0
votes
1answer
189 views

Non parametric test on unequal groups and repeated measures data

I am recording animal behaviour in four different conditions but in the same environment. So my data are several values (the number of which vary) representing the frequency of a single behaviour for ...
1
vote
0answers
133 views

Significant factor in 2-way repeated ANOVA becomes not significant in 3-way repeated ANOVA?

My research design is 2(Ear) x 3(Factor A) x 3(Factor B) with repeated measures on all factors. For 2 way-repeated ANOVA, I used laterality index (normal distribution, calculated from % of responses ...
1
vote
2answers
2k views

Testing normality assumptions for linear mixed models and mixed (repeated) GLM ANOVA in SPSS

I have a mixed design that includes both repeated (condition) and between (sex and genotype) subjects factors. I would like to assess whether my data meets the normality assumptions for 1) General ...
2
votes
2answers
2k views

Repeated measures ANOVA or Friedman test?

I have a study with 35 subjects who received hypercoagulability testing at 4 different times (before surgery, after, at 1 week, and at 1 month). Each subject has 9 different test of hyper ...
2
votes
3answers
1k views

How robust is ANOVA to violations of normality?

I have several dependant variables that are non normal in distribution: Kolmogorov-Smirnov test is significant, skewness ranges up to 8 for some variable, and kurtosis is generally about 2 but in a ...
3
votes
2answers
134 views

Best way to compare software usage data over time across independent conditions?

I created a software platform on which about 110 participants could contribute at any time of their choosing over the course of 12 weeks (think something like a wiki). These participants were then ...
4
votes
3answers
2k views

Testing the normality assumption for repeated measures anova? (in R)

So assuming that there is a point in testing the normality assumption for anova (see 1 and 2) How can it be tested in R? I would expect to do something like: ...