Aside from that, I can see this filling a need for those whom are aware of the importance of statistical significance but do not have the time to look up the appropriate analysis function in R/SAS/SPSS/...
Aside from that, I can see this filling a need for those whom are aware of the importance of statistical significance but do not have the time to look up the appropriate analysis function in R/SAS/SPSS/...
For example, let's say people measure neuroticism exponentially, and an increase of one point means 10x perceived neuroticism. Because mean(log(x)) != log(mean(x)), the average won't be representative.
Everything else looks OK though: count, median, percentiles, a histogram.
Agreed, Likerts are definitely an area of controversy.
A couple references from Wikipedia about Likert-as-continuous:
Pro: http://www.ncbi.nlm.nih.gov/pubmed/20146096
Con: http://xa.yimg.com/kq/groups/18751725/128169439/name/1Likert...
Our stance is generally a pragmatic one. It's very common practice to analyze data this way, so we enable it. But if you want to analyze your Likerts as ordinal data, you can change the variable type to Ranks (ie Ordinal), where we handle the result as you'd expect (nonparametric test, no averages). Note that this feature is disabled in the demo.
Thanks!
edit: formatting