Identifying predictors of pharmacy licence examination using grade point average

© 2018 FIP. Background: Passing the Pharmacy Licence Examination (PLE) is a goal of students and faculty. Predictors of PLE would help attain this goal. Aims: To identify predictors of PLE using grade point averages (GPAs). Methods: Student records including course GPAs, admissions route, specialty...

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Main Authors: Siriporn Buraphadecha, Dujrudee Chinwong, Kannika Thiankhanitikun
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/58750
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-587502018-09-05T04:40:45Z Identifying predictors of pharmacy licence examination using grade point average Siriporn Buraphadecha Dujrudee Chinwong Kannika Thiankhanitikun Health Professions Pharmacology, Toxicology and Pharmaceutics Social Sciences © 2018 FIP. Background: Passing the Pharmacy Licence Examination (PLE) is a goal of students and faculty. Predictors of PLE would help attain this goal. Aims: To identify predictors of PLE using grade point averages (GPAs). Methods: Student records including course GPAs, admissions route, specialty track, gender and PLE scores consisting of multiple choice questions (MCQ) and objective structured pharmacy examination (OSPE) were examined. Associations between student data and PLE scores were determined using linear regression analyses at the significance level of 0.05. Results: Significant relations were found between MCQ and pharmacotherapy, pharmaceutical technology and integration of pharmacy professions (adjusted R2=0.573), and between OSPE and pharmacy practices II (adjusted R2=0.085). The association of admissions route and specialty track with OSPE was slight. Conclusion: This study identified three course sub-areas: pharmacotherapy, pharmaceutical technology and integration of pharmacy professions as strong predictors of high MCQ scores suggesting that high GPAs improved high MCQ scores. 2018-09-05T04:30:11Z 2018-09-05T04:30:11Z 2018-01-01 Journal 14772701 15602214 2-s2.0-85046093988 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85046093988&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/58750
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Health Professions
Pharmacology, Toxicology and Pharmaceutics
Social Sciences
spellingShingle Health Professions
Pharmacology, Toxicology and Pharmaceutics
Social Sciences
Siriporn Buraphadecha
Dujrudee Chinwong
Kannika Thiankhanitikun
Identifying predictors of pharmacy licence examination using grade point average
description © 2018 FIP. Background: Passing the Pharmacy Licence Examination (PLE) is a goal of students and faculty. Predictors of PLE would help attain this goal. Aims: To identify predictors of PLE using grade point averages (GPAs). Methods: Student records including course GPAs, admissions route, specialty track, gender and PLE scores consisting of multiple choice questions (MCQ) and objective structured pharmacy examination (OSPE) were examined. Associations between student data and PLE scores were determined using linear regression analyses at the significance level of 0.05. Results: Significant relations were found between MCQ and pharmacotherapy, pharmaceutical technology and integration of pharmacy professions (adjusted R2=0.573), and between OSPE and pharmacy practices II (adjusted R2=0.085). The association of admissions route and specialty track with OSPE was slight. Conclusion: This study identified three course sub-areas: pharmacotherapy, pharmaceutical technology and integration of pharmacy professions as strong predictors of high MCQ scores suggesting that high GPAs improved high MCQ scores.
format Journal
author Siriporn Buraphadecha
Dujrudee Chinwong
Kannika Thiankhanitikun
author_facet Siriporn Buraphadecha
Dujrudee Chinwong
Kannika Thiankhanitikun
author_sort Siriporn Buraphadecha
title Identifying predictors of pharmacy licence examination using grade point average
title_short Identifying predictors of pharmacy licence examination using grade point average
title_full Identifying predictors of pharmacy licence examination using grade point average
title_fullStr Identifying predictors of pharmacy licence examination using grade point average
title_full_unstemmed Identifying predictors of pharmacy licence examination using grade point average
title_sort identifying predictors of pharmacy licence examination using grade point average
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85046093988&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/58750
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