SPSS Amos is powerful structural equation modeling (SEM) software that enables you to support your research and theories by extending standard multivariate analysis methods, including regression, factor analysis, correlation, and analysis of variance.

SPSS Amos software, you can:

  • More easily perform structural equation modeling (SEM).

  • More quickly create models to test hypotheses and confirm relationships among observed and latent variables.

  • Move beyond regression to gain additional insight.

You can quickly build attitudinal and behavioral models in SPSS Amos that realistically reflect complex relationships. Any numeric variable, whether observed or latent, can be used to predict any other numeric variable. SPSS Amos includes expanded statistical options based on Bayesian estimation. You can:

  • Perform estimation with ordered-categorical and censored data. This enables you to create models based on nonnumerical data

  • without having to assign numerical scores to the data, and work with censored data without having to make assumptions other than the assumption of normality.

  • Impute numerical values for ordered-categorical and censored data. The resulting dataset can be used as input to programs that require complete numerical data.

  • Estimate posterior predictive distributions to determine probable values for missing or partially missing data values in a latent variable.


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