Analyzing Max-Diff Using the Rank-Ordered Logit Models With Ties
The Rank-Ordered Logit Model With Ties is a model specifically designed for analyzing rankings that contain ties (i.e., partial rankings). Max-Diff experiments can be viewed as partial rankings. Consider an experiment where a respondent is shown five options: A, B, C, D and E. If the respondent chooses C as Best and E as worst this can be viewed as a partial ranking with C given the highest rank, A, B and D in equal second place and E ranked last (i.e., C > A = B = D > E).
Worked examples using the rank-ordered logit model with ties are presented in:
- Analyzing Max-Diff Using the Rank-Ordered Logit Model With Ties Using R
- Max-Diff Analysis Case Study Using R
- Max-Diff Analysis
- Counts Analysis of Max-Diff Data.
- Analyzing Max-Diff Using Standard Logit Models.
- Max-Diff Analysis Case Study Using R.
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