Likert-type scales, statistical methods, and effect sizes

Communications of the ACM

Volumn 55, Issue 5, 2012, Pages 6-7

  Robertson, Judy ^a  

^a HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EFFECT SIZE; INTERVAL DATA; NON-PARAMETRIC STATISTICAL TESTS; NON-PARAMETRIC TEST; NONPARAMETRIC METHODS; ORDINAL DATA; PARAMETRIC TEST; STATISTICAL TECHNIQUES;

NORMAL DISTRIBUTION; RESEARCH; STATISTICAL TESTS; SURVEYS;

BEHAVIORAL RESEARCH;

EID: 84861166930     PISSN: 00010782     EISSN: 15577317     Source Type: Journal    
DOI: 10.1145/2160718.2160721     Document Type: Article

References (5)

1. Erceg-Hurn, D. M. and Mirosevich, V. M. (2008). Modern robust statistical methods: an easy way to maximize the accuracy and power of your research. The American psychologist, 63(7), 591-601. doi: 10.1037/0003-066X.63.7.591.
2. Grissom, R. J. (1994). Probability of the superior outcome of one treatment over another. Journal of Applied Psychology, 79(2), 314-316. doi: 10.1037/0021-9010.79.2.314.
3. Kaptein, M. C., Nass, C., and Markopoulos, P. (2010). Powerful and consistent analysis of likert-type ratingscales. Proceedings of the 28th international conference on Human factors in computing systems -CHI '10 (p. 2391). New York, NY: ACM Press. doi: 10.1145/1753326.1753686.
4. Randolph, J., Julnes, G., Sutinen, E., and Lehman, S. (2008). A Methodological Review of Computer Science Education Research. Journal of Information Technology Education, (7), 135-162. www.jite.org/documents/Vol7/ JITEv7p135-162Randolph322.pdf.
5. Kaptein M. and Robertson, J. (In press). Rethinking Statistical Methods for CHI. Accepted for publication in CHI 2012, Austin, TX. http://judyrobertson. typepad. com/files/chi2012-submission-final.pdf