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

Soonmook Lee and Ahyoung Kim
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Soonmook Lee: Sungkyunkwan University, Ewha Womans University
Ahyoung Kim: Sungkyunkwan University, Ewha Womans University

A chapter in Measurement and Multivariate Analysis, 2002, pp 315-324 from Springer

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.

Keywords: Design Factor; Confirmatory Factor Analysis; Tacit Knowledge; Response Alternative; Method Factor (search for similar items in EconPapers)
Date: 2002
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-4-431-65955-6_34

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DOI: 10.1007/978-4-431-65955-6_34

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