# cramer's v

1. ### How can I intepret the effect sizes of Cramer's V when DF is high (like > 20)?

Dear All, I am doing Pearson Chi Square analyses in SPSS. Besides looking at the Chi Square Sig. value I also want to look at Cramer's V to analyze the effect sizes. My dataset has 12 million observations na I found a value of 0.12 for the Cramer's V. Standards for interpreting Cramer’s seem to...
2. ### Chi-Square vs t-test

Help! I am trying to compare observed education levels of a visiting group to the expected (known) education levels of the nation. These are my figures: Observed: 71% (have degree) 29% (no degree) Expected: 27% (have degree) 73% (no degree) If I use chi-square...
3. ### What is best method to calculate correlation for 2 nominal variables?

Hello, I am analyzing data that looks at several nominal variables (e.g. employment status, race, gender, etc.) to determine if it plays a factor in the person's adherence to medication (also a nominal variable). What is the best way to do that? From what I've read on the forums and...
4. ### Cramer's V

Hi all, Just have a question about Cramer's V. I'm doing some analysis on education levels of partners; male partners vs. female partners. In the first analysis I'm having two categories for each gender; university educated and non university educated (2*2). From this I'm generating a...
5. ### Cramer's V in XLSTAT

Hi all, I performed contingency table tests and I want to know how to interpret Cramer's V test stat. I am using Cramer's V as my tables violate basic Chi-square assumptions of theoretical frequencies >5, i.e. my freqs. <5 in tables such as below. Which p-value can I use to interpret the...
6. ### Post-hoc Power, effect size for Chi-square

I need help with my post-hoc power analysis, specifically the effect size: I measure children's successrate under four conditions. My dependent variable is nominal (specifically binary, with the values 0 (failed) and 1(succeeded)) My independent variable is nominal with four categories. My...
7. ### Making claims about effect size

Hi, I'm working with a very large sample, and have realized that almost any blip in the data will register as p=0.000 due to the sample size. Of course there is a big difference between statistical significance and actual significance. I've been reading up on strategies for calculating...