Simple interface

IBM SPSS Amos was originally designed as a tool for teaching structural equation modeling in a way that emphasizes the simplicity that underlies this powerful approach to data analysis. Every effort was made to see that it is easy to use. Amos integrates an easy-to-use graphical interface with an advanced computing engine for SEM. The publication-quality path diagrams of Amos provide a clear representation of models for students and fellow researchers. The numeric methods implemented in Amos are among the most effective and reliable available.

Graphical model specification

IBM SPSS Amos accepts a path diagram as a model specification and displays parameter estimates on a path diagram. Path diagrams used for model specification and those that display parameter estimates are of presentation quality. They can be printed directly or imported into other applications such as word processors, desktop publishing programs, and general-purpose graphics programs.

Maximum likelihood estimation with missing data

When confronted with missing data, Amos performs estimation by full information maximum likelihood instead of relying on ad-hoc methods like listwise or pairwise deletion, or mean imputation.

Bootstrap

The program makes bootstrap standard errors and confidence intervals available for all parameter estimates, effect estimates, sample means, variances, covariances, and correlations. It also implements percentile intervals and bias-corrected percentile intervals (Stine, 1989), as well as Bollen and Stine’s (1992) bootstrap approach to model testing.

Compare multiple models in a single analysis

Multiple models can be fitted in a single analysis. Amos examines every pair of models in which one model can be obtained by placing restrictions on the parameters of the other. The program reports several statistics appropriate for comparing such models. It provides a test of univariate normality for each observed variable as well as a test of multivariate normality. It attempts to detect outliers.

Bayesian estimation

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Simultaneous analysis of data from several different populations

Amos can analyze data from several populations at once.

Estimation of means and intercepts

Amos makes it easy to estimate means for exogenous variables and intercepts in regression equations.

Specification search

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Imputation of missing values

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