AMOS is an analysis software for structural equation models. AMOS has a series of basic analysis methods such as variance analysis, covariance, and hypothesis testing.
SPSS AMOS 21.0 is a software that uses structural equations to explore the relationship between variables.
The biggest feature of Amos in handling missing values is that it has Full Information Maximum Likelihood. Even if the data is incomplete, Amos will not miss any situation, and will automatically calculate the correct standard error and appropriate statistics, reducing your deviation of the estimate.
Simple but powerful
(1) AMOS has a series of basic analysis methods such as variance analysis, covariance, and hypothesis testing.
(2) The application of AMOS’s Bayesian and self-sampling methods. This is the most distinctive method of AMOS. This is also a relatively cutting-edge application. It overcomes the limitations of large sample conditions to a certain extent. When When the sample is below 200 or even below 100, the results of the Bayesian method are still relatively stable, especially the results of MCMC. This method can also provide the standard error of the indirect effect of path analysis, which is particularly useful in the use of mediation effects. The prior probability distribution and post hoc probability distribution of the estimated parameters can also be observed and artificially set. In addition, bootstrap also provides standard errors similar to simulations, and provides bootstrap's ADF, ML, GLS, SLS, ULS and other parameter estimation methods. In addition, autocorrelation plots are provided for time series data to detect serial correlation.
(3) AMOS provides statistical indicators for equation testing, which needless to say are very rich. It should be emphasized that some indicators such as SRMR need to be set up by yourself before they can be provided. In addition, more important indicators such as RMSEA need to be tested by yourself. You can only see it by setting \pclose in the figure caption. Please see the manual for details.
(4) Specification search. I don’t know if the translation is correct. This function is very useful for exploring the relationship between variables. There are too many relationships and there are no assumptions. Use this function to look at the data itself. What is the relationship. Generally, if the relationship is very complex and the amount of data is large, using the step-by-step method can save a lot of time.
(5) AMOS can implement a curve growth model. This model is mainly used to track data and study changes over time. AMOS has developed well in this area, including high-order curve growth and its derived models. . However, the same cannot be achieved on the curve growth model based on the multi-layer linear model.
(6) Other models such as hybrid modeling, non-recursive models, etc. are all implemented in AMOS. At the same time, the higher version of AMOS provides program transparency and scalability, and provides interfaces with VB, SAS and other software, which brings great convenience to program writing and expands the scope of application. After version 20, AMOS has improved the program It has also been strengthened, such as program writing, program generation, etc., and its application prospects are clearer.
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