Draft:StatPrism

StatPrism
StatPrism
Written in	Python
Operating system	Microsoft Windows
Type	Statistical software
License	GNU General Public License
Website	www.yakovkinii.com/stat_prism/
Repository	github.com/yakovkinii/stat_prism

Submission declined on 23 July 2026 by Sulfurboy (talk).

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Declined by Sulfurboy 5 days ago. Last edited by Sulfurboy 5 days ago. Reviewer: Inform author.

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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 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

Data processing

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

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.

External links

References

^ "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

[1] "StatPrism User Guide". stat-prism.readthedocs.io. Retrieved 2026-07-23.

[1]

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