in order to know which production the custumer most like,i design a question as follow : Q:there are six production listed below.according to your preference,the production you like most is_____,the production you secondly like is ____,and the third is_____. productionA productionB productionC productionD productionE productionF when the data is collected. i type in a stata in such format: firstlike secondlike thirdlike A C D E A E 仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃 if i want to make a decision what production should i choose as my main production according to the survey,what statistical method should i use to analysis my data ? my aim is to let the analysis result support my descision. any suggestion is appreciated. thank you .
On 05/16/04 00:23, vinkwai wong wrote:>in order to know which production the custumer most like,i design a question as follow >: > >Q:there are six production listed below.according to your preference,the production >you like most is_____,the production you secondly like is ____,and the third is_____. >productionA productionB productionC productionD productionE >productionF > >when the data is collected. i type in a stata in such format: > >firstlike secondlike thirdlike >A C D >E A E >仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃 > >if i want to make a decision what production should i choose as my main production >according to the survey,what statistical method should i use to analysis my data ? > >my aim is to let the analysis result support my descision.This isn't an R question yet, so it is off topic, but let me answer in that spirit. (It may become an R topic when it gets to the point of converting the ranks into numbers, but you didn't ask about that.) I don't think this is a statistical question so much as a question about decision making (my field, sort of). And my answer would be that you need to think about your goals (what you are trying to achieve) and also about what could be producing these rankings. You mention customers. If you are trying to produce something that competes in a market, you need to think about market share. If there are competitors, you need to think about them. It could be that the best option is not the one with the highest ranking but rather the one that fills a gap (niche) in the market that nobody else is filling very well. If, on the other hand, these judgments are simply expert opinions about the answer to the same question, then your task is simpler. You might make some simplifying assumptions, which would allow you to base your decision on the average rank of each option. There are other models you could apply, such as the Rasch model, or various models in the same spirit that often go under the name of "random utility" models, although most of them derive in some way from Thurstone scaling. If the judgments are votes, then it would depend on what you told the voters. There are various methods for getting winners out of rankings, but they make sense only if the voters know in advance which method would be used. Two of these are the Borda count (which essentially adds the ranks) and the "single transferable vote" or "instant runoff," which looks for a majority winner from the first ranks, then, if it doesn't get one, takes the biggest loser's second-place votes and adds them, and so on. Finally, you could do some sort of cluster or classifcation analysis on your subjects, to see if they really fall into distinct groups with very different opinions. I have used R for many of the things I just listed (but not all), so I might be able to provide examples. Jon -- Jonathan Baron, Professor of Psychology, University of Pennsylvania Home page: http://www.sas.upenn.edu/~baron R page: http://finzi.psych.upenn.edu/
IMHO Conjoint-Analysis and MarketSimluations - there exist some nice extensions for practical problems like adaptive-conjoint-analysis , choice-based conjoint analysis etc. christian Am Samstag, 15. Mai 2004 18:23 schrieb vinkwai wong:> in order to know which production the custumer most like,i design a > question as follow : > > Q:there are six production listed below.according to your preference,the > production you like most is_____,the production you secondly like is > ____,and the third is_____. productionA productionB productionC > productionD productionE productionF > > when the data is collected. i type in a stata in such format: > > firstlike secondlike thirdlike > A C D > E A E > 仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃仭伃 > > if i want to make a decision what production should i choose as my main > production according to the survey,what statistical method should i use to > analysis my data ? > > my aim is to let the analysis result support my descision. > > any suggestion is appreciated. > > thank you . > > ______________________________________________ > R-help at stat.math.ethz.ch mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html
Jason.L.Higbee@stls.frb.org
2004-May-16 21:05 UTC
[R] Re: what statistical method should i use?
As mentioned by Baron, you should think deeper about the question(s) you would like to answer and the context of those questions. Statistical analysis should hopefully also have a theoretical basis. As for the voting you have mentioned.>Q:there are six production listed below.according to your preference,theproduction>you like most is_____,the production you secondly like is ____,and thethird is_____.>productionA productionB productionC productionDproductionE>productionF > >when the data is collected. i type in a stata in such format: > >firstlike secondlike thirdlike >A C D >E A E >¡¡¡¡¡¡¡¡¡¡¡¡¡¡It is very tricky to analyze, so you should be up on the theoretical developments of this type of voting. Look to: The Arrow impossibility theorem and Condorcet's paradox. http://en.wikipedia.org/wiki/Arrow's_impossibility_theorem http://en.wikipedia.org/wiki/Voting_paradox Though it doesn't seem ideal "every (unimposing) voting method which chooses between three or more candidates, must be either dictatorial or manipulable (i.e. susceptible to tactical voting)." http://en.wikipedia.org/wiki/Gibbard-Satterthwaite_theorem In my opinion, the statistical methods used should just be descriptive statistics. Then think about what they are showing, with the aforementioned theorems in mind, in the context of ultimate question you are trying to answer. Jason Higbee Research Associate Federal Reserve Bank of St. Louis E: jason.l.higbee@stls.frb.org [[alternative HTML version deleted]]