IBM SPSS Amos
Build Attitudinal and Behavioural Models reflecting complex relationships
IBM SPSS Amos enables you to specify, estimate, assess and present models to show hypothesized relationships among variables. The software lets you build models more accurately than with standard multivariate statistics techniques. Users can choose either the graphical user interface or the non-graphical, programmatic interface.
Why SPSS AMOS?
Structural Equation Modelling
Using SEM, you can quickly create models to test hypotheses and confirm relationships among observed and latent variables – moving beyond regression to gain additional insight. For more than 40 years, organizations of all types have relied on us to increase revenue, outmanoeuvre competitors, conduct research, and make better decisions.
Improve estimates by specifying an informative prior distribution. Take advantage of the underlying Markov chain Monte Carlo (MCMC) computational method, which is fast and can be adjusted automatically. Perform estimation with ordered categorical and censored data. Specify user-defined estimands using a simplified technique. Create models based on non-numerical data without having to assign numerical scores to the data. Work with censored data without having to make assumptions other than normality.
Data Imputation Methods
Use regression imputation to create a single, completed data set. Use stochastic regression imputation or Bayesian imputation to create multiple imputed data sets. You can also impute missing values or latent variable scores.
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