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Predictors of students’ participation in a learning environment survey with annual follow-ups

BACKGROUND: Longitudinal research is one effective way to gauge changes in a student cohort over time, however attrition in these studies is typically high, which can result in study bias. This study explored learning environment factors, approaches to studying, and academic performance as predictor...

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Autores principales: DaLomba, Elaina, Gramstad, Astrid, Johnson, Susanne G., Carstensen, Tove, Stigen, Linda, Mørk, Gry, Magne, Trine A., Bonsaksen, Tore
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232400/
https://www.ncbi.nlm.nih.gov/pubmed/34170940
http://dx.doi.org/10.1371/journal.pone.0253773
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author DaLomba, Elaina
Gramstad, Astrid
Johnson, Susanne G.
Carstensen, Tove
Stigen, Linda
Mørk, Gry
Magne, Trine A.
Bonsaksen, Tore
author_facet DaLomba, Elaina
Gramstad, Astrid
Johnson, Susanne G.
Carstensen, Tove
Stigen, Linda
Mørk, Gry
Magne, Trine A.
Bonsaksen, Tore
author_sort DaLomba, Elaina
collection PubMed
description BACKGROUND: Longitudinal research is one effective way to gauge changes in a student cohort over time, however attrition in these studies is typically high, which can result in study bias. This study explored learning environment factors, approaches to studying, and academic performance as predictors of occupational therapy students’ consistent participation in data collection conducted over three years of their professional program. METHOD: A longitudinal study of Norwegian occupational therapy students (analyzed n = 240) was conducted. Logistic regression analysis was used to explore occupational therapy students’ perceptions of the learning environment, their approaches to studying, and exam grades as they related to the likelihood of consistent participation at three annual surveys. RESULTS: Annual response rates varied between 55.1%, and 65.6%, and consistent participation was observed among 49.2%. The fully adjusted regression models showed that higher strategic approach scores increased the odds of consistent participation (adjusted OR: 1.04, p < 0.01), whereas higher surface approach scores decreased the odds of consistent participation (adjusted OR: 0.95, p < 0.05). Neither sociodemographic factors, learning environment factors nor academic performance predicted participation over time. CONCLUSIONS: Researchers can anticipate relatively high levels of attrition in longitudinal studies of occupational therapy students, but attrition seems to be largely proportional between groups. However, completers in longitudinal studies may be somewhat more well-organized and academically oriented than drop-outs.
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spelling pubmed-82324002021-07-07 Predictors of students’ participation in a learning environment survey with annual follow-ups DaLomba, Elaina Gramstad, Astrid Johnson, Susanne G. Carstensen, Tove Stigen, Linda Mørk, Gry Magne, Trine A. Bonsaksen, Tore PLoS One Research Article BACKGROUND: Longitudinal research is one effective way to gauge changes in a student cohort over time, however attrition in these studies is typically high, which can result in study bias. This study explored learning environment factors, approaches to studying, and academic performance as predictors of occupational therapy students’ consistent participation in data collection conducted over three years of their professional program. METHOD: A longitudinal study of Norwegian occupational therapy students (analyzed n = 240) was conducted. Logistic regression analysis was used to explore occupational therapy students’ perceptions of the learning environment, their approaches to studying, and exam grades as they related to the likelihood of consistent participation at three annual surveys. RESULTS: Annual response rates varied between 55.1%, and 65.6%, and consistent participation was observed among 49.2%. The fully adjusted regression models showed that higher strategic approach scores increased the odds of consistent participation (adjusted OR: 1.04, p < 0.01), whereas higher surface approach scores decreased the odds of consistent participation (adjusted OR: 0.95, p < 0.05). Neither sociodemographic factors, learning environment factors nor academic performance predicted participation over time. CONCLUSIONS: Researchers can anticipate relatively high levels of attrition in longitudinal studies of occupational therapy students, but attrition seems to be largely proportional between groups. However, completers in longitudinal studies may be somewhat more well-organized and academically oriented than drop-outs. Public Library of Science 2021-06-25 /pmc/articles/PMC8232400/ /pubmed/34170940 http://dx.doi.org/10.1371/journal.pone.0253773 Text en © 2021 DaLomba et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
DaLomba, Elaina
Gramstad, Astrid
Johnson, Susanne G.
Carstensen, Tove
Stigen, Linda
Mørk, Gry
Magne, Trine A.
Bonsaksen, Tore
Predictors of students’ participation in a learning environment survey with annual follow-ups
title Predictors of students’ participation in a learning environment survey with annual follow-ups
title_full Predictors of students’ participation in a learning environment survey with annual follow-ups
title_fullStr Predictors of students’ participation in a learning environment survey with annual follow-ups
title_full_unstemmed Predictors of students’ participation in a learning environment survey with annual follow-ups
title_short Predictors of students’ participation in a learning environment survey with annual follow-ups
title_sort predictors of students’ participation in a learning environment survey with annual follow-ups
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8232400/
https://www.ncbi.nlm.nih.gov/pubmed/34170940
http://dx.doi.org/10.1371/journal.pone.0253773
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