A Satisfaction Survey Analyzed as Nonparametric Mixed ANOVA Design with Aligned Rank Transformation

Satisfaction survey data from a University’s Science Fair was analyzed using nonparametric Mixed ANOVA (with aligned rank transformation). The dependent variable was the satisfaction score and the independent variables (between-subjects factors) were GENDER (male, female) and GROUP (student, exhibitor, and faculty). The variable ITEM (with seven items) was the within-subjects factor. A seven-item, 1-5 Likert scale (1-Very Poor, 2-Poor, 3-Satisfactory, 4-Good, 5-Excellent) questionnaire was administered to 162 respondents, randomly selected through proportionate stratified random sampling, and yielded 84.57% response rate. The seven items rated were Venue/place (VENUE), Inventiveness (INVENT), Commercial Viability (IMPACT), Educational Value (EDUC), Audio-Visual Presentation (PRESENT), Organization (ORGANIZE), and Overall Experience/Satisfaction (OVERALL). The instrument met validity test and reliability standard (Cronbach’s Alpha = 0.92). Aligned rank transformation was first applied to data using ARTool v2.1.2 by Elkin et al. (2021) before Mixed ANOVA and post hoc analysis were performed using SPSS v27. Results revealed that only the first order interaction of GENDER and ITEM was found statistically significant, F(5, 667) = 2.816, p = .016 (with Greenhouse-Geisser correction), small effect size ( η2 =0.02). Post hoc analysis using dependent t test with Bonferroni correction showed that there were differences between male and female attendees in terms of which items were given lesser favorable ratings.