In my research study i have taken both categorical and continuous variables.To find out the relationship between categorical such as age,gender,marital status,salary and job satisfaction which statistical test is suitable.
Hi Vasudha,
If you are using SPSS, you need to make sure whether the data is normal or not. Then you can decide which analysis you should use to testing the relationships. But in your case, since you have categorical variables, I reckon chi-square is a suitable test.
Here I attach a reference book by Pallant. A step-by-step guide.
Hope it helps.
Aliff
For the variables salary, job satisfaction, and level of education, calculating the correlation works fine; they are all ordinal or continuous variables.
For gender, you have to two chose two genders if you want to calculate the correlation, typically male and female; but you could choose female (= 1) vs. non-female (= 0). Ignore missing missing responses. Responses that don't fit into your two categories should also also be ignored in the calculation.
For marital status, it's more complicated. You need to choose categories, but not more than 2 categories since, like gender, it's not measured on an ordinal scale. You could say 0 = never married and 1 = everything else. Or you could say that 0 = never married and 1 = married and count all the other values as missing data. It's up to you to choose the categories that are the most meaningful.
Thank you so much, sir, for the prompt response. My data is not normal and in my study, I have made categories for all demographic variables (e.g. Age-25-35,35-45,45-55,55-65) likewise for the other variables so can I run correlation between categorical and continuous data(job satisfaction).
Vasudha, If you made categories for all demo variables have you considered making categories for your job satisfaction variable. This could simplify the whole process and reduce the problem with non-normal data.
You can also take a look at using non-parametric statistics.
Good luck
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