A computer-assisted method is disclosed for determining a potential effectiveness of a survey question. The disclosed method includes segregating a plurality of responses to a survey question into a plurality of categories, and determining a response distribution for each of the plurality of categories. The disclosed method also includes calculating a box score and a difference score for the survey question from the response distributions, and using the box score and the difference score to obtain an effectiveness score for the survey question.
CROSS-REFERENCE TO RELATED APPLICATION
This application relates to, claims priority to, and incorporates by reference herein in its entirety, the following pending U.S. Patent Application: Ser. No. 60/265,094, titled "Rosetta Methods", filed Jan. 31, 2001.
This invention relates to and incorporates by reference herein in their entirety, the following pending U.S. Patent Applications: Ser. No. 09/867,804, titled "Method and System for Clustering Optimization and Applications", filed 31 May 2001. Ser. No. 09/867,801, titled "Method and System for Clustering Optimization and Applications", filed 31 May 2001. Ser. No. 09/867,802, titled "Method and System for Clustering Optimization and Applications" filed 31 May 2001. Ser. No. 09/867,803, titled "Method and System for Clustering Optimization and Applications", filed 31 May 2001. Ser. No. 09/867,582, titled "Method and System for Clustering Optimization and Applications", filed 31 May 2001.
A survey document is provided on a server, for delivery to a client on a network, having questions and potential answers in a format defining branches of the questions. Programming instructions are also provided on the server for delivery to the client on the network. The instructions are for causing the client to render questions on a user interface from the survey document. The questions initially rendered include a first one of the questions. The instructions are also for causing the client to branch to and render on the user interface second or third ones of the questions responsive to the survey document and an answer received for the first question.
A computer implemented method to estimate a respondent's or a set of respondents' rank order with respect to a number of attribute options (i.e. alternative prices, features, benefits, ways of expressing benefits, brand names, slogans, logos, graphic treatments such as package design elements and any other stimuli that the researcher believes may influence the individual's opinion such as a statement, graphic or brief audio). The method can be used when the number of stimuli to be presented exceeds the number that can be presented at one time to a respondent, most typically, exceeding the number that can be legibly displayed on one computer screen for rank ordering by a respondent. The estimated rank order is highly accurate, especially for the highest ranked stimuli, but requires only a small fraction of the respondent input that would be needed to capture a complete rank order from that respondent. This abstract is provided as an aid for finding relevant disclosures and not as a limitation on the scope of the claims.
Disclosed are methods, systems, and processor program products that include executing an optimization scheme to obtain a first solution set, presenting the first solution set to at least two users, receiving rankings of the first solution set from the at least two users, aggregating the rankings, and, generating a second solution set based on the aggregated rankings. The optimization scheme can include a genetic algorithm. In embodiments, at least a part of the first solution set can be presented to the users based on the parts of the solution set associated with the user (e.g., user's knowledge).
Disclosed are methods, systems, and/or processor program products that include generating a population of genotypes, the genotypes based on at least one stimulus to a system, measuring at least one response of the system upon providing the population of genotypes to at least one model of the system, and, based on the measured at least one response of the system, performing at least one of: (a) applying at least one genetic operator to at least some of the population of genotypes, and iteratively returning to generating a population of genotypes, and (b) associating a condition of the system with at least one of the population of genotypes.
