Hi guys,
I've been asked to run some analyses on some survey data and since it's been a long time since i ran one, I just wanted to check I'm not overlooking some assumptions assoicated with the chi-square test of independence as the text books I've been referring to are quite basic.
The categories are all independent and none of the expected cell counts are below 5 but total count for each variable is often dramatically different (e.g. 155 and 279 or 71 and 361). I can't find anything suggesting that this is a problem, but it's just not sitting right.
thanks
I've been asked to run some analyses on some survey data and since it's been a long time since i ran one, I just wanted to check I'm not overlooking some assumptions assoicated with the chi-square test of independence as the text books I've been referring to are quite basic.
The categories are all independent and none of the expected cell counts are below 5 but total count for each variable is often dramatically different (e.g. 155 and 279 or 71 and 361). I can't find anything suggesting that this is a problem, but it's just not sitting right.
thanks
