scholarly journals Relationship Between Standardized Test Scores and Board Certification Exams in a Combined Internal Medicine/Pediatrics Residency Program

Cureus ◽  
2021 ◽  
Author(s):  
Shelley R Ost ◽  
Daniel Wells ◽  
Patricia J Goedecke ◽  
Elizabeth A Tolley ◽  
Michael Kleinman ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Residency Program ◽  
Test Scores ◽  
Standardized Test ◽  
Board Certification ◽  
Standardized Test Scores ◽  
Certification Exams

scholarly journals USMLE Step 2 CK: Best Predictor of Multimodal Performance in an Internal Medicine Residency

2019 ◽  
Vol 11 (4) ◽  
pp. 412-419 ◽  
Author(s):  
Akshita Sharma ◽  
Daniel P. Schauer ◽  
Matthew Kelleher ◽  
Benjamin Kinnear ◽  
Dana Sall ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Standardized Testing ◽  
Test Scores ◽  
Standardized Test ◽  
Standardized Test Scores ◽  
Advanced Degree ◽  
Patient Level ◽  
Application Service ◽  
Broad Array ◽  
Usmle Step

ABSTRACT Background Internal medicine (IM) residency programs receive information about applicants via academic transcripts, but studies demonstrate wide variability in satisfaction with and usefulness of this information. In addition, many studies compare application materials to only 1 or 2 assessment metrics, usually standardized test scores and work-based observational faculty assessments. Objective We sought to determine which application materials best predict performance across a broad array of residency assessment outcomes generated by standardized testing and a yearlong IM residency ambulatory long block. Methods In 2019, we analyzed available Electronic Residency Application Service data for 167 categorical IM residents, including advanced degree status, research experience, failures during medical school, undergraduate medical education award status, and United States Medical Licensing Examination (USMLE) scores. We compared these with post-match residency multimodal performance, including standardized test scores and faculty member, peer, allied health professional, and patient-level assessment measures. Results In multivariate analyses, USMLE Step 2 Clinical Knowledge (CK) scores were most predictive of performance across all residency performance domains measured. Having an advanced degree was associated with higher patient-level assessments (eg, physician listens, physician explains, etc). USMLE Step 1 scores were associated with in-training examination scores only. None of the other measured application materials predicted performance. Conclusions USMLE Step 2 CK scores were the highest predictors of residency performance across a broad array of performance measurements generated by standardized testing and an IM residency ambulatory long block.

scholarly journals Pediatric Residents' Learning Styles and Temperaments and Their Relationships to Standardized Test Scores

2011 ◽  
Vol 3 (4) ◽  
pp. 566-570 ◽  
Author(s):  
Sanjeev Y. Tuli ◽  
Lindsay A. Thompson ◽  
Heidi Saliba ◽  
Erik W. Black ◽  
Kathleen A. Ryan ◽  
...  
Keyword(s):  
Learning Styles ◽  
Learning Style ◽  
Test Scores ◽  
Standardized Test ◽  
Population Data ◽  
Board Certification ◽  
Medical Society ◽  
Standardized Test Scores ◽  
Board Examination ◽  
Pediatric Residents

Abstract Background Board certification is an important professional qualification and a prerequisite for credentialing, and the Accreditation Council for Graduate Medical Education (ACGME) assesses board certification rates as a component of residency program effectiveness. To date, research has shown that preresidency measures, including National Board of Medical Examiners scores, Alpha Omega Alpha Honor Medical Society membership, or medical school grades poorly predict postresidency board examination scores. However, learning styles and temperament have been identified as factors that may affect test-taking performance. The purpose of this study is to characterize the learning styles and temperaments of pediatric residents and to evaluate their relationships to yearly in-service and postresidency board examination scores. Methods This cross-sectional study analyzed the learning styles and temperaments of current and past pediatric residents by administration of 3 validated tools: the Kolb Learning Style Inventory, the Keirsey Temperament Sorter, and the Felder-Silverman Learning Style test. These results were compared with known, normative, general and medical population data and evaluated for correlation to in-service examination and postresidency board examination scores. Results The predominant learning style for pediatric residents was converging 44% (33 of 75 residents) and the predominant temperament was guardian 61% (34 of 56 residents). The learning style and temperament distribution of the residents was significantly different from published population data (P  =  .002 and .04, respectively). Learning styles, with one exception, were found to be unrelated to standardized test scores. Conclusions The predominant learning style and temperament of pediatric residents is significantly different than that of the populations of general and medical trainees. However, learning styles and temperament do not predict outcomes on standardized in-service and board examinations in pediatric residents.

scholarly journals Combining Outcome-Based and Preference-Based Matching: A Constrained Priority Mechanism

2021 ◽  
pp. 1-24
Author(s):  
Avidit Acharya ◽  
Kirk Bansak ◽  
Jens Hainmueller
Keyword(s):  
Machine Learning ◽  
Host Country ◽  
Real World ◽  
Test Scores ◽  
Standardized Test ◽  
Market Design ◽  
Standardized Test Scores ◽  
Real World Data ◽  
Refugee Families ◽  
Strategy Proof

Abstract We introduce a constrained priority mechanism that combines outcome-based matching from machine learning with preference-based allocation schemes common in market design. Using real-world data, we illustrate how our mechanism could be applied to the assignment of refugee families to host country locations, and kindergarteners to schools. Our mechanism allows a planner to first specify a threshold $\bar g$ for the minimum acceptable average outcome score that should be achieved by the assignment. In the refugee matching context, this score corresponds to the probability of employment, whereas in the student assignment context, it corresponds to standardized test scores. The mechanism is a priority mechanism that considers both outcomes and preferences by assigning agents (refugee families and students) based on their preferences, but subject to meeting the planner’s specified threshold. The mechanism is both strategy-proof and constrained efficient in that it always generates a matching that is not Pareto dominated by any other matching that respects the planner’s threshold.

Predicting academic success for students of color within STEM majors

2016 ◽  
Vol 10 (2) ◽  
pp. 124-134 ◽  
Author(s):  
John Gipson
Keyword(s):  
High School ◽  
Students Of Color ◽  
Test Scores ◽  
College Success ◽  
Standardized Test ◽  
Cumulative Effect ◽  
Standardized Test Scores ◽  
Content Type ◽  
College Gpa ◽  
High School Gpa

Purpose The aim of this study is to determine what pre-college characteristics predict college success for students of color enrolled within science, technology, engineering and mathematics programs, as measured by cumulative grade point average (GPA) after three years of initial enrollment. Design/methodology/approach To increase the generalizability by avoiding a single-year focus, the sample includes 954 first-year students entering one predominantly White research university during Fall 2010, Fall 2011 and Fall 2012 (Allen and Bir, 2011); GPAs were collected following three years of initial enrollment. IBM statistical package for the social sciences (SPSS) Statistics 22 was utilized to conduct correlation and multiple linear regression analyses. Findings Within all conditional models, after controlling for multiple variables, the number of advanced placement (AP) credits, standardized test scores and specific type of high school GPA were significantly related to cumulative college GPA after three years of enrollment. However, when multiple forms of high school GPA were included within a full model, only the number of AP credits and standardized test scores remained statistically related to cumulative college GPA. Further, high school core GPA is more strongly correlated with cumulative college GPA after three years of enrollment than overall high school GPA, high school science GPA and high school mathematics GPA. Originality/value This study adds to prior research by identifying that high school core GPA is an important predictor of college success and that the cumulative effect of enrollment within AP credits may be more beneficial than the cumulative effect of involvement within dual enrollment courses.

Turning Standardized Test Scores into a Tool for Improving Teaching and Learning

2000 ◽  
Vol 35 (3) ◽  
pp. 356-384 ◽  
Author(s):  
Jie-Qi Chen ◽  
Renee Salahuddin ◽  
Patricia Horsch ◽  
Suzanne L. Wagner
Keyword(s):  
Test Scores ◽  
Teaching And Learning ◽  
Standardized Test ◽  
Standardized Test Scores ◽  
Improving Teaching And Learning

Predicting success in teacher education: Revisiting the influence of high school GPA, admission, and standardized test scores on academic and licensure performance

2020 ◽  
Vol 10 (2) ◽  
pp. 1-17
Author(s):  
Apler J. Bansiong ◽  
Janet Lynn M. Balagtey
Keyword(s):  
High School ◽  
Teacher Education ◽  
Grade Point Average ◽  
Test Scores ◽  
Standardized Test ◽  
Standardized Test Scores ◽  
Degree Programs ◽  
Licensure Examination ◽  
Grade Point ◽  
Admission Variables

This predictive study explored the influence of three admission variables on the college grade point average (CGPA), and licensure examination ratings of the 2015 teacher education graduates in a state-run university in Northern Philippines. The admission variables were high school grade point average (HSGPA), admission test (IQ) scores, and standardized test (General Scholastic Aptitude - GSA) scores. The participants were from two degree programs – Bachelor in Elementary Education (BEE) and Bachelor in Secondary education (BSE). The results showed that the graduates’ overall HSGPA were in the proficient level, while their admission and standardized test scores were average. Meanwhile, their mean licensure examination ratings were satisfactory, with high (BEE – 80.29%) and very high (BSE – 93.33%) passing rates. In both degree programs, all entry variables were significantly correlated and linearly associated with the CGPAs and licensure examination ratings of the participants. These entry variables were also linearly associated with the specific area GPAs and licensure ratings, except in the specialization area (for BSE). Finally, in both degrees, CGPA and licensure examination ratings were best predicted by HSGPA and standardized test scores, respectively. The implications of these findings on admission policies are herein discussed.

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