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      Providing Validation Evidence for a Clinical-Science Module: Improving Testing Reliability with Quizzes

      research-article
      , PharmD, PhD 1 , , PhD 2 , , PharmD 3
      Innovations in Pharmacy
      University of Minnesota Libraries Publishing
      validation, reliability, generalizability theory, quizzes

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          ABSTRACT

          Description of the Problem:

          High-stakes decision-making should have sound validation evidence; reliability is vital towards this. A short exam may not be very reliable on its own within didactic courses, and so supplementing it with quizzes might help. But how much? This study’s objective was to understand how much reliability (for the overall module-grades) could be gained by adding quiz data to traditional exam data in a clinical-science module.

          The Innovation:

          In didactic coursework, quizzes are a common instructional strategy. However, individual contexts/instructors can vary quiz use formatively and/or summatively. Second-year PharmD students took a clinical-science course, wherein a 5-week module focused on cardiovascular therapeutics. Generalizability Theory (G-Theory) combined seven quizzes leading to an exam into one module-level reliability, based on a model where students were crossed with items nested in eight fixed testing occasions (mGENOVA used). Furthermore, G-Theory decision-studies were planned to illustrate changes in module-grade reliability, where the number of quiz-items and relative-weighting of quizzes were altered.

          Critical Analysis:

          One-hundred students took seven quizzes and one exam. Individually, the exam had 32 multiple-choice questions (MCQ) (KR-20 reliability=0.67), while quizzes had a total of 50MCQ (5-9MCQ each) with most individual quiz KR-20s less than or equal to 0.54. After combining the quizzes and exam using G-Theory, estimated reliability of module-grades was 0.73; improved from the exam alone. Doubling the quiz-weight, from the syllabus’ 18% quizzes and 82% exam, increased the composite-reliability of module-grades to 0.77. Reliability of 0.80 was achieved with equal-weight for quizzes and exam.

          Next Steps:

          Expectedly, more items lent to higher reliability. However, using quizzes predominantly formatively had little impact on reliability, while using quizzes more summatively (i.e., increasing their relative-weight in module-grade) improved reliability further. Thus, depending on use, quizzes can add to a course’s rigor.

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          Most cited references9

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          • Book: not found

          Health Measurement Scales : A Practical Guide to Their Development and Use

          Clinicians and those in health sciences are frequently called upon to measure subjective states such as attitudes, feelings, quality of life, educational achievement and aptitude, and learning style in their patients. This fifth edition of Health Measurement Scales enables these groups to both develop scales to measure non-tangible health outcomes, and better evaluate and differentiate between existing tools.<br> <br> Health Measurement Scales is the ultimate guide to developing and validating measurement scales that are to be used in the health sciences. The book covers how the individual items are developed; various biases that can affect responses (e.g. social desirability, yea-saying, framing); various response options; how to select the best items in the set; how to combine them into a scale; and finally how to determine the reliability and validity of the scale. It concludes with a discussion of ethical issues that may be encountered, and guidelines for reporting the results of the scale development process. Appendices include a comprehensive guide to finding existing scales, and a brief introduction to exploratory and confirmatory factor analysis, making this book a must-read for any practitioner dealing with this kind of data.<br>
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            Test-enhanced learning in medical education.

            In education, tests are primarily used for assessment, thus permitting teachers to assess the efficacy of their curriculum and to assign grades. However, research in cognitive psychology has shown that tests can also directly affect learning by promoting better retention of information, a phenomenon known as the testing effect. Cognitive psychology laboratory studies show that repeated testing of information produces superior retention relative to repeated study, especially when testing is spaced out over time. Tests that require effortful retrieval of information, such as short-answer tests, promote better retention than tests that require recognition, such as multiple-choice tests. The mnemonic benefits of testing are further enhanced by feedback, which helps students to correct errors and confirm correct answers. Medical educational research has focused extensively on assessment issues. Such assessment research permits the conclusion that clinical expertise is founded on a broad fund of knowledge and effective memory networks that allow easy access to that knowledge. Test-enhanced learning can potentially strengthen clinical knowledge that will lead to improved expertise. Tests should be given often and spaced out in time to promote better retention of information. Questions that require effortful recall produce the greatest gains in memory. Feedback is crucial to learning from tests. Test-enhanced learning may be an effective tool for medical educators to use in promoting retention of clinical knowledge.
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              An active-learning strategies primer for achieving ability-based educational outcomes.

              Active learning is an important component of pharmacy education. By engaging students in the learning process, they are better able to apply the knowledge they gain. This paper describes evidence supporting the use of active-learning strategies in pharmacy education and also offers strategies for implementing active learning in pharmacy curricula in the classroom and during pharmacy practice experiences.
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                Author and article information

                Journal
                Innov Pharm
                Innov Pharm
                UMLP
                Innovations in Pharmacy
                University of Minnesota Libraries Publishing
                2155-0417
                26 February 2021
                2021
                : 12
                : 1
                : 10.24926/iip.v12i1.2235
                Affiliations
                [1 ]University of Toledo College of Pharmacy & Pharmaceutical Sciences
                [2 ]University of Alberta Faculty of Pharmacy & Pharmaceutical Sciences
                [3 ]Drake University College of Pharmacy
                Author notes
                Corresponding author: Michael J. Peeters, PharmD, PhD, University of Toledo College of Pharmacy & Pharmaceutical Sciences; Email: michael.peeters@ 123456utoledo.edu
                Article
                jUMLP.v12.i1.pg17
                10.24926/iip.v12i1.2235
                8102960
                e08504d2-965e-4f6c-b62a-e35e5299295f
                © Individual authors

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial License, which permits noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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                Education

                validation,reliability,generalizability theory,quizzes
                validation, reliability, generalizability theory, quizzes

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