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Missing Data Imputation Method Comparison in Ohio University Student Retention Database

Hening, Dyah A.
http://orcid.org/0000-0002-8206-9698
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1256491596

Abstract Details

2009, Master of Science (MS), Ohio University, Industrial and Systems Engineering (Engineering and Technology).
Ohio University has been conducting research on first-year-student retention to prevent dropouts (OU Office of Institutional Research, First-Year Students Retention, 2008). Yet, the data sets have more than 20% of missing values, which can lead to bias in prediction. Missing data affects on the ability to generalize results to the target population. This study categorizes the missing data in variables into one of three types of missing data: missing completely at random (MCAR), missing at random (MAR), or missing not at random (MNAR). After the missing data is identified, the proper method of handling it is discussed. The proposed method is validated through developed and tested models. The goal of this work is to explore the methods of imputation missing data, and apply them to the Ohio University student retention dataset.
David Koonce, PhD (Advisor)
Dusan Sormaz, PhD (Committee Member)
Diana Schwerha, PhD (Committee Member)
Valerie Conley, PhD (Committee Member)
74 p.
Higher Education; Industrial Engineering
Data Imputation; Missing data; MNAR; MCAR; MAR; student retention

Recommended Citations

Citations

  • Hening, D. A. (2009). Missing Data Imputation Method Comparison in Ohio University Student Retention Database [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1256491596

    APA Style (7th edition)

  • Hening, Dyah. Missing Data Imputation Method Comparison in Ohio University Student Retention Database. 2009. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1256491596.

    MLA Style (8th edition)

  • Hening, Dyah. "Missing Data Imputation Method Comparison in Ohio University Student Retention Database." Master's thesis, Ohio University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1256491596

    Chicago Manual of Style (17th edition)

ohiou1256491596
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© 2009, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.