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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Market Planning and Bundling Department VTR GlobalCom

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Bill Dibble Infinity Property & Casualty

“IBM SPSS predictive analytics software has given us the means to learn systematically from our experience. By learning from the history, we can know today who will buy a given product in the future.”

Ola Gistafsson Länsförsäkringar

“Analytics gives us a method of assessing impact of factors that we may not be able to measure directly – so that we can do more with the data we already have, instead of making big investments in high-tech equipment.”

Matthiew Lirette-Gelinas IBM Bromont

“Course was excellently presented with a clear overview of research and statistics principles and the IBM SPSS Statistics software package. I found it challenging but very informative and a useful introduction to IBM SPSS Statistics.”

Paul Sheehan Cork Simon Community

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