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A Three-Step Approach to Factor Analysis on Data of Multiple Testlets

In: Measurement and Multivariate Analysis

Author

Listed:
  • Soonmook Lee

    (Sungkyunkwan University, Ewha Womans University)

  • Ahyoung Kim

    (Sungkyunkwan University, Ewha Womans University)

Abstract

Summary A testlet consists of a text and several items following it. It is often observed that a test consists of multiple testlets. The items within a testlet are more interrelated than they are with other items in the test. In this note, we attempt to show how to estimate common factors in the data of multiple testlets. We start our argument from the rationale of common factor analysis on each testlet. However, we treat the effect of a testlet on the item scores within the testlet as the method effect. If we are able to remove the method effect from subjects’ response data, then we can apply ordinary factor analysis on the residualized scores that remain after partialing out the method effect. Application of our approach is also demonstrated.

Suggested Citation

  • Soonmook Lee & Ahyoung Kim, 2002. "A Three-Step Approach to Factor Analysis on Data of Multiple Testlets," Springer Books, in: Shizuhiko Nishisato & Yasumasa Baba & Hamparsum Bozdogan & Koji Kanefuji (ed.), Measurement and Multivariate Analysis, pages 315-324, Springer.
    • Handle: RePEc:spr:sprchp:978-4-431-65955-6_34
    DOI: 10.1007/978-4-431-65955-6_34
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