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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...

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Autores principales: Henneberger, Angela K., Rose, Bess A., Feng, Yi, Johnson, Tessa, Register, Brennan, Stapleton, Laura M., Sweet, Tracy, Woolley, Michael E.
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
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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.
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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
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