Usage of Bootstrap in small sample size

[Nitika Sharma]

Dear Neeraj Sir & Group Members,

I read Sunita ma`am's email regarding bootstrap and its usage when we don't know regarding the distribution of our sample.

I would like to know if we can use bootstrap in small sample for better result testing in SEM. Is bootstrap a solution to small sample size in SEM?

Thanks & Regards,

Nitika Sharma

[Nitika Sharma]

Dear Members,

I would like to know if we can use bootstrap in small sample for better result testing in SEM. Is bootstrap a solution to small sample size in SEM?

Thanks & Regards,

Nitika Sharma

[Neeraj Kaushik]

Dear Nitika

Since you've given reference of Sunita Mam so I assumed your query is for Time Series data.

SPSS, AMOS or SMartPLS can't handle Time Series data.

If you're working on Cross-sectional data then you shd refer to KNO Value in the case of CFA and SEM (in AMOS). Though a sample of 100 with 30 statements seems a small sample for SEM in AMOS. SmartPLS is quite ok with this dataset. Bootstrapping help in small samples.

Best wishes

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[Atul Shiva]

Sir 

To add more on bootstrapping one must see how many subsamples one must take for initial solutions. 

As per Dr Ringle one must test the structural  model on 500 bootstrapping samples. Once the model validates and reliablilities are established then one should go for minimum of 2000 subsample to 5000 bootstrapping subsample selections to get the desired results. 

Moreover bootstrapping is a tool to measure only hypothesis testing by t test in PLS SEM. 

For a 100 respondents 2000 bootstrapping subsamples will be fine

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[Nitika Sharma]

Dear Sir,

Thank you for your reply. I still have a little confusion. Kindly guide.

My study is on consumer behavior and sample size is 100 respondents for 30 questions, which is less as per the thumb rule. Now, can I use bootstrapping for better results? Will there be a change in model fitness?

Thanks & Regards,

Nitika Sharma

[Atul Shiva]

Dear Nikita 

The rule for sample size selection is to see your largest construct and then see how many indicators are attached to it.

Multiply those indicators with 10 .

This will be your minimum sample size.

Higher than this value will improve the model further.

Take care

Do respond if you have further doubts

[Nitika Sharma]

Dear Sir,

Thanks for the clarifications.

Best Regards,

Nitika Sharma