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.health 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:
- IBM SPSS Statistics Base 25.0
- IBM SPSS Advanced Statistics
- IBM SPSS Custom Tables
- IBM SPSS Missing Values
- IBM SPSS Regression
- IBM SPSS Client Categories
- IBM SPSS Complex Samples
- IBM SPSS Decision Trees
- IBM SPSS Forecasting
- IBM SPSS Neural Networks
- IBM SPSS Conjoint
- IBM SPSS Data Preparation
- IBM SPSS Exact Tests
- IBM SPSS Direct Marketing
- IBM SPSS Bootstrapping
The Graphical User Interface opens up with two views:
- In Data View, Columns represent variables and rows represent cases (observations)
- In Variable View,each row is a variable and each column is an attribute associated with it.
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:
- Psychology – Develop models to understand how drug, clinical, and art therapies affect mood
- Medical and healthcare research – Confirm which of three variables –confidence, savings, or research – best predicts a doctor’s support for prescribing generic drugs
- Social sciences – Study how socioeconomic status, organizational membership, and other determinants influence differences in voting behavior and political engagement
- Educational research – Evaluate training program outcomes to determine impact on classroom effectiveness
- Market research – Model how customer behavior impacts new product sales or analyze customer satisfaction and brand loyalty
- Institutional research – Study how work-related issues affect job satisfaction
- Business planning – Create econometric and financial models and analyze factors affecting workplace job attainment
- Program evaluation – Evaluate program outcomes or behavioral models using SEM to replace traditional stepwise regression