Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students
Bibliographic Data
| ID | 21729527 |
|---|---|
| Authors | Hongwei Yang (0000-0002-6162-092X, University of West Florida), Jian Su (0000-0002-4026-4823, University of Tennessee at Knoxville), Kelly D Bradley (0000-0002-4682-8212, University of Kentucky) |
| Year | 2020 |
| Volume | 21 |
| Issue | 3 |
| Publication date | 2020-03-04 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The International Review of Research in Open and Distributed Learning (JOURNAL) |
| Journal identifiers | ISSN: 1492-3831 • E-ISSN: 1492-3831 |
| Publisher | Athabasca University Press (PUBLISHER • CA) |
| DOI | 10.19173/irrodl.v21i3.4654 |
| OpenAlex | W3084852831 |
| Language | EN |
| Citations received | 3 |
| References cited | 7 |
With the rapid growth of online learning and the increased attention paid to student attrition in online programs, much research has been aimed at studying the effectiveness of online education to improve students’ online learning experience and student retention. Utilizing the online learning literature as a multi-faceted theoretical framework, the study developed and employed a new survey instrument. The Self-Directed Online Learning Scale (SDOLS) was used to examine graduate student perceptions of effectiveness of online learning environments as demonstrated by their ability to take charge of their own learning, and to identify key factors in instructional design for effective improvements. The study applied the Rasch rating scale model to evaluate and validate SDOLS through a psychometric lens to establish the reliability and validity of SDOLS. Results from Rasch analysis addressed two research questions. First, evidence was found to generally support the new instrument as being psychometrically sound but three problematic items were also identified as grounds for future improvement of SDOLS. Second, the study assessed the importance of various factors as measured by the SDOLS items in contributing to students’ ability to self-manage their own online learning. Finally, the new instrument is expected to contribute to the work of various stakeholders in online education and can serve to improve students’ online learning experience and effectiveness, increase online retention rates, and reduce online dropouts
Crowdsourcing · Distance education · Educational technology · Mathematics education · Medical education · Multimedia · Online learning · Rasch model · Rating scale · World Wide Web · Computer Science · E-Learning and COVID-19 · Online and Blended Learning · Online Learning and Analytics · Psychology
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| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |