IFPrograms™ Hedonic Data Analyses

This section of the software focuses on the univariate analysis of hedonic data.  Three main types of data are considered here:

- Paired preference: The analysis can be based on forced choice data (“Do you prefer A or B?”) or involve a ‘No preference’ option (“Do you prefer A or B, or do you have no preference?”).  Analyses provide one-tailed and two-tailed probabilities, along with the d’ value and its variance.  The no preference analysis also provides the predicted identicality norm, i.e., the expected score distribution if identical products had been presented.  Replicated forced choice data can be analyzed using the beta-binomial analysis option.

- Acceptance: The data from the 9-point hedonic scale or from hedonic scales with alternative number of categories (5, 7, 10 …) can be analyzed using this option.  Significant differences among the samples are outlined, and d’ values and their variances are also provided.

- Just-About-Right: JAR data (“Is this product too hard, too soft or just about right?”) can be investigated with this analysis.  Any number of categories can be used, but the total should be an odd number.  Information provided includes potential significant difference from the optimal product, distance of the sample to the optimum and the expected score distribution of an ideal product.

Hedonic testing is available in the Tools, Standard, Enhanced and Professional versions.

Sample output/results windows generated when performing these tests are shown below. For more examples, please see the IFPrograms™ User Manual.

No Preference



Discrimination          Ratings          Multivariate          Combinatorial