A non-graphical, programmatic approach, introduced with SPSS Amos 20, improves accessibility for those who can benefit by specifying models directly.

New capabilities include bootstrapping of user-defined functions of the model parameter for increased model stability.

Its approach to multivariate analysis encompasses and extends standard methods – including regression, factor analysis, correlation and analysis of variance.

Then make any modifications and print a presentation-quality graphic of your final model. And once the model is finished, simply click your mouse and assess your model’s fit. Models that used to take days to create are just minutes away from completion.

Quickly build graphical models using IBM SPSS Amos’ simple drag-and-drop drawing tools.

IBM SPSS Amos builds models that more realistically reflect complex relationships because any numeric variable, whether observed (such as non-experimental data from a survey) or latent (such as satisfaction and loyalty) can be used to predict any other numeric variable.

IBM SPSS Amos makes structural equation modelling (SEM) easy and accessible

You create more precise models – setting your research apart and increasing your chances of getting published. SEM lets you more rigorously test whether your data supports your hypothesis. SEM (sometimes called path analysis) helps you gain additional insight into causal models and explore the interaction effects and pathways between variables. Structural equation modelling (SEM) can take your research to the next level. When you conduct research, you’re probably already using factor and regression analyses in your work.

Quickly build graphical models using IBM SPSS Amos’ simple drag-and-drop drawing tools.

Amos Software Full Version