Hi ,
Please let me know if AMOS 25 has issue of generating P value and RMSEA values. My data set does not show any identification issues .
Thanks in advance.
AMOS (Analysis of Moment Structures) is a popular software tool for structural equation modeling (SEM). While AMOS itself does not "generate" p-values or RMSEA values directly, it can compute these values as part of the analysis outputs. However, the accuracy and reliability of these values depend on various factors, including the model specification, sample size, and data quality.
Here are some considerations regarding p-values and RMSEA values in AMOS:
If you are experiencing specific issues with generating p-values or RMSEA values in AMOS 25, it may be helpful to review the model specification, data quality, and other factors mentioned above to troubleshoot the problem. Additionally, consulting resources such as user guides, forums, or contacting technical support for the software can provide further assistance in addressing any issues you encounter.
AMOS 25, like other versions of AMOS, can sometimes experience issues in generating p-values and RMSEA (Root Mean Square Error of Approximation) values, especially if there are model specification or data-related issues. However, since you've mentioned that your dataset does not show any identification issues, we can consider a few other possibilities, for example
Model Complexity: Sometimes, overly complex models or models that are too simple can lead to computation issues. Ensure that your model is neither overparameterized (too many parameters relative to the number of observations) nor underparameterized. Convergence Issues: Check if the model has fully converged. Non-convergence can lead to incomplete output, including missing 𝑝p-values and RMSEA. This might be due to issues like inadequate iterations or poor starting values.
In Barbara M. Byrne's book "Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming," the chapters that would be most helpful for understanding and addressing issues with generating 𝑝p-values and RMSEA are
- Chapter 7: Additional Issues in Model Testing and Modification. This chapter typically discusses more nuanced aspects of model evaluation, including assessing model fit, which directly relates to understanding RMSEA values.
- Chapter 5: Model Specification and Identification. Although primarily focused on model specification and identification, this chapter might provide useful background information on factors that can influence the accurate calculation and reporting of p-values and fit indices like RMSEA.
