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Measuring the Master Adaptive Learner: Development and Internal Structure Validity Evidence for a New Instrument

BACKGROUND: The master adaptive learner (MAL) uses self-regulated learning skills to develop adaptive, efficient, and accurate skills in practice. Given rapid changes in healthcare, it is essential that medical students develop into MALs. There is a need for an instrument that can capture MAL behavi...

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Autores principales: Stringer, J. K., Gruppen, Larry D., Ryan, Michael S., Ginzburg, Samara B., Cutrer, William B., Wolff, Margaret, Santen, Sally A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8726526/
https://www.ncbi.nlm.nih.gov/pubmed/35003878
http://dx.doi.org/10.1007/s40670-021-01491-9
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author Stringer, J. K.
Gruppen, Larry D.
Ryan, Michael S.
Ginzburg, Samara B.
Cutrer, William B.
Wolff, Margaret
Santen, Sally A.
author_facet Stringer, J. K.
Gruppen, Larry D.
Ryan, Michael S.
Ginzburg, Samara B.
Cutrer, William B.
Wolff, Margaret
Santen, Sally A.
author_sort Stringer, J. K.
collection PubMed
description BACKGROUND: The master adaptive learner (MAL) uses self-regulated learning skills to develop adaptive, efficient, and accurate skills in practice. Given rapid changes in healthcare, it is essential that medical students develop into MALs. There is a need for an instrument that can capture MAL behaviors and characteristics. The objective of this study was to develop an instrument for measuring the MAL process in medical students and evaluate its psychometric properties. METHODS: As part of curriculum evaluation, 818 students completed previously developed instruments with validity evidence including the Self-Regulated Learning Perception Scale, Brief Resilience Scale, Goal Orientation Scale, and Jefferson Scale of Physician Lifelong Learning. The authors performed exploratory factor analysis to examine underlying relationships between items. Items with high factor loadings were retained. Cronbach’s alpha was computed. In parallel, the multi-institutional research team rated the same items to provide content validity evidence of the items to MAL model. RESULTS: The original 67 items were reduced to 28 items loading onto four factors: Planning, Learning, Resilience, and Motivation. Each subscale included the following number of items and Cronbach’s alpha: Planning (10 items, alpha = 0.88), Learning (6 items, alpha = 0.81), Resilience (6 items, alpha = 0.89), and Motivation (6 items, alpha = 0.81). The findings from the factor analyses aligned with the research team ratings of linkage to the components of MAL. CONCLUSION: These findings serve as a starting point for future work measuring master adaptive learning to identify and support learners. To fully measure the MAL construct, additional items may need to be developed.
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spelling pubmed-87265262022-01-05 Measuring the Master Adaptive Learner: Development and Internal Structure Validity Evidence for a New Instrument Stringer, J. K. Gruppen, Larry D. Ryan, Michael S. Ginzburg, Samara B. Cutrer, William B. Wolff, Margaret Santen, Sally A. Med Sci Educ Original Research BACKGROUND: The master adaptive learner (MAL) uses self-regulated learning skills to develop adaptive, efficient, and accurate skills in practice. Given rapid changes in healthcare, it is essential that medical students develop into MALs. There is a need for an instrument that can capture MAL behaviors and characteristics. The objective of this study was to develop an instrument for measuring the MAL process in medical students and evaluate its psychometric properties. METHODS: As part of curriculum evaluation, 818 students completed previously developed instruments with validity evidence including the Self-Regulated Learning Perception Scale, Brief Resilience Scale, Goal Orientation Scale, and Jefferson Scale of Physician Lifelong Learning. The authors performed exploratory factor analysis to examine underlying relationships between items. Items with high factor loadings were retained. Cronbach’s alpha was computed. In parallel, the multi-institutional research team rated the same items to provide content validity evidence of the items to MAL model. RESULTS: The original 67 items were reduced to 28 items loading onto four factors: Planning, Learning, Resilience, and Motivation. Each subscale included the following number of items and Cronbach’s alpha: Planning (10 items, alpha = 0.88), Learning (6 items, alpha = 0.81), Resilience (6 items, alpha = 0.89), and Motivation (6 items, alpha = 0.81). The findings from the factor analyses aligned with the research team ratings of linkage to the components of MAL. CONCLUSION: These findings serve as a starting point for future work measuring master adaptive learning to identify and support learners. To fully measure the MAL construct, additional items may need to be developed. Springer US 2022-01-04 /pmc/articles/PMC8726526/ /pubmed/35003878 http://dx.doi.org/10.1007/s40670-021-01491-9 Text en © The Author(s) under exclusive licence to International Association of Medical Science Educators 2021
spellingShingle Original Research
Stringer, J. K.
Gruppen, Larry D.
Ryan, Michael S.
Ginzburg, Samara B.
Cutrer, William B.
Wolff, Margaret
Santen, Sally A.
Measuring the Master Adaptive Learner: Development and Internal Structure Validity Evidence for a New Instrument
title Measuring the Master Adaptive Learner: Development and Internal Structure Validity Evidence for a New Instrument
title_full Measuring the Master Adaptive Learner: Development and Internal Structure Validity Evidence for a New Instrument
title_fullStr Measuring the Master Adaptive Learner: Development and Internal Structure Validity Evidence for a New Instrument
title_full_unstemmed Measuring the Master Adaptive Learner: Development and Internal Structure Validity Evidence for a New Instrument
title_short Measuring the Master Adaptive Learner: Development and Internal Structure Validity Evidence for a New Instrument
title_sort measuring the master adaptive learner: development and internal structure validity evidence for a new instrument
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8726526/
https://www.ncbi.nlm.nih.gov/pubmed/35003878
http://dx.doi.org/10.1007/s40670-021-01491-9
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