Hi all,
I want to use a chi square test on 2 unequal samples. Both are in the hundreds so there is no issue with minimal cell count. I know that unequal sample size is not a problem for chi square test. However, I'm trying to find a stats book or a published article that I could refer to in order to make this argument in a manuscript. Anyone know of such a reference?
Hi there,
for example: Sheskin, 2004: Handbook of parametric and nonparametric statistical procedures.
Rather than referring to "sentence" in publication, I believe it is better to refer to different symbols depicting different numbers in each cell of contingency table, by which is this test commonly described. You can find it almost in every book about statistics.
Hi there,
for example: Sheskin, 2004: Handbook of parametric and nonparametric statistical procedures.
Rather than referring to "sentence" in publication, I believe it is better to refer to different symbols depicting different numbers in each cell of contingency table, by which is this test commonly described. You can find it almost in every book about statistics.
This is also a good one:
Greenwood, P. E., & Nikulin, M. S. (1996). A guide to chi-squared testing (Vol. 280). John Wiley & Sons.
hi. I would not even mention it or try to justify it. Thats just what the test is designed to do. If all the groups were equal there would be nothing to test.
liz
Check this out: Field, A. (2016). Discovering Statistics using IMB SPSS Statistics.
It's probably one of the best books you can find that has to do with statistics and the use of SPSS
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