Measuring Association Between Continuous and Categorical Variables
- March 1, 2018 at 5:46 pm #55951
For a study I’m planning, I’m not sure of the right way to measure association and/or correlation between 2 variables, where one is a continuous variable (dependent), and the other is dichotomous categorical independent variable (independent).
The study looks at the relationship between ‘amount of time (# days) it takes for a patient’s blood sample to be processed by the laboratory’ and ‘whether or not the patient actually receives the test/result (yes/no)’. The null hypothesis is that there is no association between # of days to process blood sample in the lab and whether or not patient receives the test result.
So it is “whether patient receives his/her test results” (dichotomous categorical variable, independent) as a function of “blood sample processing time” (continuous variable, dependent).
The data is from 422 patients (for each, I have the # days and whether the patient received results). I believe the central limit theorem applies for distribution for sample processing time data points (# days).
Do you know what statistical test and measure would be most appropriate to assess association and correlation for this situation? Also, is association or correlation the better measure to use?
Many thanks!March 2, 2018 at 6:44 am #202336
You posted this same question back on 25 February and we gave you the answer – is this post in error or is there something else you want to know?March 7, 2018 at 9:19 am #202354
You must be logged in to reply to this topic.