Search
246 results found
Penalty analysis
What is penalty analysis Penalty analysis is a method used in sensory data analysis to identify potential directions for the improvement of products, on the basis of surveys performed on consumers or experts. Two types of data are used: Preference data (or liking scores) that correspond to a global satisfaction index for a product (for example, liking scores on a 9 point scale for a chocolate bar),...
Nelson-Aalen analysis
What is the Nelson-Aalen analysis The Nelson-Aalen analysis method belongs to the descriptive methods for survival analysis such as life table analysis and Kaplan-Meier analysis. The Nelson-Aalen approach can quickly give you a curve of cumulative hazard and estimate the hazard functions based on irregular time intervals. Nelson-Aalen analysis is used to analyze how a given population evolves with...
Liking data analysis
Description of a liking data analysis Liking data (also called hedonic data) are among the most collected in sensory analysis. They simply consist in asking the different subjects/consumers/assessors to give a score to the products, generally with a predefined scale on which they have to answer. Even though the idea behind liking data is very simple, the analysis of these data is rich. The first step...
Latent Semantic Analysis (LSA)
What is Latent Semantic Analysis? Latent Semantic Analysis (LSA) allows you to discover the hidden and underlying (latent) semantics of words in a corpus of documents by constructing concepts (or topic) related to documents and terms. The LSA uses an input document-term matrix that describes the occurrence of group of terms in documents. It is a sparse matrix whose lines correspond to documents and...
Taguchi designs
What is Taguchi method? The Taguchi method is a method introduced by Genichi Taguchi (Genichi and Wu, 1980) which is a method of design of experiment providing an improvement to full and fractional factorial designs. Two steps are needed to apply that method: A step of generation of the Taguchi design during which it is possible to choose from a list of designs according to the number of factors and...
CATATIS
What is CATATIS method and when to use it? The CATATIS method is an improvement of the usual method for processing CATA data. It is considered as the equivalent of the STATIS method for this type of data. The great interest of CATATIS lies in the fact that atypical assessors have a lower weight than those who agree with the rest of the panel. Therefore, the analysis best reflects the general point...
Analysis of a surface response design
What is an analysis of surface response design? The analysis of a surface response design uses the same statistical and conceptual framework as linear regression. The main difference comes from the model that is used. Options for the Analysis of surface response design in XLSTAT Responses optimization and desirability In the case of many response values y1, ..., ym it is possible to optimize each...
STATIS
What is the STATIS method? The STATIS method is a multi-configuration data analysis method most used in sensometry. The configurations can be various assessors, subjects or judges. STATIS can be particularly used in the case of projective mapping / Napping, conventional profiling, and free choice profiling. The great interest of STATIS is that atypical configurations have a smaller weight than this...
PROCESS : MODERATION AND MEDIATION
PROCESS is a method that is complementary to the PLS-SEM approach and is very popular in the field of marketing as well as in the social and behavioral sciences. PROCESS is decomposed around two main concepts: mediation and moderation. Mediation analysis is used to test hypotheses clarifying the various intermediate mechanisms by which causal effects arise, while moderation analysis is used to explore...
Latent Class cluster models
What is Latent Class Analysis? Latent class analysis involves the construction of Latent Classes which are unobserved (latent) subgroups or segments of cases. The latent classes are constructed based on the observed (manifest) responses of the cases on a set of indicator variables. Cases within the same latent class are homogeneous with respect to their responses on these indicators, while cases in...