IBM SPSS Amos V25 Student Grad Pack Click on images to enlarge

Sale Price: $47.90

    Available for

  • Windows

IBM SPSS Amos V25 Student Grad Pack - For Students Only

(12 Month Fixed Term Download, Academic Authorized User, Multilingual)

Part#: D0EU3LL-25

IBM SPSS Amos V25 Student Grad Pack offers students the power to easily perform structural equation modeling (SEM). This latest software from IBM allows students to build models with more accuracy than standard multivariate statistics techniques. With IBM SPSS Amos v25, you can build attitudinal and behavioral models that reflect complex relationships. This software uses Bayesian analysis to improve estimates of model parameters and offers various data imputation methods, so you can create different data sets. Choose either the graphical or the non-graphical, programmatic user interface. Amos v25 is ideal for performing structural equation modeling quickly and efficiently.

Features of IBM SPSS Amos V25 Student Grad Pack

IBM SPSS Amos V25 Student Grad Pack is a powerful structural equation modeling (SEM) software solution. This Student Grad Pack allows students to support their research and theories by extending standard multivariate analysis methods, including regression, factor analysis, correlation, and analysis of variance.

Amos V25 hosts a range of features to help you build attitudinal and behavioral models that reflect complex relationships.

SEM Resources

  • Quickly build graphical models using drag-and-drop drawing and editing tools.
  • Create models that realistically reflect complex relationships.
  • Use any numeric value, whether observed or latent, to predict any other numeric value.
  • Use non-graphical scripting capabilities to run large, complicated models quickly and to generate similar models that differ slightly.
  • Take advantage of multivariate analysis to extend standard methods such as regression, factor analysis, correlation and analysis of variance.

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.

Please see the "Resources" tab for additional installation and download information.

Please see Detailed System Requirements for IBM SPSS Amos V25 Student Grad Pack, click here.

The system requirements for SPSS Amos include operating system and hardware requirements.
Currently, SPSS Amos is only available on the Windows platform.

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