INSAF - Techniques applied on the construct scores obtained from SmartPLS / AMOS

[Neeraj Kaushik]

Dear Friends

There is always a curiosity about what sort of techniques we can apply on the construct scores obtained from SmartPLS/AMOS

I've coined the term INSAF - techniques that are applied on the construct scores 

I-  Importance Performance Map Analysis (Can be performed in Excel or SmartPLS)

N- Necessary Condition Analysis (Can be performed in R-Studio or SmartPLS)

S- Sensitivity Analysis in SEM (Can be performed in R-Studio)

A- Artificial Neural Network (Can be performed in SPSS) 

F- fsQCA (Can be performed in fsQCA software) 

The first two collectively are now called as cIPMA (Combined Importance Performance Map Analysis)

Happy Learning

Neeraj

[Yasra Aslam]

Respected Sir,

Thank you, sir

I saw the ANN video in which you mentioned its application with multiple IVs. In my model, I have one IV with 10 items and two DV. Is it implacable or not?

Again, Thank you, Sir

Reg:

Yasra 

[Neeraj Kaushik]

All these INSAF techniques work on construct score i.e. these shd be considered as part of the structural model

So basically you have 1 IDV and 2 DVs, so ANN, IPMA, NCA and fsQCA are not of any use here.

You can just check the sensitivity analysis of your results

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[Yasra Aslam]

Respected Sir,

I hope you are doing well.

As I mentioned earlier, my study in detail, my study has one independent variable, which consists of three dimensions (technical resources, human resources, and inter-departmental resources), with each dimension having at least four items. Additionally, my study includes two dependent variables.

Recently, my professor assigned me a new task, instructing me to apply fsQCA (Fuzzy-Set Qualitative Comparative Analysis) and configurational analysis. I seek your guidance on the following:

1. What is configurational analysis?
2. How can it be measured, and what does this measurement represent?
3. What is the nature of the data required for fsQCA and configurational analysis?
4. Which software can be used to perform these analyses?
5. Can I apply fsQCA to my existing dataset, or do I need to modify it in any way?

Your guidance will be invaluable in helping me understand and correctly implement these methodologies in my research.

Looking forward to your response.

Thank you

Reg:

Yasra Aslam 

[Neeraj Kaushik]

Dear Yasra,

Here are my inputs:

1. What is configurational analysis?

Configurational analysis is an analytical approach that examines how different conditions or factors combine to produce a specific outcome. It focuses on identifying the configurations of conditions that are necessary or sufficient for an outcome to occur.

2. How can it be measured, and what does this measurement represent?

In fsQCA, configurational analysis is measured through set-theoretic methods. These methods assess the degree to which cases are members of different sets (conditions and outcome). The analysis results in measures of necessity and sufficiency, indicating how essential and adequate certain configurations are for the outcome.

3. What is the nature of the data required for fsQCA and configurational analysis?

fsQCA typically requires crisp or fuzzy-set data. Crisp data are binary (0 or 1), indicating the absence or presence of a condition, while fuzzy-set data allow for degrees of membership (ranging from 0 to 1) to reflect the extent to which a case belongs to a particular set.

We can work with SEM+fsQCA

May refer sem+fsqca - Google Scholar

4. Which software can be used to perform these analyses?

fs/QCA Software (uci.edu)

5. Can I apply fsQCA to my existing dataset, or do I need to modify it in any way?

Yes

Best wishes

Neeraj

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