Literature DB >> 12075143

Medical students' ratings of faculty teaching in a multi-instructor setting: an examination of monotonic response patterns.

Terry D Stratton1, Donald B Witzke, Robert J Jacob, Marlene J Sauer, Amy Murphy-Spencer.   

Abstract

Realizing that the psychometric properties of a measure may be highly variable is especially relevant in a multi-instructor context, since an implicit assumption is that student ratings are equally reliable and valid for all faculty ratees. As a possible indicator of nonattending (i.e. invalid) responses, the authors examined the effects of monotonic response patterns on the reliabilities of students' ratings of faculty teaching - including how an alternative presentation format may reduce the prevalence of this behavior. Second-year medical and dental students (n = 130) enrolled in a required basic science course during the 1998-99 academic year were randomly assigned to one of two groups - each of which evaluated the teaching of 6 different faculty across 6 distinct dimensions (i.e. overall quality, organization, preparation, stimulation, respectfulness, and helpfulness). Using a 'split ballot' design, two versions of the conceptually equivalent faculty evaluation form were distributed at random to students in each group. Form A contained the 'traditional' items-within-faculty format, while Form B listed faculty-within-item.The number of monotonic forms (i.e. the identical rating of all 6 items) varied measurably across faculty ratees, as did the respective effects on scale reliabilities. Alpha was especially inflated where a sizeable proportion of monotonic patterns were located on response categories that were either very high (> +1.28 z(m) deviations) or very low (< -1.28 z(m) deviations) compared to the group mean. Lastly, the prevalence of monotonic response patterns was significantly (p = < or = 0.01) less when a faculty-within-item format is used (Form B). These findings suggest that monotonic response patterns differentially impact the reliabilities and, hence, the validity of students' ratings of individual faculty in a multi-instructor context.

Mesh:

Year:  2002        PMID: 12075143     DOI: 10.1023/a:1015735813922

Source DB:  PubMed          Journal:  Adv Health Sci Educ Theory Pract        ISSN: 1382-4996            Impact factor:   3.853


  1 in total

1.  Potential bias factors that affect the course evaluation of students in preclinical courses.

Authors:  Su Jin Chae; Miran Kim; Ki Hong Chang; Yoon-Sok Chung
Journal:  Korean J Med Educ       Date:  2017-05-29
  1 in total

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