Search results for "multiple-response dimensionality test of dependence"

showing 1 items of 1 documents

A multiple-response chi-square framework for the analysis of Free-Comment and Check-All-That-Apply data

2021

International audience; Free-Comment (FC) and Check-All-That-Apply (CATA) provide a contingency table containing citation counts of descriptors by products. The analyses performed on this table are most often related to the chi-square statistic. However, such practices are not well suited because they consider experimental units as being the citations (one descriptor for one product by one subject) while the evaluations (vector of citations for one product by one subject) should be considered instead. This results in incorrect expected frequencies under the null hypothesis of independence between products and descriptors and thus in an incorrect chi-square statistic. Thus, analyses related …

[SPI] Engineering Sciences [physics]030309 nutrition & dieteticsComputer sciencedimensionality testmultiple-response correspondence analysiscomputer.software_genremultiple-response dimensionality test of dependenceCorrespondence analysis[SHS]Humanities and Social Sciencescorrespondence analysis[SPI]Engineering Sciences [physics]multiple-response hypergeometric test03 medical and health sciences0404 agricultural biotechnologyChi-square testComputingMilieux_MISCELLANEOUSStatisticIndependence (probability theory)Contingency table0303 health sciencesNutrition and Dieteticscontingency tableMultiple-Response Correspondence Analysis (MR-CA)chi-square statistic04 agricultural and veterinary sciences040401 food scienceHypergeometric distribution[STAT]Statistics [stat][SDV.AEN] Life Sciences [q-bio]/Food and NutritionProduct (mathematics)[SHS] Humanities and Social SciencesData miningNull hypothesis[SDV.AEN]Life Sciences [q-bio]/Food and Nutritioncomputeranalysis of multiple-response dataFood ScienceFood Quality and Preference
researchProduct