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Temporal Dominance of Sensations (TDS)
What is Temporal Dominance of Sensations (TDS)? Temporal Dominance of Sensations (TDS) is a temporal multidimensional sensory method (Pineau, Cordelle & Schlich, 2003). Panellists are presented with a list of attributes and asked to choose the dominant ones over consumption of the product. A dominant attribute is the most striking perception at a time, not necessarily the most intense one (Pineau...
Statistical Power for mean comparison
Statistical Power analysis for the comparison of means There are several tests to compare means, in XLSTAT we offer namely the t and z tests. XLSTAT allows estimating the power of these tests and calculates the number of observations required to obtain sufficient power. Power computations can also be applied for the Wilcoxon signed rank test and the Mann-Whitney test. When testing a hypothesis using...
Statistical Power for Cox model
Statistical Power for Cox model XLSTAT-Life Sciences offers a tool to apply the proportional hazards ratio Cox regression model. XLSTAT-Power estimates the power or calculates the necessary number of observations associated with this survival analysis model. What is Statistical Power for Cox model? What is Statistical Power? When testing a hypothesis on data using a statistical test, there are several...
Free Sorting data analysis
What is Free Sorting data analysis? Free Sorting tests are becoming more and more popular as part of the sensory characterization of products. They are easy to build and easy to answer. The principle is as follows: each participant is asked to group the products presented to him/her. Each cluster thus represents a set of products that are very similar for the assessor who built it. The number of groups...
Simulation for conjoint analysis
Principle of simulation for conjoint analysis Conjoint analysis is a comprehensive method for the analysis of new products in a competitive environment. Once the analysis has been performed, the major advantage of conjoint analysis is its ability to perform market simulations using the obtained utilities. The products included in the market do not have to be part of the tested products. Outputs from...
JAR multivariate analysis and clustering
WHAT IS JAR MULTIVARIATE ANALYSIS AND CLUSTERING? JAR data is often only processed with penalty analysis, but they are packed with other information. In fact, just like the other tests, they can be used to describe products, to see similarities and differences, and so on. Performing a multivariate analysis and, at the same time, creating a map of products with their descriptions is very instructive....
Descriptive statistics (including Box plots and scattergrams)
Before using advanced analysis methods like, for example, discriminant analysis or multiple regression, you must first of all reveal the data in order to identify trends, locate anomalies or simply have available essential information such as the minimum, maximum or mean of a data sample. XLSTAT offers you a large number of descriptive statistics and charts which give you a useful and relevant preview...
MaxDiff analysis
What is MaxDiff analysis MaxDiff or Maximum Difference Scaling (also called BWS for Best Worst Scaling) is a method introduced by Jordan Louvière that allows you to obtain the importance of attributes. Attributes are presented to a respondent, and they must choose the best and worst attributes (most important / least important). Two steps are needed to apply this method. First, a design must be generated...
Sentiment Analysis
Description of the Sentiment Analysis Sentiment analysis is the process of extracting an author's emotional intent from the text (Ted Kwarler, 2017). Sentiment analysis allows you to label a comment, a book, or in general a document. The document can be labeled as a positive, negative, or neutral opinion. When to use sentiment analysis? Sentiment analysis helps companies to understand customers' reviews...
Create a products/assessors table
WHY CREATE A PRODUCTS/ASSESSORS TABLE? Sensory data can be presented in two ways: Vertical form: This is a table with as many rows as samples. One column is dedicated to the product identifier, another to the assessor identifier, and the remaining columns correspond to descriptors such as sweetness, acidity, etc. Horizontal form: This is a table with as many rows as products. The number of columns...