The medical college admission test.
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The predictive validity of the new Medical College Admission Test as it relates to end-of-quarter examinations in anatomy, histology, physiology, biochemistry, and "ages of man" is presented. It is recognized that the maximum predictive power is attenuated by the reliability of the criterion variables. To determine the value of attempting to increase the reliability in the criteria, the authors corrected the validity coefficients for attenutation. Regression analyses were also undertaken to examine the extent to which the new MCAT subtests can predict scores on end-of-quarter examinations. Results indicate that the Science Knowledge assessment areas of chemistry and physics and the Science Problems subtest were the most useful in predicting student performance, followed by the Skills Analysis: Quantitative and Skills Analysis: Reading subtests and the biology area of the Science Knowledge subtest.
Our analysis of Medical College Admission Test subtest scores by writing hand preference and sex suggests that (a) right hemispheric dominance is associated with intellectual giftedness in verbal reasoning (left-handers obtained higher scores on the verbal reasoning test and were overrepresented in the upper tail of the distribution), (b) different patterns of brain lateralization are associated with different subcomponents of cognition (right-handers scored higher, on average, on the writing test and were overrepresented in the upper tail of the distribution), and (c) men generally score higher than women on tests of scientific knowledge (the most striking differences between men and women were on the biological and physical science tests).
The relationship of students' performance on the Developing Cognitive Abilities Test (DCAT), a test of scholastic aptitude, and their subsequent performance on the Medical College Admission Test (MCAT) were examined for 122 nontraditional premedical students who participated in a medical educational preparatory program. A stepwise multiple regression analysis produced moderate, though significant multiple correlations among subscores on the two tests. While there were a few exceptions, for the most part all of the subscores on the Developing Cognitive Abilities Test made a significant contribution to the regression equation in the prediction of scores on MCAT subtests. Implications for the value of the Developing Cognitive Abilities Test as an admissions tool as well as providing direction for possible intervention are discussed.
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OBJECTIVE: To examine the validity of Pharmacy College Admission Test (PCAT) scores for predicting grade point averages (GPAs) of students in years 1-4 of pharmacy programs. METHODS: Data were collected from 11 colleges and schools of pharmacy: entering cumulative and math/science GPAs, PCAT scaled scores, pharmacy program GPAs for years 1-4, student status after 4 years. Correlation, regression, discriminant, and diagnostic accuracy analyses were used to determine the validity of the PCAT for predicting subsequent GPAs. RESULTS: PCAT scaled scores and entering GPAs were positively correlated with subsequent GPAs. Regression analyses showed the predictive value of the PCAT scores, especially in combination with entering GPAs. Discriminant and diagnostic accuracy analyses supported these findings and provided practical suggestions regarding optimal PCAT scores for identifying students most likely to succeed. CONCLUSION: Both PCAT scaled scores and entering cumulative GPAs showed moderate to strong predictive validity as indicators of candidates likely to succeed in pharmacy school.
The predictive validity of the new Medical College Admission Test (MCAT) was examined using the criterion of residency performance. Two different measures of residency performance were used for three successive classes at one medical school: a locally developed, 5-criteria rating scale (n = 67) with the class of 1982 and an externally developed, 18-criteria rating scale (n = 102) with the classes of 1983 and 1984. Physician residency supervisors completed the criterion measure for the three classes. The finding of no statistically significant relationships between the new MCAT and residency performance supports the pattern which was found with the old MCAT and thus far has resulted with the new MCAT. Specifically, the MCAT decreases in predictive validity as the student progresses through and beyond medical school.
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The results of a predictive validity study of the new Medical College Admission Test (MCAT) using criteria from the clinical years of undergraduate medical education are presented and discussed. The criteria included course grades and faculty ratings of clerks in internal medicine, surgery, obstetrics and gynecology, pediatrics, and psychiatry; scores on a comprehensive test of clinical knowledge (including patient management type examinations); and scores on Part II of the examinations of the National Board of Medical Examiners (NBME). While the validity coefficients of the MCAT with the Part II examinations ranged from .03 to .47, they were higher than those of undergraduate grade-point averages with the same criteria. The implications of the small-to-medium size validity coefficients for admissions are discussed.
PURPOSE: Since the introduction of the revised Medical College Admission Test (MCAT(R)) in 1991, the Association of American Medical Colleges has been investigating the extent to which MCAT scores supplement the power of undergraduate grade point averages (uGPAs) to predict success in medical school. This report is a comprehensive summary of the relationships between MCAT scores and (1) medical school grades, (2) United States Medical Licensing Examination (USMLE) Step scores, and (3) academic distinction or difficulty. METHOD: This study followed two cohorts from entrance to medical school through residency. Students from 14 medical schools' 1992 and 1993 entering classes provided data for predicting medical school grades and academic difficulty/distinction, while their peers from all of the U.S. medical schools were used to predict performance on USMLE Steps 1, 2, and 3. Regression analyses assessed the predictive power of combinations of uGPAs, MCAT scores, and undergraduate-institution selectivity. RESULTS: Grades were best predicted by a combination of MCAT scores and uGPAs, with MCAT scores providing a substantial increment over uGPAs. MCAT scores were better predictors of USMLE Step scores than were uGPAs, and the combination did little better than MCAT scores alone. The probability of experiencing academic difficulty or distinction tended to vary with MCAT scores. MCAT scores were strong predictors of scores for all three Step examinations, particularly Step 1. CONCLUSIONS: MCAT scores almost double the proportion of variance in medical school grades explained by uGPAs, and essentially replace the need for uGPAs in their impressive prediction of Step scores. The MCAT performs well as an indicator of academic preparation for medical school, independent of the school-specific handicaps of uGPAs.
This report represents early information about the validity of the updated Medical College Admission Test (MCAT) battery introduced in 1991. Data are given on both the use of the new examination in the selection of medical students and its estimated predictive value for freshman students' performance. Admission officials from 114 institutions responded to a survey on medical school admission practices and on the use of MCAT data; also elicited were assessments of the examination in relation to its design and implementation objectives. Regression-based evaluations of the predictive validity of the MCAT, undergraduate grades, and of undergraduate selectivity data for first-year grades at 12 institutions are described. Survey responses suggest that MCAT data are viewed in relation to the varied information needs of admission decision making and are supplemented by other academic and nonacademic information in selection. The new battery generally is judged favorably by admission officials. Predictive validity results reflect the usefulness of MCAT scores, undergraduate grades, and selectivity data for identifying individuals apt to succeed in medical school. The authors conclude that preliminary information about the results of the new examination is encouraging. The members of the MCAT Validity Studies Advisory Group, who assisted the authors in framing and conducting the research presented in this report, continue their research and deliberations about the use, utility, and impact of the updated MCAT.
BACKGROUND: To investigate the predictive validity of the Medical College Admission Test (MCAT) for clinical reasoning skills upon completion of medical school. METHOD: A total of 597 students (295 males, 49.4%; 302 females, 50.6%) participated from 1991 to 1999. Stepwise multiple regressions of the MCAT and premedical school GPA (independent variables) on the Part 1(declarative knowledge) and Part 2 (clinical reasoning) of the Medical Council of Canada Examinations (dependent variables) were employed. RESULTS: For Part 1, the multiple regression revealed that three predictors (verbal reasoning, biological sciences, GPA) accounted for 23.3% of the variance, and for Part 2, two predictors (verbal reasoning, GPA) accounted for 11.2%. CONCLUSION: There is both convergent and divergent evidence for the predictive validity of the MCAT for clinical reasoning.
The attrition rate of 5% to 50% from US medical schools in the 1920s propelled the development of a test that would measure aptitude for medical studies. Since its development in 1928, the Medical College Admission Test (MCAT) has undergone 5 revisions. The first version was divided into 6 to 8 subtests that focused on memory, knowledge of scientific terminology, reading and comprehension, and logic. The second, which appeared in 1946, was reduced to 4 categories: verbal and quantitative skills, science knowledge, and added a category called understanding modern society. The major difference in the third version, launched in 1962, expanded the test's understanding modern society section to a broader test of general information. In 1977, the MCAT underwent its fourth change: its science section, reading and quantitative skill assessment sections were expanded; its general liberal arts knowledge section was eliminated; its scoring report structure and scoring range were altered; and its cultural and social bias was minimized. The current version, beginning in 1991, has undergone another significant change. Although it does not contain independent measures of either liberal arts or numeracy as separate categories, quantitative skills are needed to solve some of the problems in biological and physical sciences. However, its principal innovation is the writing sample section. Through its 74-year history, the various renditions of the MCAT demonstrate that the definition of aptitude for medical education reflects the professional and social mores and values of the time.
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Despite the amount of published research on the predictive validity of the Medical College Admissions Test (MCAT) taken as a whole, few published reports separate the individual predictive validity of the Writing Sample. The purpose of this study is to provide data on the predictive validity of the Writing Sample for the national licensing exam used in the United States. Subjects consisted of 1992-1995 matriculants from a publicly owned medical school in the Southeastern United States. Independent variables were undergraduate grade point average, and four section scores on a required admissions test (Biological Sciences, Physical Sciences, Verbal Reasoning, and Writing Sample). The dependent variables were Steps 1 and 2 on the three step licensing examination. Steps 1 and 2 of the examination are taken during medical school. Multiple regression models calculated additional variance accounted for by the addition of the Writing Sample to a model containing grade point average and the other admissions test section scores. In multivariate analyses, when grade point average and all admissions test scores were considered as predictors of licensing exam scores, the Writing Sample variable did not add to the ability to predicting the Step 1 or Step 2 scores. The results of this study suggest that the Writing Sample has limited predictive validity for assessing success on a national licensing exam. However, as others suggest, the value of the Writing Sample and other surrogates of communication probably lie in predicting performance in the clinical years of medical school and beyond. Additional work should include evaluating the predictive validity of the Writing Sample and other pre-medical school measures of communication with widely acceptable measures of performance in clinical settings, including physician-patient communication.
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