Looking at your question, I believe you are facing issues related to model fit while using AMOS for SEM analysis. Here are some steps you can take to address these problems:

1. Check the model specification: SEM models are only as good as the assumptions and theoretical framework on which they are built. You should start by checking the model specification to ensure that it is valid and based on sound theoretical reasoning. This includes verifying the relationships between the variables in the model, specifying the measurement models, and ensuring that the model is properly identified.

2. Check the model fit indices: AMOS provides a number of model fit indices that can help you evaluate the adequacy of your model. These include chi-square, Comparative Fit Index (CFI), Tucker-Lewis Index (TLI), Root Mean Square Error of Approximation (RMSEA), and Standardized Root Mean Square Residual (SRMR). Look for values of CFI and TLI greater than 0.90, and values of RMSEA and SRMR less than 0.08.

3. Examine the modification indices: Modification indices suggest where the model may be improved by adding paths or freeing parameters. However, it is important to exercise caution when making modifications to the model, as this can result in overfitting and reduced generalizability. If you do decide to make modifications, do so in a systematic and theoretically informed way.

4. Check for model misspecification: If the model fit indices suggest that the model is misspecified, it may be necessary to revise the model specification. This can involve adding or removing variables, re-specifying the measurement models, or modifying the relationships between the variables.

5. Seek help from an expert: SEM can be a complex and challenging technique, especially for those who are new to it. If you are having difficulty interpreting your results or addressing model fit problems, it may be helpful to seek assistance from an experienced SEM researcher or statistician.

I hope these suggestions are helpful in addressing the issues you are facing in your SEM analysis.

"I am clicking the modifications indices option in calculate estimate, but while running model fit in plugins, it automatically clicked modifications indices and residual and showing error"

May I know the plugin(s) you used? It seems that the error was due to the plugin(s) you used.

Moreover, you wrote "it automatically clicked modifications indices and residual and showing error". So you did try to *uncheck* modifications indices due to missing data, but somehow the plugin(s) check this option, resulting in the error?

Hi,

Check this out :

https://stats4edu.com/services/structural-equation-modeling/