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The Likert scale analysis using parametric based Structural Equation Modeling (SEM)

Listed author(s):
  • Zainudin Awang

    ()

    (Faculty of Economics and Management Sciences, Universiti Sultan Zainal Abidin, Kampus Gong Badak, 21300 Kuala Terengganu, Malaysia.)

  • Asyraf Afthanorhan

    (Faculty of Economics and Management Sciences, Universiti Sultan Zainal Abidin, Kampus Gong Badak, 21300 Kuala Terengganu, Malaysia.)

  • Mustafa Mamat

    (Faculty of Economics and Management Sciences, Universiti Sultan Zainal Abidin, Kampus Gong Badak, 21300 Kuala Terengganu, Malaysia.)

The Likert scale is commonly used in survey research using primary and secondary data to measure the respondent attitude by asking insofar to which they agree or disagree with a particular questions. In generals, Likert scale would be preferred in the questionnaire development stage to ascertain the researchers conducting their research needed. However, the researchers nowadays are abuse to understand the nature of measurement scale in data analysis and thus causes the finding obtained are meaningless. This article is aimed to compare the performance of two categories of measurement scales which are 5 point and 10 points of Likert scales using the same sample size and research subject that would pave the way to understand the real different between both of these ranges using Structural Equation Modeling (SEM). Moreover, this study also interested to clarify briefly between two types of measurement scale namely ordinal and interval data. The findings reveal that 10 points of Likert scale is more efficient than 5 points of Likert scale in operating of measurement model.

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File URL: http://cmss.univnt.ro/wp-content/uploads/vol/split/vol_IV_issue_1/CMSS_vol_IV_issue_1_art.002.pdf
File Function: First version, 2016
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Article provided by "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences in its journal Computational Methods in Social Sciences (CMSS).

Volume (Year): 4 (2016)
Issue (Month): 1 (June)
Pages: 13-21

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Handle: RePEc:ntu:ntcmss:vol4-iss1-16-013
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