IBM SPSS Statistics Base Grad Pack v.32 12-Month Subscription (Windows)

AI makes analysis easier—SPSS Statistics v32 makes it more powerful. Discover new ways to explore relationships, forecast outcomes and scale analytics with enhanced capabilities.

The main difference between the two editions (Base and Standard) is that the Standard version includes essential modules for advanced modeling, regression analysis, and custom tables, whereas the Base version is limited to core statistical procedures and basic graphing.

• IBM SPSS Base Grad Pack v.32: Provides the core tools for basic statistics. It includes descriptive statistics, cross-tabulations, basic ANOVA, linear regression, and visual graphing capabilities
• IBM SPSS Standard Grad Pack v.32: Includes everything in the Base version, but adds Advanced Statistics (e.g., General Linear Models, logistic regression, survival analysis) and Custom Tables.

The Base Version includes:

• Descriptive Statistics & T-Tests
• ANOVA & Linear Regression
• Data Preparation & Bootstrapping

To this, the Standard Version adds:

• Custom Tables
• Advanced Statistics (GLM, HLM, etc.)
• Non-linear & Logistic Regression

Features of SPSS v.32 include:

• AI Output Assistant: Powered by watsonx.ai,  The AI Output Assistant analyzes selected results and delivers plain-language insights, making it easier to validate hypotheses and communicate findings.
• Mediation Analysis: Understand what drives your outcomes. Go beyond correlation to uncover how and why variables influence each other. Mediation analysis helps you identify the underlying drivers behind results, enabling more targeted strategies and clearer, more explainable insights.
• Statistics for Genomics: Work seamlessly with complex genomic and bioinformatics datasets using integrated workflows. Simplify data preparation and analysis while unlocking deeper insights in healthcare, life sciences, and research.
• Multi-Variate Time-System Analysis (VAR Models): Analyze multiple time-dependent variables together to capture real-world relationships. Improve forecasting accuracy and gain richer insights into how factors like pricing, demand and external variables interact over time.
• Curtated Help Designer: Accelerate learning with guided, customizable insights. Extend guided help to more statistical procedures and tailor explanations to your needs. Reduce the learning curve, onboard users faster, and embed best practices directly into your analytical workflows.
• Curated Help for T-Test: Get deeper insights into your tables. Curated Help expands to T-tests, providing contextual guidance that reduces the learning curve and enhances analytical accuracy.

Advanced Statistical Analysis
Empower in-depth exploration of complex data. Simplify preparation, create custom tables, and leverage advanced methods to uncover intricate relationships and trends.

• Advanced Statistics: IBM SPSS Advanced Statistics uses univariate/multivariate modeling to reach more accurate conclusions in analyzing complex relationships.
• Bootstrapping: IBM SPSS Bootstrapping estimates the sampling distribution of an estimator by resampling with replacement from the original sample.
• Data Preperation: IBM SPSS Data Preparation streamlines data preparation to help you get ready for analysis faster and reach more accurate conclusions.
• Custom Tables Summarize IBM SPSS Statistics data in different styles for different audiences.

Predictive Modeling & Regression
Utilize precise forecasting with regression and advanced models like neural networks and decision trees. Optimize outcomes, target customers effectively, and maximize campaign ROI.

• Regression: IBM SPSS Regression predicts categorical outcomes and apply nonlinear regression procedures.
• Decision Trees: IBM SPSS Decision Trees uses classification and decision trees to help you identify groups and relationships, and predict outcomes.
• Forecasting: IBM SPSS Forecasting builds time-series forecasts regardless of your skill level.
• Neural Networks: IBM SPSS Neural Networks discover complex relationships and improve predictive models.

Market Research Modeling
Analyze complex market data and handle intricate samples for reliable results. Apply conjoint and categorical analysis to gain deep insights into consumer preferences and market segments.

• Complex Samples: IBM SPSS Complex Samples analyzes statistical data and interpret survey results from complex samples.
• Missing Values: IBM SPSS Missing Values uncover missing data patterns, estimate summary statistics and impute missing values.
• Cojoint: IBM SPSS Conjoint improves understanding and measures purchasing decisions.
• Exact Tests: IBM SPSS Exact Tests derives more accurate conclusions with small samples or rare occurrences.
• Direct Marketing: IBM SPSS Direct Marketing easily identifies the right customers and improve campaign results.
• Categories: IBM SPSS Categories predict outcomes and reveal relationships using categorical data.

To purchase thus product, you must be a student who is currently enrolled in an institution of higher education located in the United States to obtain a degree or participate in a continuing education program, for educational purposes and non-commercial academic research.

Hardware Requirements:

• Processor: Intel or AMD x86 processor running at 1.6 GHz or higher
• Memory (RAM): Minimum 4 GB required; 8 GB or more is highly recommended for 64-bit operations
• Hard Disk Space: Minimum 4 GB of available space for installation
• Display: 1024 x 768 screen resolution or higher

Operating System Support

• Windows: Windows 11 (64-bit), Windows Server 2025, Windows Server 2022, or Windows Server 2019
• Mac: Recent macOS operating systems (support includes Sequoia, Monterey, and Big Sur)

Note: For the best performance when running complex analyses or handling large datasets, it is highly recommended to use an SSD (Solid State Drive) along with 8 GB+ of RAM.