I am working on analyzing data from a questionnaire, and I am unsure whether I have chosen the correct analysis for my research. I have chosen regression correlation, but I might be wrong.
Any input is much appreciated, as I am currently stuck.
I have 31 variables. One asks for self-reported success on a task. The other 30 are statements about specific factors connected to the environment where the task was executed.
I am looking for correlation; is high/low success rate (agree/disagree) correlated with high/low values(agree/disagree) in the factors.
Data is from 4 point-Likert scales (strongly disagree, disagree, agree, strongly agree) and divided into two groups (agree and disagree), and coded 1 and 2.
Is it correct to use correlation matrix (jamovi) and Spearman's rho for this analysis? Spearman (non-parametric) chosen as the variables violate normality.