Q4CATA.Cube: Compute Cochran's Q for a Cube of CATA Data.

In HerveAbdi/PTCA4CATA: Partial Triadic Analysis (PTCA) for Check All That Apply (CATA) Data

Compute Cochran's Q for a Cube of CATA Data.

Description

Compute Cochran's Q for a Cube of CATA Data (as created, e.g., by readCATAfromXL): I: Rows are Products, J: Columns are Variables, K: Third Dimension are Assessors. x_{i,j,k} = 1 means Assessor k chose Variable j for Product i. NB. uses function Q4CATA.Slice.

Usage

Q4CATA.Cube(ZeCube)

Arguments

ZeCube

A cube of 0/1 CATA data

Value

a 4 * J matrix. Row 1 gives the value of chi2 Row 2 gives the uncorrected p-value Row 3 gives the Sidak corrected (for multiple comparisons) p-value Row 4 gives the Bonferroni corrected (for multiple comparisons) p-value

Author(s)

Hervé Abdi

HerveAbdi/PTCA4CATA documentation built on July 17, 2022, 5:41 a.m.