Developing an attitude scale towards distance learning

Birol Çelik and Hüseyin Uzunboylu

Behaviour and Information Technology, 2022, vol. 41, issue 4, 731-739

Abstract: This study aims to develop an attitude scale towards distance learning and conduct a validity and reliability study for it. The study uses two study groups. The first group comprises 384 university students conducting exploratory factor analysis, and the second comprises 305 students conducting confirmatory factor analysis. The analysis resulted in a 16 item, four-factor structure with factor loading values all between 0.45 and 0.94. This structure makes up for 54.4% of the total variance. The factors were named usefulness, communication, preference for distance learning, and preference for face to face learning. The confirmatory factor analysis results show that this model displays decent coherence. The reliability studies show that internal consistency coefficients are values all between 0.67 and 0.84. It was also discovered that the scale dimensions display no difference with regard to gender. These results show that this scale is a valid and reliable tool.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2020.1832576 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:41:y:2022:i:4:p:731-739

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2020.1832576

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().