Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students

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 liter...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Hongwei Yang, Jian Su, Kelly D. Bradley
Formato:	article
Lenguaje:	EN
Publicado:	Athabasca University Press 2020
Materias:	self-directed learning online teaching and learning scale development Rasch analysis Special aspects of education LC8-6691
Acceso en línea:	https://doaj.org/article/1bf9712ce17f49f8a700f8c12b407c63
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1bf9712ce17f49f8a700f8c12b407c63
record_format	dspace
spelling	oai:doaj.org-article:1bf9712ce17f49f8a700f8c12b407c632021-12-02T19:26:00ZApplying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students10.19173/irrodl.v21i3.46541492-3831https://doaj.org/article/1bf9712ce17f49f8a700f8c12b407c632020-03-01T00:00:00Zhttp://www.irrodl.org/index.php/irrodl/article/view/4654https://doaj.org/toc/1492-3831With 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. Hongwei YangJian SuKelly D. BradleyAthabasca University Pressarticleself-directed learningonline teaching and learningscale developmentRasch analysisSpecial aspects of educationLC8-6691ENInternational Review of Research in Open and Distributed Learning, Vol 21, Iss 3 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	self-directed learning online teaching and learning scale development Rasch analysis Special aspects of education LC8-6691
spellingShingle	self-directed learning online teaching and learning scale development Rasch analysis Special aspects of education LC8-6691 Hongwei Yang Jian Su Kelly D. Bradley Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students
description	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.
format	article
author	Hongwei Yang Jian Su Kelly D. Bradley
author_facet	Hongwei Yang Jian Su Kelly D. Bradley
author_sort	Hongwei Yang
title	Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students
title_short	Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students
title_full	Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students
title_fullStr	Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students
title_full_unstemmed	Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students
title_sort	applying the rasch model to evaluate the self-directed online learning scale (sdols) for graduate students
publisher	Athabasca University Press
publishDate	2020
url	https://doaj.org/article/1bf9712ce17f49f8a700f8c12b407c63
work_keys_str_mv	AT hongweiyang applyingtheraschmodeltoevaluatetheselfdirectedonlinelearningscalesdolsforgraduatestudents AT jiansu applyingtheraschmodeltoevaluatetheselfdirectedonlinelearningscalesdolsforgraduatestudents AT kellydbradley applyingtheraschmodeltoevaluatetheselfdirectedonlinelearningscalesdolsforgraduatestudents
_version_	1718376543302975488

Applying the Rasch Model to Evaluate the Self-Directed Online Learning Scale (SDOLS) for Graduate Students

Ejemplares similares