Journal of Educational Evaluation for Health Professions

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

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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.

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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
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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
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Opinion

Experiences with a graduate course on sex and gender medicine in Korea: Seon Mee Park, Nayoung Kim, Hee Young Paik; J Educ Eval Health Prof. 2018;15:13. Published online May 4, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.13

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Corrigendum

Corrigendum: Misplacement of images in a table including the structure of the cerebral cortex: J Educ Eval Health Prof. 2018;15:12. Published online May 2, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.12; Corrects: J Educ Eval Health Prof 2016;13(0):32

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Research article

Motivational profiles and their relationships with basic psychological needs, academic performance, study strategies, self-esteem, and vitality in dental students in Chile: Cesar A. Orsini, Vivian I. Binnie, Jorge A. Tricio; J Educ Eval Health Prof. 2018;15:11. Published online April 19, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.11

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Abstract PDF Supplementary Material

Purpose
To determine dental students’ motivational profiles through a person-centred approach and to analyse the associations with the satisfaction of their basic psychological needs, study strategies, academic performance, self-esteem, and vitality.
Methods
A total of 924 students from the University of San Sebastian (Chile) participated in this cross-sectional cor¬relational study in spring 2016. Data were collected through 5 self-reported instruments, in addition to students’ academic performance. The Cronbach alpha, descriptive statistics, and correla¬tion scores were computed. A k-means cluster analysis with intrinsic and controlled motivation was conducted to identify different mo-tivational profiles. Subsequently, multivariate analysis of covariance controlling for the effects of gender and year of study was carried out to assess differences among the retained motivational profiles and learning variables.
Results
All instruments showed acceptable Cronbach alpha scores. A 4-cluster solution was retained for the motivational profile over a 3- or 5-cluster solution. Students’ motiva-tional profiles were characterized by different degrees of intrinsic and controlled motivation. The high intrinsic motivation groups showed higher perceptions of their basic psychological, a greater propensity for a deep rather than surface study strategy, better academic performance, and higher scores for self-esteem and vitality than the low intrinsic motivation groups, regardless of the degree of controlled motivation.
Conclusion
Students with a high intrinsic motivation profile, regardless of their controlled motivation scores, reported better learning characteristics. Therefore, special attention should be paid to students’ motivational profiles, as the quality of motivation might serve as a basis for interventions to support their academic success and well-being.

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Case report

Distribution and academic significance of learning approaches among pre-clinical medical students at Trinity School of Medicine, St Vincent and the Grenadines: Keshab Raj Paudel, Hari Prasad Nepal, Binu Shrestha, Raju Panta, Stephen Toth; J Educ Eval Health Prof. 2018;15:9. Published online April 6, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.9

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Purpose
Different students may adopt different learning approaches: namely, deep and surface. This study aimed to characterize the learning strategies of medical students at Trinity School of Medicine and to explore potential correlations between deep learning approach and the students’ academic scores.
Methods
The study was a questionnaire-based, cross-sectional, observational study. A total of 169 medical students in the basic science years of training were included in the study after giving informed consent. The Biggs’s Revised Two-Factor Study Process Questionnaire in paper form was distributed to subjects from January to November 2017. For statistical analyses, the Student t-test, 1-way analysis of variance followed by the post-hoc t-test, and the Pearson correlation test were used. The Cronbach alpha was used to test the internal consistency of the questionnaire.
Results
Of the 169 subjects, 132 (response rate, 78.1%) completely filled out the questionnaires. The Cronbach alpha value for the items on the questionnaire was 0.8. The score for the deep learning approach was 29.4± 4.6, whereas the score for the surface approach was 24.3± 4.2, which was a significant difference (P< 0.05). A positive correlation was found between the deep learning approach and students’ academic performance (r= 0.197, P< 0.05, df= 130).
Conclusion
Medical students in the basic science years at Trinity School of Medicine adopted the deep learning approach more than the surface approach. Likewise, students who were more inclined towards the deep learning approach scored significantly higher on academic tests.

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Research article

Does learning style preferences influence academic performance among dental students in Isfahan, Iran?: Najmeh Akhlaghi, Hosein Mirkazemi, Mehdi Jafarzade, Narjes Akhlaghi; J Educ Eval Health Prof. 2018;15:8. Published online March 24, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.8

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Purpose
The present study aimed to identify the learning preferences of dental students and to characterize their relationship with academic performance at a dental school in Isfahan, Iran.
Methods
This cross-sectional descriptive study included 200 undergraduate dental students from October to November 2016. Data were collected using a 2-part questionnaire. The first part included demographic data, and the second part was a Persian-language version of the visual, aural, read/write, and kinesthetic questionnaire. Data analysis was conducted with the chi-square test, 1-way analysis of variance, and multiple linear regression.
Results
The response rate was 86.6%. Approximately half of the students (51.5%) had multimodal learning preferences. Among the unimodal group (48.5%), the most common mode was aural (24.0%), followed by kinesthetic (15.5%), reading-writing (8.0%), and visual (1.0%). There was a significant association between academic performance and the reading/writing learning style preference (P< 0.01).
Conclusion
Multimodal learning styles were the most preferred. Among single-mode learning styles, the aural style was most common, followed by the kinesthetic style. Students with a reading/writing preference had better academic performance. The results of this study provide useful information for preparing a more problem-based curriculum with active learning strategies.

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Review

Components of the item selection algorithm in computerized adaptive testing: Kyung (Chris) Tyek Han; J Educ Eval Health Prof. 2018;15:7. Published online March 24, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.7

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Abstract PDF Supplementary Material

Computerized adaptive testing (CAT) greatly improves measurement efficiency in high-stakes testing operations through the selection and administration of test items with the difficulty level that is most relevant to each individual test taker. This paper explains the 3 components of a conventional CAT item selection algorithm: test content balancing, the item selection criterion, and item exposure control. Several noteworthy methodologies underlie each component. The test script method and constrained CAT method are used for test content balancing. Item selection criteria include the maximized Fisher information criterion, the b-matching method, the astratification method, the weighted likelihood information criterion, the efficiency balanced information criterion, and the KullbackLeibler information criterion. The randomesque method, the Sympson-Hetter method, the unconditional and conditional multinomial methods, and the fade-away method are used for item exposure control. Several holistic approaches to CAT use automated test assembly methods, such as the shadow test approach and the weighted deviation model. Item usage and exposure count vary depending on the item selection criterion and exposure control method. Finally, other important factors to consider when determining an appropriate CAT design are the computer resources requirement, the size of item pools, and the test length. The logic of CAT is now being adopted in the field of adaptive learning, which integrates the learning aspect and the (formative) assessment aspect of education into a continuous, individualized learning experience. Therefore, the algorithms and technologies described in this review may be able to help medical health educators and high-stakes test developers to adopt CAT more actively and efficiently.

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Editorial

A two-year progress report on medical education standards in the Western Pacific: Presidential address 2018: Michael Field; J Educ Eval Health Prof. 2018;15:6. Published online March 9, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.6

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Community of inquiry Framework Combined With Podcast Media in Nursing Education innovation During Covid-19 Pandemic: An Evaluative Study
Ah Yusuf, Ronal Surya Aditya, Daifallah M AlRazeeni, Reem Lafi AlMutairi, Fitriana Kurniasari Solikhah, Siti Kotijah, Wiwit Dwi Nurbadriyah
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Case reports

Formative feedback from the first-person perspective using Google Glass in a family medicine objective structured clinical examination station in the United States: Julie Youm, Warren Wiechmann; J Educ Eval Health Prof. 2018;15:5. Published online March 7, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.5

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Abstract PDF Supplementary Material: Purpose
This case study explored the use of Google Glass in a clinical examination scenario to capture the first-person perspective of a standardized patient as a way to provide formative feedback on students’ communication and empathy skills ‘through the patient’s eyes.’
Methods
During a 3-year period between 2014 and 2017, third-year students enrolled in a family medicine clerkship participated in a Google Glass station during a summative clinical examination. At this station, standardized patients wore Google Glass to record an encounter focused on communication and empathy skills ‘through the patient’s eyes.’ Students completed an online survey using a 4-point Likert scale about their perspectives on Google Glass as a feedback tool (N= 255).
Results
We found that the students’ experiences with Google Glass ‘through the patient’s eyes’ were largely positive and that students felt the feedback provided by the Google Glass recording to be helpful. Although a third of the students felt that Google Glass was a distraction, the majority believed that the first-person perspective recordings provided an opportunity for feedback that did not exist before.
Conclusion
Continuing exploration of first-person perspective recordings using Google Glass to improve education on communication and empathy skills is warranted.

Authenticity, acceptability, and feasibility of a hybrid gynecology station for the Papanicolaou test as part of a clinical skills examination in Korea: Ji-Hyun Seo, Younglim Oh, Sunju Im, Do-Kyong Kim, Hyun-Hee Kong, HyeRin Roh; J Educ Eval Health Prof. 2018;15:4. Published online February 13, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.4

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Abstract PDF Supplementary Material

Purpose
The objective of this study was to evaluate the authenticity, acceptability, and feasibility of a hybrid station that combined a standardized patient encounter and a simulated Papanicolaou test.
Methods
We introduced a hybrid station in the routine clinical skills examination (CSE) for 335 third-year medical students at 4 universities in Korea from December 1 to December 3, 2014. After the tests, we conducted an anonymous survey on the authenticity, acceptability, and feasibility of the hybrid station.
Results
A total of 334 medical students and 17 professors completed the survey. A majority of the students (71.6%) and professors (82.4%) agreed that the hybrid station was more authentic than the standard CSE. Over 60 percent of the students and professors responded that the station was acceptable for assessing the students’ competence. Most of the students (75.2%) and professors (82.4%) assessed the required tasks as being feasible after reading the instructions.
Conclusion
Our results showed that the hybrid CSE station was a highly authentic, acceptable, and feasible way to assess medical students’ performance.

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Opinion

Pediatric residents’ attitudes towards and experiences with collaboration with primary and secondary schools in the United States: Jeffrey D. Shahidullah; J Educ Eval Health Prof. 2018;15:3. Published online January 29, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.3

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Research article

Contributions of psychological needs, self-compassion, leisure-time exercise, and achievement goals to academic engagement and exhaustion in Canadian medical students: Oksana Babenko, Amber Mosewich, Joseph Abraham, Hollis Lai; J Educ Eval Health Prof. 2018;15:2. Published online January 8, 2018; DOI: https://doi.org/10.3352/jeehp.2018.15.2

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Purpose
To investigate the contributions of psychological needs (autonomy, competence, and relatedness) and coping strategies (selfcompassion, leisure-time exercise, and achievement goals) to engagement and exhaustion in Canadian medical students.
Methods
This was an observational study. Two hundred undergraduate medical students participated in the study: 60.4% were female, 95.4% were 20–29 years old, and 23.0% were in year 1, 30.0% in year 2, 21.0% in year 3, and 26.0% in year 4. Students completed an online survey with measures of engagement and exhaustion from the Oldenburg Burnout Inventory–student version; autonomy, competence, and relatedness from the Basic Psychological Needs Scale; self-compassion from the Self-Compassion Scale–short form; leisure-time exercise from the Godin Leisure-Time Exercise Questionnaire; and mastery approach, mastery avoidance, performance approach, and performance avoidance goals from the Achievement Goals Instrument. Descriptive and inferential analyses were performed.
Results
The need for competence was the strongest predictor of student engagement (β= 0.35, P= 0.000) and exhaustion (β= −0.33, P= 0.000). Students who endorsed mastery approach goals (β= 0.21, P= 0.005) and who were more self-compassionate (β= 0.13, P= 0.050) reported greater engagement with their medical studies. Students who were less self-compassionate (β= −0.32, P= 0.000), who exercised less (β= −0.12, P= 0.044), and who endorsed mastery avoidance goals (β= 0.22, P= 0.003) reported greater exhaustion from their studies. Students’ gender (β= 0.18, P= 0.005) and year in medical school (β= −0.18, P= 0.004) were related to engagement, but not to exhaustion.
Conclusion
Supporting students’ need for competence and raising students’ awareness of selfcompassion, leisure-time exercise, and mastery approach goals may help protect students from burnout-related exhaustion and enhance their engagement with their medical school studies.

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