Cargando…
Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland
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...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409654/ https://www.ncbi.nlm.nih.gov/pubmed/37195597 http://dx.doi.org/10.1007/s11121-023-01533-1 |
_version_ | 1785086290663833600 |
---|---|
author | Henneberger, Angela K. Rose, Bess A. Feng, Yi Johnson, Tessa Register, Brennan Stapleton, Laura M. Sweet, Tracy Woolley, Michael E. |
author_facet | Henneberger, Angela K. Rose, Bess A. Feng, Yi Johnson, Tessa Register, Brennan Stapleton, Laura M. Sweet, Tracy Woolley, Michael E. |
author_sort | Henneberger, Angela K. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11121-023-01533-1. |
format | Online Article Text |
id | pubmed-10409654 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-104096542023-08-10 Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland Henneberger, Angela K. Rose, Bess A. Feng, Yi Johnson, Tessa Register, Brennan Stapleton, Laura M. Sweet, Tracy Woolley, Michael E. Prev Sci Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11121-023-01533-1. Springer US 2023-05-17 2023 /pmc/articles/PMC10409654/ /pubmed/37195597 http://dx.doi.org/10.1007/s11121-023-01533-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Henneberger, Angela K. Rose, Bess A. Feng, Yi Johnson, Tessa Register, Brennan Stapleton, Laura M. Sweet, Tracy Woolley, Michael E. Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland |
title | Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland |
title_full | Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland |
title_fullStr | Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland |
title_full_unstemmed | Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland |
title_short | Estimating Student Attrition in School-Based Prevention Studies: Guidance from State Longitudinal Data in Maryland |
title_sort | estimating student attrition in school-based prevention studies: guidance from state longitudinal data in maryland |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10409654/ https://www.ncbi.nlm.nih.gov/pubmed/37195597 http://dx.doi.org/10.1007/s11121-023-01533-1 |
work_keys_str_mv | AT hennebergerangelak estimatingstudentattritioninschoolbasedpreventionstudiesguidancefromstatelongitudinaldatainmaryland AT rosebessa estimatingstudentattritioninschoolbasedpreventionstudiesguidancefromstatelongitudinaldatainmaryland AT fengyi estimatingstudentattritioninschoolbasedpreventionstudiesguidancefromstatelongitudinaldatainmaryland AT johnsontessa estimatingstudentattritioninschoolbasedpreventionstudiesguidancefromstatelongitudinaldatainmaryland AT registerbrennan estimatingstudentattritioninschoolbasedpreventionstudiesguidancefromstatelongitudinaldatainmaryland AT stapletonlauram estimatingstudentattritioninschoolbasedpreventionstudiesguidancefromstatelongitudinaldatainmaryland AT sweettracy estimatingstudentattritioninschoolbasedpreventionstudiesguidancefromstatelongitudinaldatainmaryland AT woolleymichaele estimatingstudentattritioninschoolbasedpreventionstudiesguidancefromstatelongitudinaldatainmaryland |