The purpose of this study was to determine if, how, and how much female gender roles have changed in Marvel Comics from the Silver Age (1960) to the present (2014) to help understand how popular culture portrays and treats female characters. The advantage of.Comic books, a form of American popular culture, offer a window into the past, allowing researchers to track societal changes over several decades. Effects of factors are estimated on a combination of several response variables. With the MANOVA, explanatory variables are often called factors. The main difference comes from the nature of the dependent variables: instead of a single one, we can study many of them. Multivariate Analysis of Variance (MANOVA)ĭescription of the MANOVA in XLSTAT General description The MANOVA uses the same conceptual framework as the ANOVA.The RV coefficient is defined as (Robert and Escoufier, 1976 Schlich, 1996): RV(Wi,Wj) = trace(Wi,Wj). RV coefficient: definition This tool allows computing the RV coefficient between two matrices of quantitative variables. What is the RV coefficient? The RV coefficient depicts the similarity between two matrices of quantitative variables or two configurations resulting from multivariate analysis. It will allow you to generate the setting of a sensory discrimination test including triangle test, duo-trio test… Designing an experiment is a fundamental step for anyone who wants to ensure that data collected will be statistically usable. Design of experiments for sensory discrimination testsĭesigning sensory discrimination tests in Excel with XLSTAT This tool allows you to create an experimental design in the context of sensory discrimination tests.For example, a cluster of diseased kidney tissue samples may be characterized by a high expression of a group of genes, compared to other samples. genes, proteins, metabolites) correspond to similar individuals (i.e. What is a heat map in an OMICS context? While exploring individuals/features matrices in an OMICS framework, it is interesting to examine how correlated features (i.e. It substitutes components for factors as. GSCA lies in the tradition of component analysis. This method introduced by Hwang and Takane (2011), allows to optimize a global function using an algorithm called Alternating Least Square algorithm (ALS). What is Generalized Structured Component Analysis (GSCA) GSCA is a component based structural equation model method and can be used as PLS Path Modeling. Generalized Structured Component Analysis (GSCA).This test assumes that the data corresponds to a sample extracted from a population that follows a normal distribution. What is the Grubbs test Grubbs (1950, 1969, 1972) developed several tests in order to determine whether the greatest value or the lowest value (Grubbs test) are outliers, or, for the double Grubbs test, whether the two greatest values or the two lowest ones are outliers.
#Discriminate in xlstat trial
Superiority trials: A superiority trial is one where you want to demonstrate that one. Three types of trials can be studied: Equivalence trials: An equivalence trial is where you want to demonstrate that a new treatment is no better or worse than an existing treatment. Power and sample size analysis in clinical trials XLSTAT-Power enables you to compute the necessary sample size for a clinical trial. It may happen that the physico-chemical properties of a product are not sufficient to assess the quality of a product with respect to the period in which it is consumed. What is sensory shelf life analysis Sensory shelf life analysis is used to evaluate the ideal period for consumption of a product using sensory evaluation of assessors at different times/dates. The products included in the market do not have to be part of the tested products. Once the analysis has been performed, the major advantage of conjoint analysis is its ability to perform market simulations using the obtained utilities. Principle of simulation for conjoint analysis Conjoint analysis is a comprehensive method for the analysis of new products in a competitive environment. It is especially appropriate in the case. Technically, for a given period, the cumulative incidence is the probability that an observation still included in the analysis at the beginning of this period will be affected by an event during the period. What is cumulative incidence Cumulative incidence investigates disease frequency at a certain period of time. It is often called competing risks case.