Draft:StatPrism
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
|  |
Comment: In accordance with Wikipedia's Conflict of interest guideline, I disclose that I have a conflict of interest regarding the subject of this article. Emixd2 (talk) 11:23, 23 July 2026 (UTC)
| StatPrism | |
|---|---|
 | |
 | |
| Written in | Python |
| Operating system | Microsoft Windows |
| Type | Statistical software |
| License | GNU General Public License |
| Website | www |
| Repository | github |
StatPrism is a free and open-source statistical software package for data processing and data analysis, aimed primarily at researchers and students in psychology and the social sciences.[1] StatPrism runs as a desktop application with a graphical user interface and is released under the GNU General Public License.
Features
[edit]Data processing
[edit]StatPrism facilitates standard data processing pipelines, covering variable transformation such as value mapping, reverse-scoring of items and computation of scale scores. It also supports data quality screening and handling, including long-string analysis, detection of univariate and multivariate outliers, and imputation of missing values.
Data analysis
[edit]StatPrism covers descriptive statistics and hypothesis testing, including correlation analysis, t-tests and analysis of variance with non-parametric alternatives and post-hoc comparisons, and contingency table analysis. It also supports regression with moderation and mediation, psychometric methods including reliability analysis, exploratory and confirmatory factor analysis and structural equation modelling, as well as cluster analysis and power analysis.
See also
[edit]External links
[edit]References
[edit]- ↑ "StatPrism User Guide". stat-prism.readthedocs.io. Retrieved 2026-07-23.
Category:Free statistical software Category:Science software for Windows Category:Free software programmed in Python Category:Software using the GNU General Public License
- provide significant coverage: discuss the subject in detail, not just brief mentions or routine announcements;
- are reliable: from reputable outlets with editorial oversight;
- are independent: not connected to the subject, such as interviews, press releases, the subject's own website, or sponsored content.
Please add references that meet all three of these criteria. If none exist, the subject is not yet suitable for Wikipedia.