[Feature Request]: Correspondence analysis with an iteratation algorithm for the optimal score

[Gianbattistagianbattista]

Description

the new feature will compute correspondence analysis or homogeniety analysis with an iterated algorithm to exctract 1, 2, 3 or more orthogonal dimensions from a n-variable crosstabulation

Purpose

the correspondenc analysis is used to summarize the similarities of variables from nominal-variables. HOmogeniety analysis exctracth only the firts k dimensions, more quickly and with less hurdle in computation

Use-case

The main reason is to obtain the first (or sometimes the second dimension) from a set of multiplechoice questions to compute the optimal score

Is your feature request related to a problem?

No response

Is your feature request related to a JASP module?

Factor

Describe the solution you would like

I will analyses 20-30 items in the form of a LIkert scale and obtain (1) Crnbach alpha coefficient for the scale (2) weighs for each option for each item, (3) discrimination index fo each item (equivalent to the square of factor loading) (4) a chart for frequency distribution the scores

Describe alternatives that you have considered

an alternative would be to trasnform the 30 items of 5 options into (30*5=150 variable to obtain a factor score for each respondent.

Additional context

hoomogeneity analysis.pdf

deleeuw-b-21-b.pdf

[tomtomme]

@Gianbattistagianbattista
thx for the request. This will probably need some time to implement since we have roughly 400 valid feature requests open at the moment - which is a great thing, knowing that users care about seeing more features in jasp.
So if you know anyone who could help with coding this, let us know! The coding team for analyses improvements mostly consists of volunteers spending their free time on this, so any help would we greatly appreciated :D