Hi
I have 4 IV (categorical data) - age, gender, ethnicity, job position
and 1 DV (continuous data) - muscle strength
What is the most suitable statistical analysis because I want to find which factor (age, gender, ethnicity, job position) contributed the most toward the muscle strength?
Thanks!
You can perform an OLS regression model, although ethnicity and gender should be recoded into a dummy variable. I assume that job position is a variable with a lot of different possible jobs, which is not usable for a regression model (or quantitative research in general). You could try to narrow it down to a few different categories, using each category as a dummy variable with one category used as reference category. Age can be seen as a continuous variable and should not be a problem for OLS regressions.
Timo Van Canegem is totally right, in any case age can be used as a continuous variable, with respect to dummy binary variables (any categorical variable with a number = p of categories can be dissected into p yes/no variables) they behave in the same way that continuous variables in regression modeling as aptly demonstrated by Cox (see attached)
If you have collexted the data from a singke population at multiple time. Apply ANOVA
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