Advance
Preprints are early versions of research articles that have not been peer reviewed. They should not be regarded as conclusive and should not be reported in news media as established information.
Full Article.docx (442.98 kB)
Download file

Userfriendlyscience Package of R Programming Language: A Veritable Tool for Reliability Estimate of Non-cognitive Scale

Download (442.98 kB)
preprint
posted on 2022-08-23, 21:57 authored by MUSA ADEKUNLE AYANWALEMUSA ADEKUNLE AYANWALE, Victor Mafone Alasa, Daniel Olutola Oyeniran

  

Having quality instruments is essential in ensuring data integrity. Indiscriminately application and over-dependency on Cronbach alpha index for multiple measured items (ordinal scale) and usage of SPSS software, which produce spurious estimation, have been a subject of technical debates in the literature. This debate toes the path of fulfilling stringent underlying assumptions of Cronbach alpha, such as uni-dimensionality, tau-equivalent, etc. However, modern approaches like ordinal alpha, Omega coefficient, GLB, Guttman Lambda, and Revelle Beta have been suggested with precise estimates and confidence intervals via R programming language. Thus, this paper examined the performance of alternative approaches to Cronbach alpha and documented practical step by step of establishing it. Non-experimental design of scale development research was adopted, and a multi-stage sampling procedure was used to sample N = 883 subjects that participated in the study. Findings showed that the instrument is multidimensional, in which Cronbach alpha is not apt for its estimation. Also, other forms of reliability methods produced better and more precise estimates, though their performance differs among themselves. The authors concluded that estimation of Cronbach Alpha using SPSS when the instrument is ordinal is absolutely not sufficient. Therefore, it is recommended that researchers explore and shift their paradigm from traditional reliability estimates through SPSS to modern approaches using an R programming language.

Funding

NO

History

Declaration of conflicts of interest

The authors declare no conflict of interest.

Corresponding author email

ayanwalea@uj.ac.za

Lead author country

  • South Africa

Lead author job role

  • Higher Education Lecturer

Lead author institution

University of Johannesburg

Ethics statement

Participants' informed consent was sought and voluntarily participated in the study.

Terms agreed

  • Yes, I agree to Advance terms

Comments (2)

Log in to write your comment here...

Its a very informative article. Read More

Agreed terms and conditions name style