Students' perceptions of characteristics of effective college teachers: A validity study of a teaching evaluation form using a mixed-methods analysis

Anthony J. Onwuegbuzie, Ann E. Witcher, Kathleen M.T. Collins, Janet D. Filer, Cheryl D. Wiedmaier, Chris W. Moore

Research output: Contribution to journalArticlepeer-review

165 Citations (Scopus)

Abstract

This study used a multistage mixed-methods analysis to assess the content-related validity (i.e., item validity, sampling validity) and construct-related validity (i.e., substantive validity, structural validity, outcome validity, generalizability) of a teaching evaluation form (TEF) by examining students' perceptions of characteristics of effective college teachers. Participants were 912 undergraduate and graduate students (10.7% of student body) from various academic majors enrolled at a public university. A sequential mixed-methods analysis led to the development of the CARE-RESPECTED Model of Teaching Evaluation, which represented characteristics that students considered to reflect effective college teaching - comprising four meta-themes (communicator, advocate, responsible, empowering) and nine themes (responsive, enthusiast, student centered, professional, expert, connector, transmitter, ethical, and director). Three of the most prevalent themes were not represented by any of the TEF items; also, endorsement of most themes varied by student attribute (e.g., gender, age), calling into question the content- and construct-related validity of the TEF scores.

Original languageEnglish
Pages (from-to)113-160
Number of pages48
JournalAmerican Educational Research Journal
Volume44
Issue number1
DOIs
Publication statusPublished - Mar 2007
Externally publishedYes

Keywords

  • College teaching
  • Mixed methods
  • Teaching evaluation form
  • Validity

ASJC Scopus subject areas

  • Education

Fingerprint

Dive into the research topics of 'Students' perceptions of characteristics of effective college teachers: A validity study of a teaching evaluation form using a mixed-methods analysis'. Together they form a unique fingerprint.

Cite this