[Feature Request]: Use correlation matrix as input

[glcanivez]

Description

Factor Analysis from Correlation Matrix

Purpose

To run factor analysis using a correlation matrix rather than raw data

Use-case

No response

Is your feature request related to a problem?

No, the current EFA/CFA seems to operate similarly to other statistics programs

Describe the solution you would like

It would be very useful to be able to input a correlation matrix and run factor analysis (EFA and CFA) from that matrix when one does not have raw data as input.

Describe alternatives that you have considered

In SPSS I use Syntax to input correlation matrices and in EQS I can input a correlation matrix, means, and standard deviations to reconstruct a covariance matrix for CFA

Additional context

This feature would also be helpful for second-order/higher-order EFA using first-order factor pattern coefficients and the factor correlations. I have also used SPSS syntax for this and third-party freeware (Watkins) to conduct these.

[juliuspfadt]

Hi @glcanivez, thanks for the request. @AlexanderLyNL is there anything on the horizon regarding covariance/correlation matrices as input instead of the data matrix?

[mww10]

Several have requested correlation matrix input for EFA and correlation/standard deviation input for CFA. #2174 is marked as closed. This option is not available in JASP 0.19.1 for my Apple silicon machine. Why was this request closed if it was not implemented?

[juliuspfadt]

Looking into #2174, I see that it was marked as a duplicate which is why it was closed. The issue is still relevant.

[mww10]

Thanks. Correlation matrix and correlation matrix/standard deviations for EFA and CFA, respectively, would greatly increase utility of JASP for me and other colleagues who frequently conduct EFA and CFA in measurement studies. Marley

…

On Thu, Oct 10, 2024 at 1:45 PM Julius Pfadt ***@***.***> wrote: Looking into #2174 <#2174>, I see that it was marked as a duplicate which is why it was closed. The issue is still relevant. — Reply to this email directly, view it on GitHub <#1802 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BAHKF6ASSBQ4LIUGUNDA7LTZ23RPBAVCNFSM6AAAAABPXKSKH6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDIMBWGAYDOMBVHA> . You are receiving this because you commented.Message ID: ***@***.***>

[juliuspfadt]

you are right. I should get on this :)

[mww10]

Thank you. I appreciate your support. After this is done I will contact my publisher to recommend a new book on factor analysis using JASP. Marley

…

On Thu, Oct 10, 2024 at 11:08 PM Julius Pfadt ***@***.***> wrote: you are right. I should get on this :) — Reply to this email directly, view it on GitHub <#1802 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BAHKF6H2WGPGPERKML5PR6DZ25TPXAVCNFSM6AAAAABPXKSKH6VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDIMBWGYYTOOBUGY> . You are receiving this because you commented.Message ID: ***@***.***>

[glcanivez]

Thank you for your work on this. I look forward to the JASP update where this will be available. Cheers, Gary Gary L. Canivez, Ph.D. Professor of Psychology Senior Editor, School Psychology Review Former Associate Editor for Psychological Assessment and Archives of Scientific Psychology Department of Psychology 600 Lincoln Avenue Eastern Illinois University Charleston, IL 61920 217-581-6413 (ph) 217-581-6764 (fax) email: ***@***.*** web site: www.ux1.eiu.edu/~glcanivez LinkedIn: www.linkedin.com/in/glcanivez Research Gate: https://www.researchgate.net/profile/Gary_Canivez Google Scholar: https://scholar.google.com/citations?user=tWsy9SMAAAAJ&hl=en “It is easier to fool people than to convince them that they have been fooled.” Mark Twain On Oct 16, 2024, at 7:44 AM, Julius Pfadt ***@***.***> wrote: Closed #1802<#1802> as completed via jasp-stats/jaspFactor#239<jasp-stats/jaspFactor#239>. — Reply to this email directly, view it on GitHub<#1802 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AVKFSVOITXPMFYH46QR6DHDZ3ZNS7AVCNFSM6AAAAABPXKSKH6VHI2DSMVQWIX3LMV45UABCJFZXG5LFIV3GK3TUJZXXI2LGNFRWC5DJN5XDWMJUGY3TOOBYGE3DKMQ>. You are receiving this because you were mentioned.Message ID: ***@***.***>