Powerful and consistent analysis of likert-type ratingscales

Maurits Clemens Kaptein, Clifford Nass, Panos Markopoulos
2010 Proceedings of the 28th international conference on Human factors in computing systems - CHI '10  
Likert-type scales are used extensively in evaluations of interactive experiences, including usability evaluations, to obtain quantified data regarding participants' attitudes, behaviors, and judgments. Very often this data is analyzed using parametric statistics like the Student t-test or ANOVA. These methods are chosen to ensure higher statistical power of the test (which is necessary in this field of research and practice where sample sizes are often small), or because of the lack of
more » ... to handle multi-factorial designs nonparametrically. This paper presents to the HCI audience new developments from the field of medical statistics that enable analyzing multiple factor designs nonparametrically. We demonstrate the necessity of this approach by showing the errors in the parametric treatment of nonparametric data in experiments of the size typically reported in HCI research. We also provide a practical resource for researchers and practitioners who wish to use these new methods.
doi:10.1145/1753326.1753686 dblp:conf/chi/KapteinNM10 fatcat:47ip2lx6m5eoldxjvlfvguhyja