[Feature Request]: Complete and Step by Step User's Manual for Bayesian Statistical Analysis is requested

[drravikch]

Description

The Bayesian Statistical analysis with JASP needs the right understanding of the step-by-step process of input and clear understanding of the meaning of every element of output.

Purpose

To do appropriate Bayesian statistical analysis and reporting the results especially by a researcher without statistics background.

Use-case

No response

Is your feature request related to a problem?

For using the JASP for effective Bayesian statistical analysis.

Is your feature request related to a JASP module?

Unrelated

Describe the solution you would like

An user's manual for JASP on the lines of user's manuals for other statistical software like EpiInfo, MedCalc etc.

Describe alternatives that you have considered

Contextual help file while performing JASP statistical analysis and reporting the results.

Additional context

No response

[tomtomme]

@drravikch
have you seen:
"Goss-Sampson, M. A. (2020). Bayesian Inference in JASP: A Guide for Students. May 2020. (Free PDF). (Data sets)."

https://jasp-stats.org/jasp-materials/#manuals

I know it could be more up to date.

[drravikch]

Thank you for your prompt help. I started going through the book suggested by you: "Bayesian inference in JASP: A Guide for Students" authored by Mark A Goss-Sampson. It is a useful book for a novice like me. The book is written for JASP v0.12.2, May 2020. The JASP software I am using is the recent version: 0.19.1. So, I find some difference in the input and output guidance steps given in the book and the actual JASP software's input commands and output. The software's help files are not completely available in the software. Is there an updated and recent book by Mr Goss-Sampson? Can you suggest other additional and useful sources or books for learning Bayesian statistical analysis: doing the analysis of data, and interpreting the results, *for a beginner with no foundation in statistics*? With best regards and good wishes, Dr Chodavarapu Ravikumar, Consultant Paediatrician.

…

On Wed, Sep 18, 2024 at 5:19 AM Thomas Langkamp ***@***.***> wrote: @drravikch <https://github.com/drravikch> have you seen: "Goss-Sampson, M. A. (2020). Bayesian Inference in JASP: A Guide for Students. May 2020. (Free PDF <http://static.jasp-stats.org/Manuals/Bayesian_Guide_v0_12_2_1.pdf>). (Data sets <https://osf.io/8qtu2/>)." https://jasp-stats.org/jasp-materials/#manuals I know it could be more up to date. — Reply to this email directly, view it on GitHub <#2913 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/BJ6XUMGR5A7RUECAXI65V5LZXFARLAVCNFSM6AAAAABOKCJWZ2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDGNJXHEZTQMJSGA> . You are receiving this because you were mentioned.Message ID: ***@***.***>

[tomtomme]

@drravikch
the link I gave you above lists several resources. Most of them on classic stats. But this one seems also to cover the bayesian side in detail:
https://www.rensvandeschoot.com/tutorials/jasp-how-to-get-started/
There are also sevaral papers linked but I guess those might be for experts mostly.
Those seem also to be listed here:
https://osf.io/h4xzy

@DrMarkGS
Will there be an updated jasp bayesian user guide ?

@EJWagenmakers
Do you have further beginner-books / resources on jasps bayesian analysis?

[DrMarkGS]

Yes- hopefully by Xmas Mark From: Thomas Langkamp ***@***.***> Sent: 19 September 2024 07:31 To: jasp-stats/jasp-issues ***@***.***> Cc: Mark Goss-Sampson ***@***.***>; Assign ***@***.***> Subject: [EXTERNAL] Re: [jasp-stats/jasp-issues] [Feature Request]: Complete and Step by Step User's Manual for Bayesian Statistical Analysis is requested (Issue #2913) This message originated from outside the University. Treat links and attachments with caution.

…

________________________________ Assigned #2913<#2913> to @DrMarkGS<https://github.com/DrMarkGS>. — Reply to this email directly, view it on GitHub<#2913 (comment)>, or unsubscribe<https://github.com/notifications/unsubscribe-auth/AJJSHAB26COWU3EAFIQBOBTZXJVR3AVCNFSM6AAAAABOKCJWZ2VHI2DSMVQWIX3LMV45UABCJFZXG5LFIV3GK3TUJZXXI2LGNFRWC5DJN5XDWMJUGMYTQNBXGU3TSMI>. You are receiving this because you were assigned.Message ID: ***@***.***> University of Greenwich, a charity and company limited by guarantee, registered in England (reg no. 986729). Registered Office: Old Royal Naval College, Park Row, Greenwich SE10 9LS.

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