IBM SPSS Amos

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.

Bayesian Analysis

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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Latest Resources from our Learning Hub

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The Value of Codebook in IBM SPSS Statistics

Codebook is a valuable resource that presents a comprehensive overview of dictionary information about variables and multiple response sets within a dataset. It contains crucial data details, such as variable names, variable labels, variable types, value labels, missing values, and summary statistics. The summary statistics for nominal and ordinal variables and multiple response sets include counts and percentages, while the summary statistics for scale variables comprise mean, standard deviation, and quartiles.

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Our Documentation & Support section provides 24/7 access to online fault logging and a dedicated IBM SPSS support team, as well as support documentation and FAQs.

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