Article ; Online: Satisfaction with asynchronous e-learning: An exploratory factor analysis of the Learner Satisfaction with Asynchronous e-Learning (LSAeL) instrument.
2024 Volume 75, Page(s) 103897
Abstract: Aim: To describe the development and psychometric testing of the Learner Satisfaction with Asynchronous e-Learning (LSAeL) instrument.: Background: Existing satisfaction with e-learning instruments may not accurately evaluate learner satisfaction ... ...
Abstract | Aim: To describe the development and psychometric testing of the Learner Satisfaction with Asynchronous e-Learning (LSAeL) instrument. Background: Existing satisfaction with e-learning instruments may not accurately evaluate learner satisfaction with constructs associated with asynchronous e-learning. Design: Methodological study. Methods: Content, face and construct validity of the instrument were evaluated using a two-stage process. A five-member expert panel evaluated the instrument's content and face validity. A content validity index and a modified kappa co-efficient was used to calculate the content validity of individual test items and the global instrument and to adjust for chance agreement between raters. These data were then reviewed and individual items were removed, retained or refined accordingly. Using an empirically informed wholly asynchronous e-learning program 237 nursing students from a regional university in New South Wales, Australia completed the 35 item LSAeL instrument. An exploratory factor analysis (EFA) was then conducted to explore the dimensionality of the instrument. Results: Exploratory factor analysis identified a seven-factor solution with 30 items, explaining an 86.1% of the total variance, was the best fit for the data. Conclusion: The study demonstrates that the construct validity of the LSAeL instrument is acceptable. Instrument development is an iterative process and further testing with other cohorts and in other settings is required. |
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MeSH term(s) | Humans ; Computer-Assisted Instruction ; Learning ; Personal Satisfaction ; Factor Analysis, Statistical ; Australia ; Psychometrics ; Reproducibility of Results ; Surveys and Questionnaires |
Language | English |
Publishing date | 2024-01-24 |
Publishing country | Scotland |
Document type | Journal Article |
ZDB-ID | 2058575-5 |
ISSN | 1873-5223 ; 1471-5953 |
ISSN (online) | 1873-5223 |
ISSN | 1471-5953 |
DOI | 10.1016/j.nepr.2024.103897 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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