Literature DB >> 29795852

Does Matching Quality Matter in Mode Comparison Studies?

Ji Zeng1, Ping Yin2, Kerby A Shedden3.   

Abstract

This article provides a brief overview and comparison of three matching approaches in forming comparable groups for a study comparing test administration modes (i.e., computer-based tests [CBT] and paper-and-pencil tests [PPT]): (a) a propensity score matching approach proposed in this article, (b) the propensity score matching approach used by Lottridge, Nicewander, and Mitzel, and (c) a modified approach of matched samples comparability analyses (MSCA) mentioned by Way, Davis, and Fitzpatrick. Different matching approaches resulted in different matched data with differing degrees of matching quality, and matched data from each matching approach were then used in the mode comparison investigation. Construct equivalence was examined and the level of invariance was found to be consistent across modes for all three matching approaches. Raw-to-scale score conversion tables were created, and the impact on CBT students' proficiency classification was examined. The comparison of the number of CBT students whose proficiency classification would be affected and the equality of score distributions between modes on raw scores and scale scores across the three matching approaches indicate that the propensity score matching approach delineated in this article led to the most consistent evidence for the conclusion of the mode comparison.

Keywords:  conversion tables; mode comparison; propensity score matching

Year:  2015        PMID: 29795852      PMCID: PMC5965597          DOI: 10.1177/0013164414565006

Source DB:  PubMed          Journal:  Educ Psychol Meas        ISSN: 0013-1644            Impact factor:   2.821


  4 in total

1.  The importance of covariate selection in controlling for selection bias in observational studies.

Authors:  Peter M Steiner; Thomas D Cook; William R Shadish; M H Clark
Journal:  Psychol Methods       Date:  2010-09

2.  Matching methods for causal inference: A review and a look forward.

Authors:  Elizabeth A Stuart
Journal:  Stat Sci       Date:  2010-02-01       Impact factor: 2.901

3.  A Comparison of Paper and Online Tests Using a Within-Subjects Design and Propensity Score Matching Study.

Authors:  Susan M Lottridge; W Alan Nicewander; Howard C Mitzel
Journal:  Multivariate Behav Res       Date:  2011-05-31       Impact factor: 5.923

4.  Propensity score techniques and the assessment of measured covariate balance to test causal associations in psychological research.

Authors:  Valerie S Harder; Elizabeth A Stuart; James C Anthony
Journal:  Psychol Methods       Date:  2010-09
  4 in total

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