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Working with Missing Data in Higher Education Research

Title: Working with Missing Data in Higher Education Research: A Primer in Real-World Example.
Name(s): Cox, Bradley E., author
McIntosh, Kadian, author
Reason, Robert, author
Terenzini, Patrick T., author
Type of Resource: text
Genre: Text
Issuance: serial
Date Issued: 2014
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Nearly all quantitative analyses in higher education draw from incomplete datasets--a common problem with no universal solution. In the first part of this paper, we explain why missing data matter and outline the advantages and disadvantages of six common methods for handling missing data. Next, we analyze real-world data from 5,905 students across 33 institutions to document how one's approach to handling missing data can substantially affect statistical conclusions, researcher interpretations, and subsequent implications for policy and practice. We conclude with straightforward suggestions for higher education researchers looking to select an appropriate method for handling missing data.
Identifier: FSU_migr_edlp_faculty_publications-0019 (IID)
Citation: Cox, B. E., McIntosh, K. L., Reason, R. D., and Terenzini, P. T. Working with missing data in higher education research: A primer and real-world example. Review of Higher Education 37.3 (2014), 377-402.
Subject(s): Educational leadership
Persistent Link to This Record:
Owner Institution: FSU
Is Part of Series: Department of Educational Leadership and Policy Studies.
Is Part Of: Review of Higher Education.
Issue: 3, 37

Choose the citation style.
Cox, B. E., McIntosh, K., Reason, R., & Terenzini, P. T. (2014). Working with Missing Data in Higher Education Research: A Primer in Real-World Example. Review Of Higher Education. Retrieved from