Loadmommy422

• Jasp Software Reviews
• Jasp Tutorials

JASP is an open-source project supported by the University of Amsterdam. The software looks and feels like SPSS; though it isn’t native Mac software, it feels more native than some of SPSS’ past versions. Calculations and screen drawing are far, far, far faster than in “real SPSS”.

1. Download and install the best free stats program.
2. The 0.6.6 version of JASP for Mac is available as a free download on our software library. The actual developer of this free software for Mac is JASP. The size of the latest downloadable setup file is 107.9 MB. This Mac download was checked by our built-in antivirus and was rated as virus free.
3. Jasper for Mac is categorized as System Tools. The actual developer of this software for Mac is Ryo Maruyama. The latest installation package that can be downloaded is 62.8 MB in size.

JASP is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form.^[1][2] JASP generally produces APA style results tables and plots to ease publication. It promotes open science by integration with the Open Science Framework and reproducibility by integrating the analysis settings into the results. The development of JASP is financially supported by several universities and research funds.

Analyses[edit]

JASP offers frequentist inference and Bayesian inference on the same statistical models. Frequentist inference uses p-values and confidence intervals to control error rates in the limit of infinite perfect replications. Bayesian inference uses credible intervals and Bayes factors^[3][4] to estimate credible parameter values and model evidence given the available data and prior knowledge.

The following analyses are available in JASP:

Other features[edit]

• Descriptive statistics and plots.
• Assumption checks for all analyses, including Levene's test, the Shapiro–Wilk test, and Q–Q plot.
• Imports SPSS files and comma-separated files.
• Open Science Framework integration.
• Data filtering: Use either R code or a drag-and-drop GUI to select cases of interest.
• Create columns: Use either R code or a drag-and-drop GUI to create new variables from existing ones.
• Copy tables in LaTeX format.
• PDF export of results.

Modules[edit]

1. Summary statistics: Bayesian inference from frequentist summary statistics for t-test, regression, and binomial tests.
2. BAIN: Bayesian informative hypotheses evaluation^[7] for t-test, ANOVA, ANCOVA and linear regression.
3. Network: Network Analysis allows the user to analyze the network structure of variables.
4. Meta Analysis: Includes techniques for fixed and random effects analysis, fixed and mixed effects meta-regression, forest and funnel plots, tests for funnel plot asymmetry, trim-and-fill and fail-safe N analysis.
5. Machine Learning: Machine Learning module contains 13 analyses for supervised an unsupervised learning:
   • Regression
     1. Boosting Regression
     2. Random Forest Regression
     3. Regularized Linear Regression
   • Classification
     1. K-Nearest Neighbors Classification
     2. Linear Discriminant Classification
   • Clustering
6. SEM: Structural equation modeling.^[8]
7. JAGS module
8. Discover distributions
9. Equivalence testing

References[edit]

1. ^Wagenmakers EJ, Love J, Marsman M, Jamil T, Ly A, Verhagen J, et al. (February 2018). 'Bayesian inference for psychology. Part II: Example applications with JASP'. Psychonomic Bulletin & Review. 25 (1): 58–76. doi:10.3758/s13423-017-1323-7. PMC5862926. PMID28685272.
2. ^Love J, Selker R, Verhagen J, Marsman M, Gronau QF, Jamil T, Smira M, Epskamp S, Wil A, Ly A, Matzke D, Wagenmakers EJ, Morey MD, Rouder JN (2015). 'Software to Sharpen Your Stats'. APS Observer. 28 (3).
3. ^Quintana DS, Williams DR (June 2018). 'Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP'. BMC Psychiatry. 18 (1): 178. doi:10.1186/s12888-018-1761-4. PMC5991426. PMID29879931.
4. ^Brydges CR, Gaeta L (December 2019). 'An Introduction to Calculating Bayes Factors in JASP for Speech, Language, and Hearing Research'. Journal of Speech, Language, and Hearing Research. 62 (12): 4523–4533. doi:10.1044/2019_JSLHR-H-19-0183. PMID31830850.
5. ^Nuzzo RL (December 2017). 'An Introduction to Bayesian Data Analysis for Correlations'. PM&R. 9 (12): 1278–1282. doi:10.1016/j.pmrj.2017.11.003. PMID29274678.
6. ^Ly A, Raj A, Etz A, Marsman M, Gronau QF, Wagenmakers E (2017-05-30). 'Bayesian Reanalyses from Summary Statistics: A Guide for Academic Consumers'. Open Science Framework.
7. ^Gu, Xin; Mulder, Joris; Hoijtink, Herbert (2018). 'Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses'. British Journal of Mathematical and Statistical Psychology. 71 (2): 229–261. doi:10.1111/bmsp.12110. ISSN2044-8317. PMID28857129.
8. ^Kline, Rex B. (2015-11-03). Principles and Practice of Structural Equation Modeling, Fourth Edition. Guilford Publications. ISBN9781462523351.

External links[edit]

• jasp-desktop on GitHub

• Download

If your download is not starting, click here.

Thank you for downloading JASP from our software library

The version of JASP you are about to download is 6.0. The software is periodically scanned by our antivirus system. We also encourage you to check the files with your own antivirus before launching the installation. The contents of the download are original and were not modified in any way.

JASP antivirus report

This download is virus-free.This file was last analysed by Free Download Manager Lib 555 days ago.

Jasp Software Reviews

CLAMAV

Jasp Tutorials

Google Safe Browsing