Empower your academic institution with just one license - simple and hassle-free access for every user.

IBM SPSS Statistics for academic institutions offers an all-in-one solution to enhance research, teaching, and learning across the board. Tailored to address the unique challenges of academic institutions, it offers a scalable solution that provides affordable access and meets the diverse needs of every user.

Reimagine what your institution can achieve:

• University-wide research - Enable collaborative, impactful research with shared analytics for students and faculty.
• Data-driven planning - Inform strategic decisions with insights from enrollment, performance, and retention data.
• Enhanced curriculum - Integrate data analysis into courses, building practical, career-ready skills.
• Insightful feedback analysis - Easily analyze campus surveys to improve student and faculty experiences.

Included in the Standard Edition are:

• Statistics Base
• Data Preparation: IBM® SPSS® Data Preparation performs advanced techniques to streamline the data preparation stage, delivering faster, more accurate data analysis results.
  • Choose from an automated data preparation procedure for fast results or select other methods to prepare more challenging datasets.
  • Identify suspicious or invalid cases, variables and data values.
  • View patterns of missing data, summarize variable distributions and more accurately work with algorithms designed for nominal attributes.
• Bootstrapping: The IBM® SPSS® Bootstrapping module makes bootstrapping, a technique for testing model stability, simpler for you to use.
  • Estimates the sampling distribution of an estimator by resampling with replacement from your original sample.
  • Estimates standard errors and confidence intervals for a population parameter such as the mean, median, proportion, odds ratio, correlation coefficient, regression coefficient and more.
  • Controls the number of bootstrap samples, sets a random number seed and indicates whether a simple or stratified method is appropriate.
• Advanced Statistics: IBM® SPSS® Advanced Statistics provides a comprehensive suite of univariate and multivariate analysis tools to uncover deeper insights from your data, including:
  • Advanced methods such as general linear models (GLM) and generalized linear models (GENLIN) enable you to analyze both continuous and categorical data with precision.
  • Generalized linear mixed models (GENLINMIXED) are useful for analyzing hierarchical or repeated-measures data, while Cox regression offers robust capabilities for survival analysis and time-to-event modeling.
  • These advanced techniques offer the flexibility and reliability needed to explore complex relationships and deliver reliable and accurate statistical analysis outcomes.
• Regression: IBM® SPSS® Regression enables you to predict categorical outcomes, create regression models, analyze model summaries and apply various nonlinear regression procedures to datasets when studying consumer buying habits, treatment responses, efficacy of diagnostic measures, credit risk analysis and other situations where ordinary regression and data analysis techniques are limiting or inappropriate.
• Custom Tables: IBM® SPSS® Custom Tables enables you to summarize IBM® SPSS® Statistics data and display your analyses as presentation-quality, production-ready tables.
  • It provides analytical capabilities to help you learn from your data and offers advanced features that enable you to build tables people can easily read and interpret.
  • The solution lets you work with output and present survey results using nesting, stacking and multiple response categories.
  • You can also manage missing values and change labels and formats.