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Research article
Post-hoc simulation study of computerized adaptive testing for the Korean Medical Licensing Examination  
Dong Gi Seo, Jeongwook Choi
J Educ Eval Health Prof. 2018;15:14.   Published online May 17, 2018
DOI: https://doi.org/10.3352/jeehp.2018.15.14
Correction in: J Educ Eval Health Prof 2018;15(0):27
  • 36,356 View
  • 321 Download
  • 8 Web of Science
  • 7 Crossref
AbstractAbstract PDFSupplementary Material
Purpose
Computerized adaptive testing (CAT) has been adopted in licensing examinations because it improves the efficiency and accuracy of the tests, as shown in many studies. This simulation study investigated CAT scoring and item selection methods for the Korean Medical Licensing Examination (KMLE).
Methods
This study used a post-hoc (real data) simulation design. The item bank used in this study included all items from the January 2017 KMLE. All CAT algorithms for this study were implemented using the ‘catR’ package in the R program.
Results
In terms of accuracy, the Rasch and 2-parametric logistic (PL) models performed better than the 3PL model. The ‘modal a posteriori’ and ‘expected a posterior’ methods provided more accurate estimates than maximum likelihood estimation or weighted likelihood estimation. Furthermore, maximum posterior weighted information and minimum expected posterior variance performed better than other item selection methods. In terms of efficiency, the Rasch model is recommended to reduce test length.
Conclusion
Before implementing live CAT, a simulation study should be performed under varied test conditions. Based on a simulation study, and based on the results, specific scoring and item selection methods should be predetermined.

Citations

Citations to this article as recorded by  
  • Presidential address: improving item validity and adopting computer-based testing, clinical skills assessments, artificial intelligence, and virtual reality in health professions licensing examinations in Korea
    Hyunjoo Pai
    Journal of Educational Evaluation for Health Professions.2023; 20: 8.     CrossRef
  • Developing Computerized Adaptive Testing for a National Health Professionals Exam: An Attempt from Psychometric Simulations
    Lingling Xu, Zhehan Jiang, Yuting Han, Haiying Liang, Jinying Ouyang
    Perspectives on Medical Education.2023;[Epub]     CrossRef
  • Optimizing Computer Adaptive Test Performance: A Hybrid Simulation Study to Customize the Administration Rules of the CAT-EyeQ in Macular Edema Patients
    T. Petra Rausch-Koster, Michiel A. J. Luijten, Frank D. Verbraak, Ger H. M. B. van Rens, Ruth M. A. van Nispen
    Translational Vision Science & Technology.2022; 11(11): 14.     CrossRef
  • The accuracy and consistency of mastery for each content domain using the Rasch and deterministic inputs, noisy “and” gate diagnostic classification models: a simulation study and a real-world analysis using data from the Korean Medical Licensing Examinat
    Dong Gi Seo, Jae Kum Kim
    Journal of Educational Evaluation for Health Professions.2021; 18: 15.     CrossRef
  • Linear programming method to construct equated item sets for the implementation of periodical computer-based testing for the Korean Medical Licensing Examination
    Dong Gi Seo, Myeong Gi Kim, Na Hui Kim, Hye Sook Shin, Hyun Jung Kim
    Journal of Educational Evaluation for Health Professions.2018; 15: 26.     CrossRef
  • Funding information of the article entitled “Post-hoc simulation study of computerized adaptive testing for the Korean Medical Licensing Examination”
    Dong Gi Seo, Jeongwook Choi
    Journal of Educational Evaluation for Health Professions.2018; 15: 27.     CrossRef
  • Updates from 2018: Being indexed in Embase, becoming an affiliated journal of the World Federation for Medical Education, implementing an optional open data policy, adopting principles of transparency and best practice in scholarly publishing, and appreci
    Sun Huh
    Journal of Educational Evaluation for Health Professions.2018; 15: 36.     CrossRef
Research Articles
Impact of a novel, resource appropriate resuscitation curriculum on Nicaraguan resident physician’s management of cardiac arrest  
Breena R. Taira, Aristides Orue, Edward Stapleton, Luis Lovato, Sitaram Vangala, Lucia Solorzano Tinoco, Orlando Morales
J Educ Eval Health Prof. 2016;13:25.   Published online June 9, 2016
DOI: https://doi.org/10.3352/jeehp.2016.13.25
  • 27,582 View
  • 206 Download
  • 4 Web of Science
  • 6 Crossref
AbstractAbstract PDF
Purpose
Project Strengthening Emergency Medicine, Investing in Learners in Latin America (SEMILLA) created a novel, language and resource appropriate course for the resuscitation of cardiac arrest for Nicaraguan resident physicians. We hypothesized that participation in the Project SEMILLA resuscitation program would significantly improve the physician’s management of simulated code scenarios. Methods: Thirteen Nicaraguan resident physicians were evaluated while managing simulated cardiac arrest scenarios before, immediately, and at 6 months after participating in the Project SEMILLA resuscitation program. This project was completed in 2014 in Leon, Nicaragua. The Cardiac Arrest Simulation Test (CASTest), a validated scoring system, was used to evaluate performance on a standardized simulated cardiac arrest scenario. Mixed effect logistic regression models were constructed to assess outcomes. Results: On the pre-course simulation exam, only 7.7% of subjects passed the test. Immediately post-course, the subjects achieved a 30.8% pass rate and at 6 months after the course, the pass rate was 46.2%. Compared with pre-test scores, the odds of passing the CASTest at 6 months after the course were 21.7 times higher (95% CI 4.2 to 112.8, P<0.001). Statistically significant improvement was also seen on the number of critical items completed (OR=3.75, 95% CI 2.71-5.19), total items completed (OR=4.55, 95% CI 3.4-6.11), and number of “excellent” scores on a Likert scale (OR=2.66, 95% CI 1.85-3.81). Conclusions: Nicaraguan resident physicians demonstrate improved ability to manage simulated cardiac arrest scenarios after participation in the Project SEMILLA resuscitation course and retain these skills.

Citations

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  • Симуляційні технології у навчанні інтернів та безперервній професійній освіті дипломованих лікарів-анестезіологів
    Kateryna Bielka, Мariya Smirnova, Hanna Fomina
    The Ukrainian Scientific Medical Youth Journal.2023; 139(2): 64.     CrossRef
  • Analysis of Unstructured Text-Based Data Using Machine Learning Techniques: The Case of Pediatric Emergency Department Records in Nicaragua
    Giulia Lorenzoni, Silvia Bressan, Corrado Lanera, Danila Azzolina, Liviana Da Dalt, Dario Gregori
    Medical Care Research and Review.2021; 78(2): 138.     CrossRef
  • Assessing the impact of resuscitation residents on the treatment of cardiopulmonary resuscitation patients
    David M. Lee, David A. Berger, Patrick A. Wloszczynski, Patrick Karabon, Lihua Qu, Michael J. Burla
    The American Journal of Emergency Medicine.2021; 41: 46.     CrossRef
  • Resuscitation Resident Impact in the Treatment of Sepsis
    Michael J Burla, Nashid Shinthia, Judith A Boura, Lihua QU, David A Berger
    Cureus.2020;[Epub]     CrossRef
  • A Review of Anesthesia Simulation in Low-Income Countries
    Oleg Turkot, Michael C. Banks, Seung Woo Lee, Adam Dodson, Shirley Duarte, Mwemezi Kaino, Howard Nelson-Williams, Serkan Toy, John Sampson
    Current Anesthesiology Reports.2019; 9(1): 1.     CrossRef
  • Community-based in situ simulation: bringing simulation to the masses
    Barbara M. Walsh, Marc A. Auerbach, Marcie N. Gawel, Linda L. Brown, Bobbi J. Byrne, Aaron Calhoun
    Advances in Simulation.2019;[Epub]     CrossRef
Modifiable variables in physical therapy education programs associated with first-time and three-year National Physical Therapy Examination pass rates in the United States  
Chad Cook, Chalee Engelhard, Michel D. Landry, Christine McCallum
J Educ Eval Health Prof. 2015;12:44.   Published online September 23, 2015
DOI: https://doi.org/10.3352/jeehp.2015.12.44
  • 28,257 View
  • 182 Download
  • 9 Web of Science
  • 19 Crossref
AbstractAbstract PDF
Purpose
This study aimed to examine the modifiable programmatic characteristics reflected in the Commission on Accreditation in Physical Therapy Education (CAPTE) Annual Accreditation Report for all accredited programs that reported pass rates on the National Physical Therapist Examination, and to build a predictive model for first-time and three-year ultimate pass rates. Methods: This observational study analyzed programmatic information from the 185 CAPTE-accredited physical therapy programs in the United States and Puerto Rico out of a total of 193 programs that provided the first-time and three-year ultimate pass rates in 2011. Fourteen predictive variables representing student selection and composition, clinical education length and design, and general program length and design were analyzed against first-time pass rates and ultimate pass rates on the NPTE. Univariate and multivariate multinomial regression analysis for first-time pass rates and logistic regression analysis for three-year ultimate pass rates were performed. Results: The variables associated with the first-time pass rate in the multivariate analysis were the mean undergraduate grade point average (GPA) and the average age of the cohort. Multivariate analysis showed that mean undergraduate GPA was associated with the three-year ultimate pass rate. Conclusions: Mean undergraduate GPA was found to be the only modifiable predictor for both first-time and three-year pass rates among CAPTE-accredited physical therapy programs.

Citations

Citations to this article as recorded by  
  • Challenges and Opportunities for Physical Therapist Education Research: Results From an American Council of Academic Physical Therapy Needs Assessment Survey
    Tara Dickson, Jody Eckert, Patrick Pabian, Jamie Greco
    Journal of Physical Therapy Education.2024; 38(1): 80.     CrossRef
  • Predictive Value of In-Program Academic Variables for Future Clinical Education Performance in Physical Therapist Education: An Exploratory Study
    Marisa Birkmeier, Joyce Maring, Rebecca Pinkus, Ellen Costello
    Journal of Physical Therapy Education.2024; 38(1): 44.     CrossRef
  • A Systematic Review of Variables Used in Physical Therapist Education Program Admissions Part 2: Noncognitive Variables
    Andrea N. Bowens
    Journal of Physical Therapy Education.2024;[Epub]     CrossRef
  • Predictors of National Physical Therapy Examination Failure in Graduates of a Blended Doctor of Physical Therapy Program
    Melissa J. Lazinski, Kathleen Rockefeller, M. Samuel Cheng
    Journal of Physical Therapy Education.2023; 37(1): 52.     CrossRef
  • Board of Certification Examination Achievement Gaps as a Barrier to Diversifying the Athletic Training Profession
    Nicolette A. Harris, Lindsey E. Eberman
    Journal of Athletic Training.2023; 58(1): 1.     CrossRef
  • How Doctor of Physical Therapy Students Overcome Academic Challenges to Achieve First-Attempt Success on the National Physical Therapy Examination: A Mixed Methods Study
    Jane Baldwin, Catherine Schmidt, Laura Plummer, Perman Gochyyev, Jillian E. Battista, Simran Kaur, Keshrie Naidoo
    Education Sciences.2023; 13(5): 430.     CrossRef
  • Predictors of Success in the National Physical Therapy Examination for Hispanic Doctor of Physical Therapy Students
    Kristian J. Pamias-Velázquez, Brent Harper
    Journal of Physical Therapy Education.2023; 37(3): 243.     CrossRef
  • A Systematic Review of Variables Used in Physical Therapist Education Program Admissions Part 1: Cognitive Variables
    Andrea N. Bowens
    Journal of Physical Therapy Education.2023;[Epub]     CrossRef
  • A National Study on the Relationship Between Programmatic Factors and Athletic Training Education Board of Certification Pass Rates
    Leslie A. Rippon, Rong Chen, Robert J. Kelchen, Richard J. Boergers
    Athletic Training Education Journal.2022; 17(1): 37.     CrossRef
  • Predictors of Success on the National Physical Therapy Examination in 2 US Accelerated-Hybrid Doctor of Physical Therapy Programs
    Breanna Reynolds, Casey Unverzagt, Alex Koszalinski, Roberta Gatlin, Jill Seale, Kendra Gagnon, Kareaion Eaton, Shane L. Koppenhaver
    Journal of Physical Therapy Education.2022; 36(3): 225.     CrossRef
  • Virtual Reality Instructional Design in Orthopedic Physical Therapy Education: A Randomized Controlled Trial
    Aaron J. Hartstein, Kory Zimney, Margaret Verkuyl, Jean Yockey, Patti Berg-Poppe
    Journal of Physical Therapy Education.2022; 36(2): 176.     CrossRef
  • Evaluation of Educational Interventions Based on Average Treatment Effect: A Case Study
    Jingyu Liang, Jie Liu
    Mathematics.2022; 10(22): 4333.     CrossRef
  • Faculty and programmatic influences on the percentage of graduates of color from professional physical therapy programs in the United States
    Tara Dickson, Jason Zafereo
    Advances in Health Sciences Education.2021; 26(1): 215.     CrossRef
  • Predictors of research productivity among physical therapy programs in the United States: an observational study
    David M. Rowland, Amanda A. Murphy, Hannah R. Manik, Chris Y. Lane, Deborah L. Givens, Chad E. Cook, Alessandra Narciso Garcia
    BMC Medical Education.2020;[Epub]     CrossRef
  • Characteristics of Professional Physical Therapist Faculty and Doctor of Physical Therapy Programs, 2008-2017: Influences on Graduation Rates and First-Time National Physical Therapy Examination Pass Rates
    Tara Dickson, Barrett Taylor, Jason Zafereo
    Physical Therapy.2020; 100(11): 1930.     CrossRef
  • Predicting Success for Student Physical Therapists on the National Physical Therapy Examination: Systematic Review and Meta-Analysis
    Mitch Wolden, Brent Hill, Sara Voorhees
    Physical Therapy.2020; 100(1): 73.     CrossRef
  • Current Practices and Perceptions of Admission Criteria at Physical Therapist Education Programs in the United States
    Katy Mitchell, Jennifer Ellison, Peggy Gleeson
    Journal of Physical Therapy Education.2019; 33(1): 55.     CrossRef
  • Data-driven Decision Making in Doctor of Physical Therapy Curricula Part I: Program-level Analysis
    Dawn Roller, Michael Wininger, John Leard, Barbara Crane
    Journal of Physical Therapy Education.2018; 32(4): 368.     CrossRef
  • 20th Pauline Cerasoli Lecture: The Sunk Cost Fallacy
    Chad Cook
    Journal of Physical Therapy Education.2017; 31(3): 10.     CrossRef

JEEHP : Journal of Educational Evaluation for Health Professions