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JASP (Software)
- Publication Year :
- 2020
-
Abstract
- JASP, Jeffrey’s Amazing Statistics Program (official webpage: https://jasp-stats.org/), version 0.12.2, is an open-source, free statistical software package available on Windows, MacOS, and Linux platforms. It was developed by a group of quantitative methodologists who are interested in improving statistical testing and analysis methods used in the fields of psychological sciences. It implements various analysis methods, particularly those in Bayesian analysis and data science. The implemented methods include t-tests, ANOVA, regression analysis, factor analysis, machine learning, meta-analysis, network analysis, and SEM. JASP also includes a data editor for visual inspection and pre-processing. It supports data importing and exporting from/to various data sources. The statistical analysis program R constitutes the basis of JASP, but for users who are not familiar with programming, JASP is featured with a graphical user interface (GUI) so that the users can select analysis modules and modify options conveniently. To support users in academia, especially those in psychology, JASP provides functionalities for visualizing analysis results in tables and figures according to the American Psychological Association (APA) convention and presents options for modification once they are created.
- Subjects :
- PsyArXiv|Social and Behavioral Sciences
PsyArXiv|Social and Behavioral Sciences|Quantitative Methods|Quantitative Psychology
bepress|Social and Behavioral Sciences
PsyArXiv|Social and Behavioral Sciences|Quantitative Methods|Statistical Methods
bepress|Social and Behavioral Sciences|Psychology|Quantitative Psychology
PsyArXiv|Social and Behavioral Sciences|Quantitative Methods
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....1dc1f2d6320d5059fbe9e97664fb039a