Towards a Validated Self-Efficacy Scale for Data Management
Author: 
Wensheng WuAuthors Info & Claims
Wensheng WuAuthors Info & ClaimsPages 186 - 192
Abstract
We propose a self-efficacy scale for data management. The scale assesses students' perceived capabilities in mastering the breadth and depth of modern data management, as well as hands-on skills for effective management of data. Such capabilities are critical to computing and data science students. We have conducted factor analysis to validate the scale. The analysis produced a factor model with high internal consistencies. Group analyses using the factor solution and statistical testing show that (1) males and females have similar self-efficacy, except for the depth of knowledge where females showed higher confidences; and (2) CS students had much higher self-efficacy than non-CS students. To the best of our knowledge, this is the first self-efficacy scale for data management.
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Published In
March 2023
1481 pages
ISBN:9781450394314
DOI:10.1145/3545945
- General Chairs:
- Maureen Doyle,
- Ben Stephenson,
- Program Chairs:
- Brian Dorn,
- Leen-Kiat Soh,
- Lina Battestilli
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This work is licensed under a Creative Commons Attribution International 4.0 License.
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Published: 03 March 2023
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