Preference mappingPreference mapping is part of:
MX Market research and sensory analysis software
- Versions: 9x/Me/NT/2000/XP/Vista/Win 7/Win 8
- Excel: 97 and later
- Processor: 32 or 64 bits
- Hard disk: 150 Mb
- Mac OS X:
- OS: OS X
- Excel: X, 2004 and 2011
- Hard disk: 150Mb.
Easy and user-friendly
Easy and user-friendly XLSTAT is flawlessly integrated with Microsoft Excel which is the most popular spreadsheet worldwide. This integration makes it one of the simplest available tools to work with as it utilizes the same philosophy as Microsoft Excel. The program is accessible in a dedicated XLSTAT tab. The analyses are grouped into functional menus. The dialog boxes are user-friendly and setting up an analysis is straightforward.
Data and results shared seamlessly
Data and results shared seamlessly One of the greatest advantages of XLSTAT is the way you can share data and results seamlessly. As the results are stored in Microsoft Excel, anyone can access them. There is no need for the receiver to have an XLSTAT license or any additional viewer which makes your team-work easier and more affordable. In addition, results are easily integrable into other Microsoft Office software such as PowerPoint, so that you can create striking presentation in minutes.
Modular XLSTAT is a modular product. XLSTAT-Pro is a core statistical module of XLSTAT which includes all the mainstream functionalities in statistics and multivariate analysis. More advanced features contained in add-on modules can be added for specific applications. This way you can adapt the software to your needs making the software more cost-efficient.
Didactic The results of XLSTAT are organized by analysis and are easy to navigate. Moreover useful information is provided along with the results to assist you in your interpretation.
Affordable XLSTAT is a complete and modular analytical solution that can suit any analytical business needs. It is very reasonably priced so that the return of your investment is almost immediate. Any XLSTAT license comes with top level support and assistance.
Accessible - Available in many languages
Accessible - Available in many languages We have ensured XLSTAT is accessible to everyone by making the program available in many languages, including Chinese, English, French, German, Italian, Japanese, Polish, Portuguese and Spanish.
Automatable and customizable
Automatable and customizable Most of the statistical functions available in XLSTAT can be called directly from the Visual Basic window of Microsoft Excel. They can be modified and integrated to more code to fit to the specificity of your domain. Adding tables and plots as well as modifying existing outputs becomes easy. Furthermore, XLSTAT includes some special tools on the dialog boxes to generate automatically the VBA code in order to reproduce your analysis using the VBA editor or to simply load pre-set settings. This effortless automation of routine analysis will be a huge time saver on your part.
What is preference mapping?
Preference Mapping allows to build maps which are useful in a variety of domains. A preference map is a decision support tool in analyses where a configuration of objects has been obtained from a first analysis (PCA, MCA, MDS), and where a table with complementary data describing the objects is available (attributes or preference data).
There are two types of preference mapping methods:
- External preference mapping or PREFMAP, which is detailled here.
- Internal preference mapping
What can I learn using preference mapping?
In the market research and consumer analytics domains (sensory data analysis), "Prefmap" is used to analyze products (the objects) and to answer questions such as:
- How is our product positioned compared with the competitors' products?
- Which product is the closest to ours?
- Which type of consumer prefers my product?
- Why are the competitors' products positioned as such?
- How can I reposition my product so that it fits better my target group?
- What success can I expect from my product?
- Which new products should I encourage the R&D department to create?
Preference mapping provides a powerful approach to optimizing product acceptability.
Preference mapping projection methods
XLSTAT-MX offers several regression models to project complementary data on the objects maps:
- Vector model,
- Circular ideal point model,
- Elliptical ideal point model,
- Quadratic ideal point model.
XLSTAT results for preference mapping
XLSTAT-MX displays detailed results in addition to the preference map to facilitate the interpreting of results.
The preference map is a summary view of three types of element: The judges (or groups of judges if a classification of judges has been carried out beforehand) represented in the corresponding model by a vector, an ideal point (labeled +), an anti-ideal point (labeled -), or a saddle point (labeled o); The objects whose position on the map is determined by their coordinates; The descriptors which correspond to the representation axes with which they are associated (when a PCA precedes the PREFMAP, a biplot from the PCA is studied to interpret the position of the objects as a function of the objective criteria).
The PREFMAP, with the interpretation given by the preference map is an aid to interpretation and decision-making which is potentially very powerful since it allows preference data to be linked to objective data. However, the models associated with the judges must be adjusted correctly in order that the interpretation is reliable.
The preference score for each object for a given judge, whose value is between 0 (minimum) and 1 (maximum), is calculated from the prediction of the model for the judge. The more the product is preferred, the higher the score. A preference order of objects is deducted from the preference scores for each of the judges.
The contour plot shows the regions corresponding to the various preference consensus levels on a chart whose axes are the same as the preference map. At each point on the chart, the percentage of judges for whom the preference calculated from the model is greater than their mean preference is calculated. In the regions with cold colors (blue), a low proportion of models give high preferences. On the other hand, the regions with hot colors (red) indicate a high proportion of models with high preferences.