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Online Course Evaluations: Nonresponse
and ClassEval in Fall 2009
COURSE EVALUATIONS
Paper versus Online
Ratings
Can
they?
Why?
How?
METHODS OF ANALYSIS
• Study measured likelihood of response
• Hierarchical modeling techniques
• 30 variables
– Students (demographics, housing, number of surveys
students completed)
– Course (if department of course and student’s major
matched; grade earned)
RESULTS
Statistically significant
characteristics
associated with
nonrepsonse:
– Gender (Male)
– Ethnicity (African-American,
Asian)
– Housing (off-
campus/commuters)
– Athletes
– Grades (Ds, Fs, ungraded
students/courses)
– Age (traditional age)
– Nontransfers
– Class rank (sophomores &
juniors)
– Students with more than
10 SETs to complete
48% response rate
(overall)
RESULTS (continued)
• Using Holland’s six major academic types
– Realistic majors were more likely to respond than social,
artistic, conventional, enterprising, and investigative
disciplines.
– Social majors were less likely to respond than all other
students if the course was in the same department as the
student’s major.
• Most variables were no longer statistically significant
when the course was in the same department as
their major.
DISCUSSION
• Mostly aligned with previous research and theories
of survey participation*
– Exceptions = Environment of major/course, class rank
• Survey Fatigue – Are we oversurveying?
• Introduced new potential influences on participation
– Campus housing, athletes, transfer status,
* Avery et al., 2006; Cohen, 1981; Clarksberg, et al., 2008; Dey, 1997; Dillman et al., 2002, 2009; Fidelman, 2007; Groves et
al., 2004, 2009; Johnson et al., 2002; Jones, 2009; Kaplowitz et al., 2004; Lepkowski & Couper, 2002; Marsh, 2007; Moore &
Tarnai, 2002; Porter et al., 2004; Porter & Umbach, 2006a; Porter & Whitcomb, 2005; Sax et al., 2003, 2008
TO INCREASE RESPONSE RATES
• Faculty attitudes and efforts are key to obtaining
higher response rates*
• The instrument and administration of it
• Target students unlikely to respond
• Evaluate the environment
– Are course evaluations online accessible?
– Is the instructor encouraging response? Is the discipline?
* (Ballantyne, 2003; Dillman, 1978; Dillman et al., 2002, 2009; Dommeyer et al., 2004; Groves et al., 1992)
ADDITIONAL RECOMMENDATIONS
• Obtain more information about the course, the
faculty, class size, etc.
FOR MORE INFORMATION
meredith_adams@ncsu.edu
Full study available online at
http://repository.lib.ncsu.edu/ir/handle/1840.16/6364

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Online course evaluations: Nonresponse and ClassEval in Fall 2009

  • 1. Online Course Evaluations: Nonresponse and ClassEval in Fall 2009
  • 2. COURSE EVALUATIONS Paper versus Online Ratings Can they? Why? How?
  • 3. METHODS OF ANALYSIS • Study measured likelihood of response • Hierarchical modeling techniques • 30 variables – Students (demographics, housing, number of surveys students completed) – Course (if department of course and student’s major matched; grade earned)
  • 4. RESULTS Statistically significant characteristics associated with nonrepsonse: – Gender (Male) – Ethnicity (African-American, Asian) – Housing (off- campus/commuters) – Athletes – Grades (Ds, Fs, ungraded students/courses) – Age (traditional age) – Nontransfers – Class rank (sophomores & juniors) – Students with more than 10 SETs to complete
  • 6. RESULTS (continued) • Using Holland’s six major academic types – Realistic majors were more likely to respond than social, artistic, conventional, enterprising, and investigative disciplines. – Social majors were less likely to respond than all other students if the course was in the same department as the student’s major. • Most variables were no longer statistically significant when the course was in the same department as their major.
  • 7.
  • 8. DISCUSSION • Mostly aligned with previous research and theories of survey participation* – Exceptions = Environment of major/course, class rank • Survey Fatigue – Are we oversurveying? • Introduced new potential influences on participation – Campus housing, athletes, transfer status, * Avery et al., 2006; Cohen, 1981; Clarksberg, et al., 2008; Dey, 1997; Dillman et al., 2002, 2009; Fidelman, 2007; Groves et al., 2004, 2009; Johnson et al., 2002; Jones, 2009; Kaplowitz et al., 2004; Lepkowski & Couper, 2002; Marsh, 2007; Moore & Tarnai, 2002; Porter et al., 2004; Porter & Umbach, 2006a; Porter & Whitcomb, 2005; Sax et al., 2003, 2008
  • 9. TO INCREASE RESPONSE RATES • Faculty attitudes and efforts are key to obtaining higher response rates* • The instrument and administration of it • Target students unlikely to respond • Evaluate the environment – Are course evaluations online accessible? – Is the instructor encouraging response? Is the discipline? * (Ballantyne, 2003; Dillman, 1978; Dillman et al., 2002, 2009; Dommeyer et al., 2004; Groves et al., 1992)
  • 10. ADDITIONAL RECOMMENDATIONS • Obtain more information about the course, the faculty, class size, etc.
  • 11. FOR MORE INFORMATION meredith_adams@ncsu.edu Full study available online at http://repository.lib.ncsu.edu/ir/handle/1840.16/6364

Notes de l'éditeur

  1. Realistic Majors =
  2. INSTRUMENT: Lab questions then the lab is surveyed too. ADMIN: Cut down on opportunity costs (off-campus students, athletes) ENVIRONMENT: Smart et al., 2000 (academic disciplines book)