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ERIC Number: ED669886
Record Type: Non-Journal
Publication Date: 2024
Pages: N/A
Abstractor: As Provided
ISBN: 978-1-5296-8351-6
ISSN: N/A
EISSN: N/A
Available Date: 2024-01-20
Using Nearest Neighbor Propensity Score Matching to Estimate the Effects of Dual Enrollment Location. Sage Research Methods Cases Part 1
Grant Clayton; Joseph Taylor
Sage Research Methods Cases
In the United States high school students may take college level courses that count for credit in both high school and college, often called dual enrollment. Students may take courses at their high school from certified instructors or at a local college. We investigate possible differences between these two groups of students using student level data from Colorado. To improve the quality of the comparisons we use propensity score matching to produce like groups and compare grades and credit hours earned at three time points. We utilize this case study to assist readers in considering about when to use propensity score matching, approaches to matching including types of matches, tests for quality of matches, and robustness of results. Specifically, we provide a case study using nearest neighbor matching on a large dataset. [This content is provided in the format of an e-book.]
Sage Research Methods Cases. 2455 Teller Road Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; Web site: https://methods-sagepub-com.bibliotheek.ehb.be/Cases
Publication Type: Books; Non-Print Media; Reports - Research
Education Level: High Schools; Secondary Education; Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Colorado
Grant or Contract Numbers: N/A
Author Affiliations: N/A