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Pseudo-Equivalent Groups and Linking

Author

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  • Shelby J. Haberman

    (Educational Testing Service)

Abstract

Adjustment by minimum discriminant information provides an approach to linking test forms in the case of a nonequivalent groups design with no satisfactory common items. This approach employs background information on individual examinees in each administration so that weighted samples of examinees form pseudo-equivalent groups in the sense that they resemble samples from equivalent groups. Linking methods for equivalent groups are then applied to the weighted samples. To illustrate the approach, 29 administrations from a testing program are linked via the method of pseudo-equivalent groups. Because the forms used are currently linked by use of kernel equating, it is possible to compare the reasonableness of results from pseudo-equivalent groups to results from kernel equating.

Suggested Citation

  • Shelby J. Haberman, 2015. "Pseudo-Equivalent Groups and Linking," Journal of Educational and Behavioral Statistics, , vol. 40(3), pages 254-273, June.
  • Handle: RePEc:sae:jedbes:v:40:y:2015:i:3:p:254-273
    DOI: 10.3102/1076998615574772
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    References listed on IDEAS

    as
    1. Hongwen Guo, 2010. "Accumulative Equating Error after a Chain of Linear Equatings," Psychometrika, Springer;The Psychometric Society, vol. 75(3), pages 438-453, September.
    2. Zvi Gilula & S. J. Haberman, 2000. "Density Approximation by Summary Statistics: An Informationā€theoretic Approach," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 27(3), pages 521-534, September.
    Full references (including those not matched with items on IDEAS)

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