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SPSS Statistics is a statistical software suite developed by IBM for data management, advanced analytics, multivariate analysis, business intelligence, and criminal investigation. Long produced by SPSS Inc., it was acquired by IBM in 2009. Versions of the software released since 2015 have the brand name IBM SPSS Statistics.
The analysis highlights History, Versions and ownership history and Overview as prominent areas in the source structure around SPSS.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around SPSS shows recurring relationship patterns in the source. For example, SPSS → Alan, Amherst, Argyrous, Book, Bryman, Chicago, Command Syntax Reference, Cramer, Dan, Data Management, Doing It Ourselves, Duncan, Guide, IBM SPSS, Illinois, In Clawson, ISBN, Levesque, London, Massachusetts Press Another extracted example is SPSS → Bent, Dale, Early, Fortran, From, Hadlai Hull, IBM, ICL, JulySPSS, June, June SPSS, MarchSPSS, MaySPSS, Nie, Norman, November, SeptSPSS, Social Sciences, SPSS Inc, SPSS Statistics. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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TTTA extracted 134 structured relationships around SPSS. Examples in this analysis include SPSS → Developers → Norman H. Nie, Dale H. Bent, C. Hadlai Hull and SPSS → License → Subscription or enterprise licensing. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| SPSS | Developers | Norman H. Nie, Dale H. Bent, C. Hadlai Hull | 1.00 | infobox |
| SPSS | License | Subscription or enterprise licensing | 1.00 | infobox |
| SPSS | Operating system | Windows (x86-64), macOS (x86-64), Linux (x86-64, ppc64le, IBM Z) | 1.00 | infobox |
| SPSS | Platform | Java | 1.00 | infobox |
| SPSS | Release | 1968; 58 years ago (1968) | 1.00 | infobox |
| SPSS | Size | ~1.2 GB | 1.00 | infobox |
| SPSS | Stable release | 31.0.0 / 10 June 2025 | 1.00 | infobox |
| SPSS | Type | Statistical analysis Numerical analysis | 1.00 | infobox |
| SPSS | Website | www.ibm.com/spss | 1.00 | infobox |
| the variable name | instance of | where each row represents a variable and shows the variable properties | 0.80 | text |
| format | instance of | where each row represents a variable and shows the variable properties | 0.80 | text |
| measurement level | instance of | where each row represents a variable and shows the variable properties | 0.80 | text |
The concept neighborhoods around SPSS bring nearby vocabulary together. In this analysis, examples include Statistics, Ibm and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For SPSS, one of the stronger structural bridges in this analysis connects SPSS with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around SPSS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Versions and ownership history & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — SPSS · EN edition · Analysis: TopicsToTalkAbout