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ASSIGNMENT 7: INTERNAL UNFOLDING OF WINTER OLYMPIC SPORTS

This assignment will use the preference rating data for the Olympic winter sports stimuli. NOTE – you may run this assignment in SPSS, using PREFSCAL, or in R using smacofRect.

1. Use SPSS to read in the preference data (“Olympic_MASTER_preference_2018.txt”), posted in this session (see below). NOTE: to read in a character-string variable, use the (A#) format specification in the DATA LIST statement.

TITLE read in Winter Olympic sports data.

COMMENT the data are ratings: 9=most preferred, 1=least preferred.

DATA LIST FREE

/1 subj (A4) biathlon bobsled downhill figure hockey icedance

luge skiJump slalom snowbrd speedSkt XctySki.

BEGIN DATA

END DATA.

2. Run internal unfolding analyses using PREFSCAL, as follows. First, run analyses in 2 dimensions, using all four combinations of assumptions: (interval, matrix-conditional), (interval, row-conditional), (ordinal, matrix-conditional), (ordinal, row-conditional). [NOTE: you control these assumptions with the CONDITION and TRANSFORMATION subcommands of PREFSCAL.] Based on interpretability, which combination of assumptions seems to work best?

3. Using the best assumptions from Step 2, run the unfolding analysis in 1,2,3,4,5 dimensions. Based on a plot of normalized raw stress, which dimensionality seems best?