Hi It depends on what you are trying to determine with the data. If you are just interested in preferences of the 10 types, you could think about some count for each of the 10 objects (e.g., # times chosen first, # times chosen at all, or some other categorization). A chi2 could determine if there is significant variation in preference for the 10 types. If you had predictions, it is possible to partition the overall chi2, much as you would partition a main effect in anova with planned contrasts.
The trick in translating the individual trials to a numerical score is just using the rank, as you mentioned (e.g., 0, 1, 2, 3 for not chosen, 3rd, 2nd, and 1st) or determining the appropriate weighting for each rank to properly reflect the underlying preference dimension (e.g., 1, 2, 4, 8 if each rank doubles the preference). Such scores might make it easier to analyze group differences in preferences (e.g., by gender), although that could be done with the count data as well. Good luck Jim Jim Clark Professor & Chair of Psychology University of Winnipeg 204-786-9757 Room 4L41A (4th Floor Lockhart) www.uwinnipeg.ca/~clark -----Original Message----- From: Annette Taylor [mailto:[email protected]] Sent: December-27-15 12:01 PM To: Teaching in the Psychological Sciences (TIPS) Subject: [tips] back to the stats well I need to know if there even is an adequate statistical test, other than using descriptives for this situation: We asked people to order their number 1, 2, 3 choices from a list of 10 options. So 7 options were essentially all tied at 0. So this would be ranked and ordinal data to the best of my understanding. I wonder if we should have made them rank all 10? But we really weren't interested in anything less than the top three. We'd like to see whether there is a systematic, not attributable to chance way to characterize the choices that people made. Any ideas? I have been directed to a website that offers what seem to me to be partial solutions but I'd like to see if any of you have any other suggestions that are not biased by the other suggestion. Thanks! Annette Annette Kujawski Taylor, Ph. D. Visiting Professor, Ashoka University, Delhi, India [email protected] Professor, Psychological Sciences University of San Diego [email protected] --- You are currently subscribed to tips as: [email protected]. To unsubscribe click here: http://fsulist.frostburg.edu/u?id=13251.645f86b5cec4da0a56ffea7a891720c9&n=T&l=tips&o=47685 or send a blank email to leave-47685-13251.645f86b5cec4da0a56ffea7a89172...@fsulist.frostburg.edu --- You are currently subscribed to tips as: [email protected]. To unsubscribe click here: http://fsulist.frostburg.edu/u?id=13090.68da6e6e5325aa33287ff385b70df5d5&n=T&l=tips&o=47686 or send a blank email to leave-47686-13090.68da6e6e5325aa33287ff385b70df...@fsulist.frostburg.edu
