| Title: |
Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland |
| Language: |
English |
| Authors: |
Henneberger, Angela K. (ORCID 0000-0002-0068-9691); Rose, Bess A.; Feng, Yi; Johnson, Tessa; Register, Brennan; Stapleton, Laura M.; Sweet, Tracy; Woolley, Michael E. |
| Source: |
Prevention Science. Jul 2023 24(5):1035-1045. |
| Availability: |
Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: customerservice@springernature.com; Web site: https://link.springer.com/ |
| Peer Reviewed: |
Y |
| Page Count: |
11 |
| Publication Date: |
2023 |
| Sponsoring Agency: |
Institute of Education Sciences (ED) |
| Contract Number: |
R372A150045 |
| Intended Audience: |
Researchers |
| Document Type: |
Journal Articles; Reports - Research |
| Education Level: |
Elementary Secondary Education; Postsecondary Education |
| Descriptors: |
Student Attrition; Prevention; Data; Elementary Secondary Education; Expectation; Postsecondary Education; Incidence |
| Geographic Terms: |
Maryland |
| DOI: |
10.1007/s11121-023-01533-1 |
| ISSN: |
1389-4986; 1573-6695 |
| Abstract: |
Attrition is a critical concern for evaluating the rigor of prevention studies, and the current study provides rates of attrition for subgroups of students and schools who are often sampled for prevention science. This is the first study to provide practical guidance for expected rates of attrition using population-level statewide data; findings indicated that researchers using K-12 school-based samples should plan for attrition rates as high as 27% during middle school and 54% during elementary school. However, researchers should consider the grade levels initially sampled, the length of follow-up, and the specific student characteristics and schools available for sampling. Postsecondary attrition ranged from 45% for bachelor's degree seekers to 73% for associate degree seekers. This practical guidance can help researchers to proactively plan for attrition in the study design phase, limiting bias and increasing the validity of prevention studies. |
| Abstractor: |
As Provided |
| IES Funded: |
Yes |
| Entry Date: |
2023 |
| Accession Number: |
EJ1388415 |
| Database: |
ERIC |