What does Chi-Square show in Friedman Analysis??
Hi everyone!
So my dissertation is due in one week :,-(
I have done a Friedman Analysis on my data. The SPSS output gives a Chi-Sqaure value, a df value and Asymp. Sig value.
1. What is the point of the Chi-Square? What does it tell me about my results?!
2. I still don't get what degrees of freedom are all about.
If you're clever and you know, pretty please help me :-D xxx
2007-03-10
13:29:24
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4 answers
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asked by
Ejsenstejn
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My answer:
1. The point of the chi square test is to tell you if the data that you have could have been occurred by chance. If the probability of this happening given the null hypothesis is true is larger than 5% (p > 0.05) we say that the results are "not significant", as it is too likely that they could have happened purely by chance.
2. The more subjects (or data points) you have, the more degrees of freedom you have. For example, if I tell you that the mean is 4 and you have 3 subjects, you have 2 degrees of freedom. Knowing 2 data points and the mean will determine the third. The number of degrees of freedom influences how much of an effect you have to have in order to reach significance. Typically, the more denominator degrees of freedom you have (subjects), the less of an effect you need to reach significance. The more numerator degrees (categories), the more of an effect you need to reach significance.
Chi squares tests are appropriate for data on the nominal scale level.
2007-03-10
13:30:46 ·
update #1
Google cache is great.
2007-03-10
13:31:24 ·
update #2
a) Yes, question deleted by questioner.
b) I guess I deserve what I got. Good point.
2007-03-10
13:39:49 ·
update #3