Validation of the motivated strategies for learning questionnaire and instructional materials motivation survey.
Purpose: To validate the Motivated Strategies for Learning Questionnaire (MSLQ), which measures learner motivations; and the Instructional Materials Motivation Survey (IMMS), which measures the motivational properties of educational activities. Methods: Participants (333 pharmacists, physicians, and...
| Publicado en: | Medical Teacher Vol. 47; no. 4; pp. 635 - 646 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=183685197&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 183685197 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0142159X MCH jtl: Medical Teacher issn: 0142159X maglogo: Y pubinfo: dt: Apr2025 vid: 47 iid: 4 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 183685197 177506262 183685197 183685197 10.1080/0142159X.2024.2357278 183685197 ppf: 635 ppct: 11 formats: tig: atl: Validation of the motivated strategies for learning questionnaire and instructional materials motivation survey. aug: au: Cook, David A. Skrupky, Lee P. affil: Mayo Clinic College of Medicine and Science, and General Internal Medicine, Mayo Clinic, Rochester, MN, USA sug: subj: Instrument Validation Motivation Evaluation Learning Questionnaires Models, Educational Funding Source Human Male Female Pharmacists Physicians Random Sample Factor Analysis Coefficient alpha P-Value Data Analysis Software Descriptive Statistics Male Female ab: Purpose: To validate the Motivated Strategies for Learning Questionnaire (MSLQ), which measures learner motivations; and the Instructional Materials Motivation Survey (IMMS), which measures the motivational properties of educational activities. Methods: Participants (333 pharmacists, physicians, and advanced practice providers) completed the MSLQ, IMMS, Congruence-Personalization Questionnaire (CPQ), and a knowledge test immediately following an online learning module (April 2021). We randomly divided data for split-sample analysis using confirmatory factor analysis (CFA), exploratory factor analysis (EFA), and the multitrait-multimethod matrix. Results: Cronbach alpha was ≥0.70 for most domains. CFA using sample 1 demonstrated suboptimal fit for both instruments, including 3 negatively-worded IMMS items with particularly low loadings. Revised IMMS (RIMMS) scores (which omit negatively-worded items) demonstrated better fit. Guided by EFA, we identified a novel 3-domain, 11-item 'MSLQ-Short Form-Revised' (MSLQ-SFR, with domains: Interest, Self-efficacy, and Attribution) and the 4-domain, 12-item RIMMS as the best models. CFA using sample 2 confirmed good fit. Correlations among MSLQ-SFR, RIMMS, and CPQ scores aligned with predictions; correlations with knowledge scores were small. Conclusions: Original MSLQ and IMMS scores show poor model fit, with negatively-worded items notably divergent. Revised, shorter models—the MSLQ-SFR and RIMMS—show satisfactory model fit (internal structure) and relations with other variables. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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