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[Feature Request]: Complete and Step by Step User's Manual for Bayesian Statistical Analysis is requested #2913

Open drravikch opened 2 months ago

drravikch commented 2 months ago

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 commented 2 months ago

@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 commented 2 months ago

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.

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tomtomme commented 2 months ago

@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 commented 2 months ago

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)

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Assigned #2913https://github.com/jasp-stats/jasp-issues/issues/2913 to @DrMarkGShttps://github.com/DrMarkGS.

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github-actions[bot] commented 3 weeks ago

This issue will be automatically closed in 42 days due to inactivity. Feel free to leave a comment if you believe this is still relevant.

drravikch commented 3 weeks ago

I thank sincerely the JASP team for providing an amazing software which a non-statistician researcher can also venture to do data analysis using Bayesian inferences.

To avoid misuse or inappropriate use of statistics by a novice, it needs an improvised, comprehensive and clear user’s manual, in addition to the present good manuals already available.

A user's manual for JASP especially for Bayesian statistical analysis of different data types is useful for beginners to undertake Bayesian analysis using JASP.

Novice to Bayesian statistical analysis needs context related details of help in relation to each statistical test, explaining each component of input required and essential understanding and interpretation of each component of output.

To mention as example user's manuals of other statistical software are EpiInfo, MedCalc, SPSS etc.

Thank you very much JASP team for your laudable services.

tomtomme commented 3 weeks ago

@drravikch Thx for the details. To make it perfectly clear: You are saying that the manual of Dr Mark GS is not detailed enough for you - correct? I tend to agree, since I am myself a beginner considering bayesian stats. Some more theory etc. would be good.

EJWagenmakers commented 3 weeks ago

I will be working on "Bayesian inference from the ground up: Common sense in practice" (the follow-up from "Bayesian inference from the ground up: The theory of common sense", a draft version of which is available at https://www.bayesianspectacles.org/free-course-book/. I will make individual chapters available as soon as they are finished. But it may take a while.

drravikch commented 2 weeks ago

Sounds great! Thank you very much.

On Fri, 1 Nov 2024 at 9:24 AM, EJ @.***> wrote:

I will be working on "Bayesian inference from the ground up: Common sense in practice" (the follow-up from "Bayesian inference from the ground up: The theory of common sense", a draft version of which is available at https://www.bayesianspectacles.org/free-course-book/. I will make individual chapters available as soon as they are finished. But it may take a while.

— Reply to this email directly, view it on GitHub https://github.com/jasp-stats/jasp-issues/issues/2913#issuecomment-2451868201, or unsubscribe https://github.com/notifications/unsubscribe-auth/BJ6XUMEB664S3YWLERGSMDDZ6N6KLAVCNFSM6AAAAABOKCJWZ2VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDINJRHA3DQMRQGE . You are receiving this because you were mentioned.Message ID: @.***>