Hi Michelle,

:-) Thank you!!

I didn’t run principal components analysis to group the items. I think 36 participants seem like too small sample to do this? The rational for the grouping from the pilot study is based on my theoretical assumptions which align with the results from the pilot study (In my theory two or three items are selected). I think this might be reasonable!?.

I did check the normality (Shapiro-Wilk) and homogeneity (Levene’s) of each item in these three different conditions. I found something really confusing me, for example A item is not normally distributed in one condition but normally distributed in the other two conditions. And some items’ variances are not significantly different but some are.

In order to move on, I have checked both parametric (ANOVA and Tukey' comparison) and non-parametric (Friedman test and Wilcoxon Signed Ranks test) with 4 characterised groups based on the results from my pilot study. I found that the results are the same.

In this case, I don’t know whether I should report both types of test or just choose to report non-parametric tests? Do you have any idea? Thank you.

C_SH

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