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Direct linkHatala, Rose; Gutman, Jacqueline; Lineberry, Matthew; Triola, Marc; Pusic, Martin – Advances in Health Sciences Education, 2019
Learning curves can support a competency-based approach to assessment for learning. When interpreting repeated assessment data displayed as learning curves, a key assessment question is: "How well is each learner learning?" We outline the validity argument and investigation relevant to this question, for a computer-based repeated…
Descriptors: Medicine, Metabolism, Physicians, Clinical Diagnosis
Lucieer, Susanna M.; Stegers-Jager, Karen M.; Rikers, Remy M. J. P.; Themmen, Axel P. N. – Advances in Health Sciences Education, 2016
Medical schools all over the world select applicants using non-cognitive and cognitive criteria. The predictive value of these different types of selection criteria has however never been investigated within the same curriculum while using a control group. We therefore set up a study that enabled us to compare the academic performance of three…
Descriptors: Medical Schools, Medical Students, Selective Admission, Admission Criteria
Schneid, Stephen D.; Apperson, April; Laiken, Nora; Mandel, Jess; Kelly, Carolyn J.; Brandl, Katharina – Advances in Health Sciences Education, 2018
Medical schools with a diverse student body face the challenge of ensuring that all students succeed academically. Many medical schools have implemented prematriculation programs to prepare students from diverse backgrounds; however, evidence on their impact is largely lacking. In this study, we analyzed participants' demographics as well as the…
Descriptors: Medical Schools, Summer Science Programs, Guidance Programs, Demography
Song, Hyuksoon S.; Kalet, Adina L.; Plass, Jan L. – Advances in Health Sciences Education, 2011
We developed a Self-Regulation Measure for Computer-based learning (SRMC) tailored toward medical students, by modifying Zimmerman's Self-Regulated Learning Interview Schedule (SRLIS) for K-12 learners. The SRMC's reliability and validity were examined in 2 studies. In Study 1, 109 first-year medical students were asked to complete the SRMC.…
Descriptors: Medical Students, Student Evaluation, Self Control, Computer Assisted Instruction
Al Alwan, I.; Al Kushi, M.; Tamim, H.; Magzoub, M.; Elzubeir, M. – Advances in Health Sciences Education, 2013
High School, Aptitude and Achievement Tests have been utilized since 2002 in Saudi Arabia for the purpose of student selection to health sciences and medical colleges. However, longitudinal studies determining the predictive validity of these so-called cognitive tests for in-course performance is lacking. Our aim was to assess the predictive…
Descriptors: Foreign Countries, Health Sciences, Medical Schools, Medical Students
Shulruf, Boaz; Poole, Phillippa; Wang, Grace Ying; Rudland, Joy; Wilkinson, Tim – Advances in Health Sciences Education, 2012
The choice of tools with which to select medical students is complex and controversial. This study aimed to identify the extent to which scores on each of three admission tools (Admission GPA, UMAT and structured interview) predicted the outcomes of the first major clinical year (Y4) of a 6 year medical programme. Data from three student cohorts…
Descriptors: Medical Students, Medical Schools, Clinical Teaching (Health Professions), Structured Interviews
Johnson, Craig W.; Johnson, Ronald; McKee, John C.; Kim, Mira – Advances in Health Sciences Education, 2009
In the first predictive validity study of a diagnostic and prescriptive instrument for averting adverse academic status events (AASE) among multiple populations of diverse health science professions students, entering matriculates' personal background and preparation survey (PBPS) scores consistently significantly predicted 1st- or 2nd-year AASE.…
Descriptors: At Risk Students, Academic Achievement, Student Surveys, Identification
Trail, Carla; Reiter, Harold I.; Bridge, Michelle; Stefanowska, Patricia; Schmuck, Marylou; Norman, Geoff – Advances in Health Sciences Education, 2008
A consistent finding from many reviews is that undergraduate Grade Point Average (uGPA) is a key predictor of academic success in medical school. Curiously, while uGPA has established predictive validity, little is known about its reliability. For a variety of reasons, medical schools use different weighting schemas to combine years of study.…
Descriptors: Undergraduate Study, Grade Point Average, Predictor Variables, Academic Achievement
McLaughlin, Kevin; Coderre, Sylvain; Woloschuk, Wayne; Mandin, Henry – Advances in Health Sciences Education, 2005
Context: A major goal of any evaluation is to demonstrate content validity, which considers both curricular content as well as the ability expected of learners. Whether evaluation blueprints should be published and the degree of blueprint transparency is controversial. Objectives: To examine the effect of blueprint publication on students'…
Descriptors: Student Attitudes, Course Objectives, Course Evaluation, Content Validity
White, Casey B.; Dey, Eric L.; Fantone, Joseph C. – Advances in Health Sciences Education, 2009
Academic achievement indices including GPAs and MCAT scores are used to predict the spectrum of medical student academic performance types. However, use of these measures ignores two changes influencing medical school admissions: student diversity and affirmative action, and an increased focus on communication skills. To determine if GPA and MCAT…
Descriptors: Medical Students, Search Committees (Personnel), Grade Point Average, Medical Schools
Basco, William T., Jr.; Lancaster, Carol J.; Gilbert, Gregory E.; Carey, Maura E.; Blue, Amy V. – Advances in Health Sciences Education, 2008
Background and purpose: Data supporting the predictive validity of the medical school admission interview are mixed. This study tested the hypothesis that the admission interview is predictive of interpersonal interactions between medical students and standardized patients. Method: We determined correlations between admission interview scores and…
Descriptors: Check Lists, Medical Education, Medical Students, Medical Schools
Sobral, Dejano T. – Advances in Health Sciences Education, 2005
The aims of this paper are to examine the measurement properties of the Reflection-in-Learning Scale (RLS) and to identify whether there are relationships between RLS scores early in the medical program and outcomes of the students' academic activity later on. The 14-item RLS was administered to second-year students (N=275) at start and at end of…
Descriptors: Medical Education, Medical Students, Self Efficacy, Construct Validity
