Using nearest neighbor propensity score matching to estimate the effects of dual enrollment location /
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 t...
| Main Authors: | , |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd,
2024.
|
| Series: | SAGE research method cases.
|
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
|---|---|
| Physical Description: | 1 online resource : illustrations. |
| ISBN: | 9781529683516 1529683513 |