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Measuring the Master Adaptive Learner: Development and validity evidence for a revised instrument.

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Title: Measuring the Master Adaptive Learner: Development and validity evidence for a revised instrument.
Authors: Santen, Sally A.1 (AUTHOR) santensa@ucmail.uc.edu, Funk, Adam2 (AUTHOR), Feldman, Moshe1 (AUTHOR), Ginzburg, Samara B.3 (AUTHOR), Ryan, Michael S.4 (AUTHOR), Cutrer, William B.5 (AUTHOR), Deiorio, Nicole M.1 (AUTHOR), Wolff, Margaret6 (AUTHOR), Pusic, Martin7 (AUTHOR), Perera, Robert A.8 (AUTHOR)
Source: Medical Teacher. Feb2026, Vol. 48 Issue 2, p273-279. 7p.
Subject Terms: *Psychological resilience, *Philosophy of education, *Research methodology evaluation, *Experimental design, *Motivation (Psychology), *Research methodology, *Ability, *Learning strategies, *Factor analysis, *Training, Cross-sectional method, Research funding, Surveys, Confidence intervals, Data analysis software
Abstract: Purpose: The Master Adaptive Learner (MAL) is a model describing the collective skills of planning, learning, assessing, and adjusting that may translate into continually improving clinical proficiency. The objective of this study was to develop a MAL assessment instrument to measure these skills. Method: 1,427 students completed the 36-item candidate MAL instrument. The authors performed exploratory factor analysis (EFA) on half of the dataset. The factors and items were determined by eigenvalues, structure, parsimony, and theoretical considerations. Once an appropriate factor structure was identified, confirmatory factor analysis (CFA) was used on the second dataset to confirm results and the global fit. Results: The final CFA model consisted of four factors: two items in a resilience factor subscale, eight items in a MAL factor subscale, three items in a curiosity/exploration factor subscale, and three items in a motivation/mindset/challenge factor subscale. This model's scaled global fit statistics fit moderately well (CFI = 0.961, RMSEA = 0.041 (0.035, 0.047), SRMR = 0.037), indicating this was an adequate model. Discussion: The resultant MAL instrument demonstrated sufficient internal structure validity evidence. The instrument may be useful for a variety of applications including assessment of practice-based learning competencies, coaching, and remediation activities. [ABSTRACT FROM AUTHOR]
Copyright of Medical Teacher is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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PubType: Academic Journal
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  Data: Measuring the Master Adaptive Learner: Development and validity evidence for a revised instrument.
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  Data: <searchLink fieldCode="AR" term="%22Santen%2C+Sally+A%2E%22">Santen, Sally A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> santensa@ucmail.uc.edu</i><br /><searchLink fieldCode="AR" term="%22Funk%2C+Adam%22">Funk, Adam</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Feldman%2C+Moshe%22">Feldman, Moshe</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ginzburg%2C+Samara+B%2E%22">Ginzburg, Samara B.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ryan%2C+Michael+S%2E%22">Ryan, Michael S.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cutrer%2C+William+B%2E%22">Cutrer, William B.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deiorio%2C+Nicole+M%2E%22">Deiorio, Nicole M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wolff%2C+Margaret%22">Wolff, Margaret</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pusic%2C+Martin%22">Pusic, Martin</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Perera%2C+Robert+A%2E%22">Perera, Robert A.</searchLink><relatesTo>8</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Medical+Teacher%22">Medical Teacher</searchLink>. Feb2026, Vol. 48 Issue 2, p273-279. 7p.
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  Data: *<searchLink fieldCode="DE" term="%22Psychological+resilience%22">Psychological resilience</searchLink><br />*<searchLink fieldCode="DE" term="%22Philosophy+of+education%22">Philosophy of education</searchLink><br />*<searchLink fieldCode="DE" term="%22Research+methodology+evaluation%22">Research methodology evaluation</searchLink><br />*<searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br />*<searchLink fieldCode="DE" term="%22Motivation+%28Psychology%29%22">Motivation (Psychology)</searchLink><br />*<searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br />*<searchLink fieldCode="DE" term="%22Ability%22">Ability</searchLink><br />*<searchLink fieldCode="DE" term="%22Learning+strategies%22">Learning strategies</searchLink><br />*<searchLink fieldCode="DE" term="%22Factor+analysis%22">Factor analysis</searchLink><br />*<searchLink fieldCode="DE" term="%22Training%22">Training</searchLink><br /><searchLink fieldCode="DE" term="%22Cross-sectional+method%22">Cross-sectional method</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Surveys%22">Surveys</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: The Master Adaptive Learner (MAL) is a model describing the collective skills of planning, learning, assessing, and adjusting that may translate into continually improving clinical proficiency. The objective of this study was to develop a MAL assessment instrument to measure these skills. Method: 1,427 students completed the 36-item candidate MAL instrument. The authors performed exploratory factor analysis (EFA) on half of the dataset. The factors and items were determined by eigenvalues, structure, parsimony, and theoretical considerations. Once an appropriate factor structure was identified, confirmatory factor analysis (CFA) was used on the second dataset to confirm results and the global fit. Results: The final CFA model consisted of four factors: two items in a resilience factor subscale, eight items in a MAL factor subscale, three items in a curiosity/exploration factor subscale, and three items in a motivation/mindset/challenge factor subscale. This model's scaled global fit statistics fit moderately well (CFI = 0.961, RMSEA = 0.041 (0.035, 0.047), SRMR = 0.037), indicating this was an adequate model. Discussion: The resultant MAL instrument demonstrated sufficient internal structure validity evidence. The instrument may be useful for a variety of applications including assessment of practice-based learning competencies, coaching, and remediation activities. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Medical Teacher is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1080/0142159X.2025.2536152
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 273
    Subjects:
      – SubjectFull: Psychological resilience
        Type: general
      – SubjectFull: Philosophy of education
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      – SubjectFull: Research methodology evaluation
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      – SubjectFull: Experimental design
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      – SubjectFull: Motivation (Psychology)
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      – SubjectFull: Research methodology
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      – SubjectFull: Ability
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      – SubjectFull: Learning strategies
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      – SubjectFull: Data analysis software
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      – TitleFull: Measuring the Master Adaptive Learner: Development and validity evidence for a revised instrument.
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              Text: Feb2026
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