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ERIC Number: EJ907373
Record Type: Journal
Publication Date: 2010-Dec
Pages: 8
Abstractor: As Provided
Reference Count: 19
ISBN: N/A
ISSN: ISSN-1382-4996
Likert Scales, Levels of Measurement and the "Laws" of Statistics
Norman, Geoff
Advances in Health Sciences Education, v15 n5 p625-632 Dec 2010
Reviewers of research reports frequently criticize the choice of statistical methods. While some of these criticisms are well-founded, frequently the use of various parametric methods such as analysis of variance, regression, correlation are faulted because: (a) the sample size is too small, (b) the data may not be normally distributed, or (c) The data are from Likert scales, which are ordinal, so parametric statistics cannot be used. In this paper, I dissect these arguments, and show that many studies, dating back to the 1930s consistently show that parametric statistics are robust with respect to violations of these assumptions. Hence, challenges like those above are unfounded, and parametric methods can be utilized without concern for "getting the wrong answer". (Contains 1 table and 1 footnote.)
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Publication Type: Journal Articles; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A