Used SPSS for Windows?


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Editors’ Review

Download.com staff
IBM SPSS Statistics provides a comprehensive suite of tools for every analytical stage. It addresses data quality, complexity, automation, and forecasting to enhance productivity and analysis.

Top Recommended Alternative

Analysts and researchers consistently praise the point-and-click interface for making complex statistical tests approachable without writing code, and call the built-in method library a real strength for serious work. Handling messy, large datasets also draws steady praise.

What The Community Is Saying

  • The Highs
  • The Lows

Cost is the most common frustration, with many calling licensing expensive outside an institutional deal, and the interface is often described as dated. Performance also drags on very large datasets, sometimes pushing people to export charts elsewhere for a cleaner look.

  • The Verdict

A trusted, capability-rich pick for serious statistical work, but budget for real licensing costs and a learning curve the interface doesn't fully hide.

Enlarged image for SPSS
SPSS 0/1
  • Pros

    • Offers a rich set of capabilities for the entire analytical process.
    • Supports data mining, text analytics, and statistical analysis.
    • Enables educators and students to develop critical analytical skills.
    • Facilitates accurate institutional research and decision-making.
    • Modular design allows for customized bundles to fit specific needs.
  • Cons

    • Specific module functionalities require individual purchase or bundling.
    • Developer description does not detail specific performance metrics.

Used SPSS for Windows?


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Full Specifications

GENERAL
Release
Latest update
Version
20.0
OPERATING SYSTEMS
Platform
Windows
Operating System
  • Windows 7
  • Windows 2003
  • Windows 10
  • Windows XP
  • Windows Vista
Additional Requirements
None
POPULARITY
Total Downloads
187,166
Downloads Last Week
19

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User Reviews

5/5

1 User Votes


Developer’s Description

By IBM
Deal with quality, data complexity, automation and forecasting to boost the productivity and data analysis.

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