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Why won’t students respond? Characteristics That Influence Students to Answer Surveys

Cassandra Jones, Senior Assessment Associate Alvin Manalo, Research Associate. Why won’t students respond? Characteristics That Influence Students to Answer Surveys. Issue – Online Survey Response Rates. Online surveys

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Why won’t students respond? Characteristics That Influence Students to Answer Surveys

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  1. Cassandra Jones, Senior Assessment Associate Alvin Manalo, Research Associate Why won’t students respond? Characteristics That Influence Students to Answer Surveys

  2. Issue – Online Survey Response Rates • Online surveys • Response rates less than desired Manfreda et. al (2008) & Shih & Fan (2008) • Research on college campuses • Gender, race/ethnicity, age, and academic achievement usually predictors Porter & Umbach, 2003; Sax, Gilmartin, & Bryant, 2003; Sax, Gilmartin, Lee, & Hegedorn, 2008

  3. Online Surveys at Marymount University • All except for Alumni • Advising • Course evaluations • Graduating (partial) • National Survey of Student Engagement (NSSE) • Student Satisfaction

  4. Research Question • Which student characteristics predict responding to all, some, or none of our online surveys?

  5. Our Study: Marymount University • Outside Washington, D.C. in Arlington, VA • Private not-for-profit, Catholic institution with approximately 3,600 students • Carnegie Classification: Master’s L • One-third of students from minority backgrounds • Students represent 42 states and 72 countries • About 2,000 Undergraduates • Undergraduates (Spring 2009) • Mostly full-time (83%) • Mostly female (73%) • Significant minority population (36%) • A majority commute (68%) • Almost half are transfer students

  6. Our Study: Sample • Seniors enrolled in Spring 2009 • Surveyed by the NSSE • n = 494

  7. Our Study: Sample • Does the sample represent the Senior population?

  8. Procedure • Track respondents to 3 surveys conducted in Spring 2009 • NSSE – 31% response rate • Advising – 19% response rate • Course evaluations – 50% response rate

  9. Analytical Approach • Logistic Regression • Dichotomous Dependent Variable • Participation in none of the surveys • Participation in one or two surveys • Participation in all three surveys

  10. Independent Variables • Gender • Race • Cumulative GPA • Academic School • Financial Aid Recipient • Residency* • Transfer Status*

  11. Results: Percent Completed Surveys

  12. Results: Percent Responded to Any Survey

  13. Results: Participation by Academic School

  14. Results: By Cumulative GPA

  15. Analytical Approach • Logistic Regression • Dichotomous Dependent Variable • Participation in none of the surveys • Participation in one or two surveys • Participation in all three surveys

  16. Results – Completed none • Significant Findings

  17. Results - Completing 1 or 2 Surveys • Significant Findings

  18. Results 3 - Completing 3 Surveys • Significant Findings

  19. Summary of Findings

  20. Conclusions • GPA and residency are consistent factors in response

  21. Conclusions • Other factors • Academic School • MU only students

  22. Recommendations • Concerning issues of non-response • Focus groups • Communications

  23. Limitations • External validity • Study conducted within the context of Marymount University • Freshmen, Sophomores, Juniors • Graduate students

  24. Contact us: cjones@marymount.edu amanalo@marymount.edu

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