Are Youtube<SUP>TM</SUP> videos useful for biostatistics education: a sample of logistic regression
Publication Date
Advisor
Institution Author
Baygül, Arzu Eden
Co-Authors
Inan, Neslihan Gokmen
Journal Title
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Volume Title
Publisher:
Marmara University, Institute of Health Sciences
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Abstract
Objectives: To examine the quality and educational content of YouTube videos related to logistic regression. Methods: A comprehensive electronic search was performed for `Logistic Regression" on YouTube.The first 70 videos were evaluated for each term. Videos were evaluated using Global Quality Score [GQS] checklists and were classified as useful and insufficient by two statisticians. Results: Of the 70 videos analyzed, 53 were included. The mean GQS value was 3.9+1.1. Fourty videos (75.5%) were classified as useful. Independent users tend to upload videos mostly Lecturer / Ph.D., Lecturer Msc. and Data science course channels. A significant difference was observed in GQS among useful and insufficient videos. The mean GQS scores of useful videos were 4.3 (s.d.:0.8), for insufficient videos were 2.5 (s.d.:0.5). Conclusion: Specialists or instructors could refer their students to YouTube resources and actively participate in the development of videosharing platforms for biostatistics.
Description
Subject
Medicine, research and experimental