the Scaled Difference Chi-square Test Statistic," Psychometrika, Springer;The Psychometric Society, vol. 75(2), pages 243-248, June.
    5. Michael V. Levine & Donald B. Rubin, 1979. "Measuring the Appropriateness of Multiple-Choice Test Scores," Journal of Educational and Behavioral Statistics, , vol. 4(4), pages 269-290, December.
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