Which test: Compare TWO DEPENDENT groups (Paired, Matched, Same respondent groups)

Which stat test
When the research objective is to compare two dependent groups, which means they are paired, matched, and thus the same respondent groups in a pre- post-test, we have a choice among different statistical procedures, depending on the following variable characteristics:
 
Number of variables
One dependent variable and one independent categorical variable (two levels or groups)
 
Examples: 
  1. Are the means / frequencies (on the dependent variable) of the same respondents over two different time periods significantly different such as in a pre- post test?
  2. Are there significant differences (on the dependent variable) in the way the same respondents evaluated two different variables or objects measured at the same time such as their evaluation of product A on variable 1 and variable 2, or their evaluation of product A and product B on variable 1?

When the dependent variable is BINOMIAL / BINARY / DICHOTOMOUS
  1. McNemar’s test
 
When the dependent variable is NOMINAL
  1. Chi-square test
  2. Marginal Homogeneity test
 
When the dependent variable is ORDINAL / RANK-DATA
  1. Wilcoxon signed ranks test / Wilcoxon matched pairs test
  2. Marginal Homogeneity test
  3. Sign test (quite a low power test!)
 
When the dependent variable is INTERVAL and passed the assumption of normality (parametric data)
  1. Paired (dependant) t-test
 
When the dependent variable is INTERVAL but failed the assumption of normality (non-parametric data)
  1. Wilcoxon signed ranks test / Wilcoxon matched pairs test
  2. Sign Test
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