regroup SA and A into A and regroup SD and D into D. See what proportion of people A or D with your statements. Later, run chi square or logistic regression tests to see what predicts participants' agreement or disagreement. Predictors can be demographic characteristics. Let me know if this helps.

Thanks Mr. Jagdish 

In chi sq test, how many cells (percentage) can have expected count less than 5

for one test result is (predictor taken in Income level) 

"2 cells (13.3%) have expected count less than 5. The minimum expected count is 4.27" 

Dear Sourabh,

I suggest you carry out a scale reliability analysis on each of your sections with at least 3 questions to see whether any of them could be reduced into a single scale variable. I recommend using a Principal Component Analysis to do this - see my guide:

https://www.researchgate.net/publication/280936182_Advice_on_Reliability_Analysis_with_Small_Samples

Once you have done this you can either use a t-test or, if its assumptions are not met, a Mann-Whitney U test.

Technical Report Advice on Reliability Analysis with Small Samples

Since you are dealing with ordinal data (main outcome variable), Wilcoxon two sample test or Mann-Whitney U-test might be most appropriate.

Dear Saurabh, it depends on your data. If you have a large data, chi square will do the work. If the data is not normal and you want to find the association between variables, i would suggest spearmanns correlation coeff as the best option.

Thank for suggestions.

Sample size is 485.

Hello Munjal,

To analyze the causal relations in your model, you will can use the Structure Equation Modeling. The Partial least square model is very adequability for your datas, because i think that it do no have normal distribuition (see Ringle, C., Silva, D., & Bido, D. S. (2014). Modelagem de Equações Estruturais com utilização do Smartpls. Revista Brasileira de Marketing, 13(2), 54-71 - in:http://www.revistabrasileiramarketing.org/ojs-2.2.4/index.php/remark/article/view/2717 - and choose the "PDF in English : " in the bottom of page). For analyze if it has two data groups in you bank, i recomed to use the FIMIX model (see Becker, J.-M., Rai, A., Ringle, C. M., and Völckner, F. 2013. Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats. MIS Quarterly, 37(3): 665-694.).

Best regards

Dirceu

Hello Munjal

I looked at your questionnaire. First of all, I prefer to use reliability test for your questionnaire (Alpha Cronbach). then you can use SEM with AMOS for confirmatory factor analysis. you can also use the chi square, Wilcoxon two sample test or Mann-Whitney U-test (by using SPSS).

Best Regards

Omid Mahdieh

Hello Mahdieh

The Alpha de Cronbach will have problems when we have few variables in a construct (or subscale) . It will can show small values, but is not true. It is better to use Composite Reliability test.

Best regards.

Dirceu

Hi sir gud evening. I am ph.d scholar. My data collection will be complited. My questionnaire is teacher class room observation. A)good B)maderate c)poor. Which stast test i am taken plz replay sir.