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ERIC Number: ED499922
Record Type: Non-Journal
Publication Date: 2008-Jan
Pages: 24
Abstractor: ERIC
Reference Count: 16
Using Longitudinal Data to Increase Community College Student Success: A Guide to Measuring Milestone and Momentum Point Attainment. CCRC Research Tools No. 2
Leinbach, D. Timothy; Jenkins, Davis
Community College Research Center, Columbia University
Longitudinal student unit record (SUR) data can be used to answer many important questions about student progression. This guide shows researchers how to use longitudinal SUR data to identify different student groups among first-time community college students, calculate rates of attainment of milestones and momentum points for each group, and identify barriers to success for each group. The information from such an analysis can be used to identify college practices and student behaviors that are associated with successful outcomes, and it can inform the development of policies and practices that address barriers to achievement. Examples are presented from an analysis CCRC researchers conducted for the Washington State Board for Community and Technical Colleges. This guide is divided into three main sections. The first section, "Milestone Model Overview," provides a concise description and a simple yet powerful application of the model for measuring student achievement. The second section, "Milestone Model Details," presents a comprehensive discussion of the model using the Washington State data as an illustration. The third section, "Applications of the Milestone Model," contains a complete set of momentum point and milestone charts for different student groups. Sidebars throughout this guide describe how the researchers handled issues and challenges that arose when using longitudinal SUR data in the milestone and momentum point analysis that they conducted for the Washington SBCTC. Two additional sections of technical notes are included as appendices to help researchers replicate this work. "Technical Notes 1" presents findings from a multivariate regression analysis of the relationship between attaining momentum points and milestone achievements. "Technical Notes 2" discusses key considerations and decisions that need to be made when working with longitudinal data. This may be useful for those researchers who must select, extract, and prepare datasets for analysis. Topics include the minimum requirements of an SUR dataset for conducting analyses, cohort selection criteria, and the length of time over which to observe students. (Contains 5 tables, 24 figures, and 14 endnotes.)
Community College Research Center. Available from: CCRC Publications. Teachers College, Columbia University, 525 West 120th Street Box 174, New York, NY 10027. Tel: 212-678-3091; Fax: 212-678-3699; e-mail:; Web site:
Publication Type: Guides - Non-Classroom; Reports - Research
Education Level: Two Year Colleges
Audience: N/A
Language: English
Sponsor: Ford Foundation, New York, NY.; Lumina Foundation for Education, Indianapolis, IN.
Authoring Institution: Columbia Univ., New York, NY. Community Coll. Research Center.
Identifiers - Location: Washington