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The final model using multivariate logistic regression anal..:

Naoto Kuroda (7004360) ; Anna Suzuki (12009548) ; Kai Ozawa (12009551)...
https://figshare.com/articles/journal_contribution/The_final_model_using_multivariate_logistic_regression_analysis_to_predict_medical_students_motivation_during_online_clerkship_Level_2a_in_Kirkpatrick_s_assessment_model_/19081022. , 2022

Link: https://doi.org/10.1371/journal.pone.0263182.s005

RT Journal
T1 <Title>The final model using multivariate logistic regression analysis to predict medical students' motivation during online clerkship (Level 2a in Kirkpatrick's assessment model)</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_19081022&Exemplar=1&LAN=DE
				
A1 Naoto Kuroda (7004360)
A1 Anna Suzuki (12009548)
A1 Kai Ozawa (12009551)
A1 Nobuhiro Nagai (385371)
A1 Yurika Okuyama (12009554)
A1 Kana Koshiishi (12009557)
A1 Masafumi Yamada (2452441)
A1 Makoto Kikukawa (3574952)
YR 2022
K1 Medicine
K1 Biotechnology
K1 Science Policy
K1 Biological Sciences not elsewhere classified
K1 students &# 8217
K1 social media surveys
K1 february &# 8211
K1 asked students questions
K1 final prediction models
K1 671 medical students
K1 106 medical students
K1 sectional national surveys
K1 prediction performance values
K1 online medical education
K1 physicians &# 8217
K1 clinical skills practice
K1 multivariate prediction model
K1 technical problems )
K1 scoring system based
K1 technical problems
K1 prediction model
K1 medical quizzes
K1 sectional study
K1 predictive performance
K1 online platforms
K1 85 )
K1 validation dataset
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K1 technological advancements
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K1 march 2021
K1 june 2020
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K1 externally validated
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K1 derivation dataset
JF https://figshare.com/articles/journal_contribution/The_final_model_using_multivariate_logistic_regression_analysis_to_predict_medical_students_motivation_during_online_clerkship_Level_2a_in_Kirkpatrick_s_assessment_model_/19081022
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0263182.s005
DO https://doi.org/10.1371/journal.pone.0263182.s005
SF ELIB - SuUB Bremen

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