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IBM SPSS 25 ,one of the most popular statistical package capable of highly complex data manipulation and analysis with simple instructions, is used by market researchers,survey companies, governments, education researchersfor their statistical analysis. Data from almost any type of file can be fed into SPSS to generate tabulated reports, charts and plots of distributions and trends, descriptive statistics and conduct complex statistical analyses.SPSS has a rich graphics feature capable of not only creating histograms,scatter plots, regression lines,heat maps etc but also allows the user to change aspects of axes, add text,change color and font,copy and export etc. spss is compatible with several platforms viz. Windows, Macintosh and the Unix system.Spss comes with SPSS Statistics Base where the user can perform introductory level statistical analysis. But in case of more extensive analysis, he/she may need the Advanced Module or the Regression Module. The different modules are as follows:

The Graphical User Interface opens up with two views:

After opening a data file, various types of statistical analysis can be done listed in the Analyze Option.


IBM SPSS Amos is powerful structural equation modeling 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. With SPSS Amos you can build attitudinal and behavioral models that reflect complex relationships more accurately than with standard multivariate statistics techniques using either an intuitive graphical, or programmatic user interface.

Build structural equation models with more accuracy than standard multivariate statistics models using intuitive drag and drop functionality

IBM SPSS Amos gives you the power to easily perform structural equation modeling (SEM). 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.

Structural equation modeling (SEM) can take your research to the next level

When you conduct research, you’re probably already using factor and regression analyses in your work. Structural equation modeling (sometimes called path analysis) can help you gain additional insight into causal models and explore the interaction effects and pathways between variables. SEM lets you more rigorously test whether your data supports your hypothesis. You create more precise models – setting your research apart and increasing your chances of getting published.

IBM SPSS Amos is the perfect modeling tool for a variety of purposes, including:

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