Fwd: Query regarding the Model’s Predictive Power in R Studio

[Tushar saha]

Dear Sir

 

The usual way for presenting PLS_predict results in a research article is as follows.

In the YouTube video tutorial, SEMinR Part-10 PLS Predict, we find RMSE (& MAE), LM-RMSE (& MAE), and PLS-LM, i.e., the difference between PLS-SEM analysis and LM benchmark.

 

The query is: Using R Studio, how can we separately determine the PLS Q2 _ _predict values (as highlighted in the table) for constructs and indicators level?

 

Note: after running the model using R Studio, we got different attributes under predict_pls_model

SEMinR Part-10 PLS Predict: https://www.youtube.com/watch?v=h3Tw58fDRc0&t=905s 

Thank you

 

Regards

Tushar

[Neeraj Kaushik]

Plz refer to 

https://groups.google.com/g/dataanalysistraining/c/kXYdipZ_Vxc

--
The members of this group are expected to follow the following Protocols:
1. Please search previous posts in the group before posting the question.
2. Don't write the query in someone's post. Always use the option of New topic for the new question. You can do this by writing to dataanaly...@googlegroups.com
3. It’s better to give a proper subject to your post/query. It'll help others while searching.
4. Never write Open-ended queries. This group intends to help research scholars, NOT TO WORK FOR THEM.
5. Never write words like URGENT in your posts. People will help when they are free.
6. Never upload any information about National Seminars/Conferences. Send such information
in personal emails and feel free to share any RESEARCH-related information.
7. No Happy New Year, Happy Diwali, Happy Holi, Happy Birthday, Happy Anniversary, etc. allowed in this group.
8. Asking or sharing Research Papers is NOT ALLOWED.
9. You can share your questionnaire only once.
---
You received this message because you are subscribed to the Google Groups "DataAnalysis" group.
To unsubscribe from this group and stop receiving emails from it, send an email to dataanalysistrai...@googlegroups.com.
To view this discussion on the web visit https://groups.google.com/d/msgid/dataanalysistraining/CAMn1K5Da%3DC%3DT4Yy1_MbXJViBFkNfQxYTZuk9OPdsy7774DcW0g%40mail.gmail.com.

[Tushar saha]

Dear Sir,

Q: Is it feasible to utilize the cSEM package for computing PLS Q² predict instead of the seminar package in that particular scenario?

Note: 

> I utilized the seminr package to run PLSpredict and obtained 'RMSE' scores with a negative sign for all item levels (only DVs), except for one item output below

>> Subsequently, when I processed the same dataset through the cSEM package, I obtained Q²_predict scores greater than zero for all item levels

>>> As of now, I have not come across any related references.

Thank you

 

Regards

Tushar

To view this discussion on the web visit https://groups.google.com/d/msgid/dataanalysistraining/CAAd%3Dc8Mydh-3NdL7TeXJzPM6VDjoAMqZSHxYEcCZ77FWyisZOw%40mail.gmail.com.