I have survey data with ordinal/categorical data. Most of the time the answers to question are Yes/No. I want to compare the bar charts (normalized) of yes/no from participants who gave a particular answer to a previous question.
- Eg. Looking at users who answered yes to Q.4, then those that answered no to Q.4, did they answer similarly to Q.6? This will give two distributions/ratios for instance (0.4,0.6) and (0.35,0.65).
Should I use a Chi-squared test? Or use a measure of distribution distance similarity like the Jensen–Shannon divergence?