PLS with small samples

samuraiz · Post by **samuraiz** » Thu Jul 22, 2010 8:11 pm

Hi, I am working at the moment with some old data (2008) that came from a questionnaire realized to a group of companies (n=15). I have built a path-mode based on the questionnaire variables, but I believe that due to the small size of the sample I should avoid using PLS because it will probably create unstable results.

I would like to know if anyone has any suggestion, besides collecting more data which is not possible =(, regarding the way I should analyize my data.

Thanks for your help.

Hengkov · Post by **Hengkov** » Mon Dec 31, 2012 2:19 pm

Hi,

Rule of thumb sample size in PLS 10x path/predictor in model. If you have simple model (just one independent and one dependent) N = 15 it's OK.

Regards,
Hengky

ahmeduum · Post by **ahmeduum** » Sat Jun 15, 2013 5:22 pm

Hengkov wrote:Hi,

Rule of thumb sample size in PLS 10x path/predictor in model. If you have simple model (just one independent and one dependent) N = 15 it's OK.

Regards,
Hengky

I also heard about this rule of thumb. But how to cite it in the papers? As I am new users of SmartPLS, is it possible to assist me? Thanks in advance.

Robinson · Post by **Robinson** » Thu Feb 13, 2014 4:12 am

Hi

Refer this article

Hair, J. F., et al. (2011). "PLS-SEM: Indeed a silver bullet." The Journal of Marketing Theory and Practice 19(2): 139-152.

_Robinson_

bradley7680 · Post by **bradley7680** » Tue Nov 11, 2014 11:58 pm

Hello,

rules of thumb are really quite useless. It depends with you have enough power to detect small and large effects respectively.

If you have small effects sample size will need to be larger to detect the smaller effects.

Wynne chin writes about this subject in a chapter with Newsted. Samples sizes in business research.

Brad

Hengkov · Post by **Hengkov** » Mon Nov 17, 2014 11:18 pm

Many factors play role important to determine sample size in context PLS:
1. Variability of data
2. Confidence interval
3. Design research
4. and much more
Rule of thumb is standard practice to assess the adequacy of the sample size. If you collect data using probability sampling, may be you need to compute sample size using formula.

Best regards

cringle · Post by **cringle** » Mon Nov 17, 2014 11:28 pm

Yes, rules of thumb are quite useful. @Brad: The literature of the nienties is good but a lot of things happend since then ;)

Best
Christian

bradley7680 · Post by **bradley7680** » Mon Feb 09, 2015 1:57 am

rules of thumb should be used after people have tried to estimate sample size for sufficient power to unearth (or not) the effect size they might be expecting.

most of us as reviewers hate to see small sample size as the only reason PLS was chosen.

Brad

Hengkov · Post by **Hengkov** » Tue Feb 10, 2015 8:56 pm

Yes, the number of samples in the PLS should consider the effect size and power analysis as well. Maybe we need to make a special software to count the number of samples in the PLS method or add a feature on SmartPLS to compute it. #just my idea.

Greetings,

Habibabdula2 · Post by **Habibabdula2** » Thu Mar 12, 2015 4:31 pm

If you have simple model (just one independent and one dependent) N = 15 it's OK. ......

Hengkov · Post by **Hengkov** » Fri Mar 20, 2015 4:36 pm

Hi,

No, If you consider the effect size and power analysis, sample you need to be around 43 (calculated with G * Power). PLS is not used to excuse the small sample, this is just a misconception. PLS also took samples were rational, but is not as CB-SEM. In addition, if the number of indicators > 15 will not be able to run the model

Greetings,

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