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Description
Description
implement homogeniety analysis with JAsp
Purpose
analyse multi-variable nominal -level variables
Use-case
it can be used in psychotmetric test development to produce a new format psychological test
Is your feature request related to a problem?
the aim is to find a principal compenent analysis for any kind of data, specially multiple choice questions
Is your feature request related to a JASP module?
Factor
Describe the solution you would like
with the new module for correspondence analysis, I will expect to find/compute (1) cronbach alpha coefficient, (2) discrimination values for each variable (equivalent to the sqare of factor loading as in factor analysis); (3) quantifications of weighs for each option of each question (4) possible, a frequency distribution of scores aand some otehr optional features, like setting the algebraic sign for high scores, and projecting values into illustrative varables
Describe alternatives that you have considered
is ai canno use homogeneity analysy to analyse 30 question of 5 options each, I should use a (30x5=) 150 dichotomous variables to be analysed with FACTOR
Additional context
I join a paper by J de Leeuw about homogeneity analysis