Hi,
I am running statistics on a questionnaire I have conducted. On a particular question, I have two predictor variables that I know correlate somewhat with each other. Both predictor variables are statistically significant on their own (tested using Chi square). When I use logistic regression neither of them are statistically significant. I want to perform a kind of power analysis to check whether or not this might be because of low power (in that case a possible type II error).
Response variable: Dichotomous
Predictor variable 1: Ordinal
Predictor variable 2: Nominal
R¨2 between predictor variables: 0.35
Let' say the question has the alternatives yes/no.
I hope you understand what I mean, do not hesitate to point out any flaws in my reasoning. Can anyone give me helpful advice on how to proceed? Thankyou in advance.
I am running statistics on a questionnaire I have conducted. On a particular question, I have two predictor variables that I know correlate somewhat with each other. Both predictor variables are statistically significant on their own (tested using Chi square). When I use logistic regression neither of them are statistically significant. I want to perform a kind of power analysis to check whether or not this might be because of low power (in that case a possible type II error).
Response variable: Dichotomous
Predictor variable 1: Ordinal
Predictor variable 2: Nominal
R¨2 between predictor variables: 0.35
Let' say the question has the alternatives yes/no.
Code:
Predictor variable 1: | 3 quantiles of Predictor 1 Answer | 1 2 3 | Total ----------------------+---------------------------------+---------- Yes | 16 42 28 | 86 No | 94 121 45 | 260 ----------------------+---------------------------------+---------- Total | 110 163 73 | 346 Predictor variable 2: | Region Answer | Northern Western E Southern Eastern E Other | Total ----------------------+-------------------------------------------------------+---------- Yes | 27 35 12 9 4 | 87 No | 33 90 82 44 15 | 264 ----------------------+-------------------------------------------------------+---------- Total | 60 125 94 53 19 | 351
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