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1 vote
0 answers
26 views

Every time I run a statistical test, my n-value is doubled

I just finished collecting data for a small study with a within-subject design looking at caching behaviour and how it can be affected by a bird's surroundings. My study had three experimental ...
Alice's user avatar
  • 21
1 vote
2 answers
875 views

Friedman's test in SPSS gives different results from R and python

I have a repeated measurement of n=452 participants. The Friedman test of SPSS gives df=2, chi-square 36.970 whereas below is the output of R and python. I cannot explain this difference for chi-...
Artemis's user avatar
  • 51
1 vote
2 answers
857 views

Kendall’s Coefficient of Concordance (W) is different when calculate with two formula: SPSS VS python

I used the Friedman test to compare three repeated measures and I use Kendall’s Coefficient of Concordance (W) to get its effect size. SPSS uses this formula: F (from Friedman test)/n_f (k-1), and I ...
Artemis's user avatar
  • 51
10 votes
4 answers
20k views

Friedman's test is very significant, but its post hoc comparisons (SPSS) are not significant

I ran a non-parametric Friedman's test for my data in SPSS 22 and significantly rejected the null. That would mean that among the $k$ paired samples (3 in my case), there should be detected at least ...
Niksr's user avatar
  • 277
3 votes
0 answers
58 views

Test analysis - repeated measures

I lack the experience and can't find an answer anywhere at the moment. The situation is as follows: I would like to test a new device measuring the heart rate of a patient. For this, I have observed ...
Ihkavs's user avatar
  • 51
0 votes
0 answers
646 views

Significant Friedman's test vs. non-significant multiple comparisons

I am currently running a randomized, placebo-controlled, cross-over design for a new type of intervention. This intervention is compared to a placebo and another more conventional type of treatment. ...
D.B's user avatar
  • 1