JASP is available for Mac OS X, version 10.12 (Sierra) and above (Which version do I have? JASP can be freely downloaded at www.jasp-stats.org. JASP is available for Windows, Mac, and Linux. The website also contains a demo of JASP in action. Where can I fi nd JASP? JASP off ers many advantages over popular competing packages. Compared to commercial packages such as SPSS, JASP is free, open-source, actively developed,.
- JASP and Jamovi share lightning-fast speed; a wide range of statistics, with extra plugins on Jamovi; and easy installation on Macs, Windows, and Linux. Their basic interface has an Office 365-style open/save/print/export tab; options on the left, output on the right layout; instant changes to the output if you change the input; and export of both data and output, as desired.
- JASP offers a fresh way to do statistics. The application is a low-fat alternative to SPSS, and a perfect alternative to R. Programs for query ″jasp free download″.
- Download and install the best free stats program.
Note: this review concerns an older version (0.92) — JASP is now up to 0.10.2 and has added numerous analyses.
Redis tool. JASP was created as “a low fat alternative to SPSS, a delicious alternative to R,” and comes out of the University of Amsterdam (presumably at lower cost than buying SPSS).
JASP is not yet at version 1 and may be used with caution; it also requires the free XQuartz window environment. Text to speech for gmail on. Though it’s not a native Mac program, it does use the native open/save dialogue box, surprisingly; and it’s easy to install, unlike, say, PSPP.
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” — when you select the tests, they might actually be pumped out before your finger is fully off the mouse.
We loaded our big test file instantly — and ran descriptives instantly. When it could not finish one process in a reasonable time, we ran others, indicating it’s well multi-threaded. The survey file also loaded in a fraction of a second; frequencies for all 40 five-point variables came in the blink of an eye.
Survey researchers will be happy to know they can assign value labels — and unhappy to know they must be done variable by variable, without syntax. The labels are retroactively applied to whatever is in the output window, very rapidly.
There is a copy function for either individual charts or whole analyses, but when we tried, it didn’t work — until I tried pasting into Pages and Word (it looks much better in Pages). Copying worked just fine for graphics, and there’s also an easy graphics export.
What’s missing in JASP? There are still many procedures to be written, but the biggest user-interface gaps from “actual SPSS” are in the lack of syntax or macros, and the lack of customizability for charts. There do not seem to be plans for syntax. There's also no way to change data in the spreadsheet view, but this may not be a big problem; and, while you can use long variable names (with spaces), you can't do variable labels.
Thanks to Prof. Kim-Oliver Tietze for pointing us to JASP.
JASP project/download page • Other free Mac statistics packages • PAST • Jamovi
Unsigned software
The developers do not pay Apple $99 per year for an account, so they are not “signed” by Apple. You can’t open this software by double-clicking; instead, right-click (on one-button mice, hold down the control button while clicking), and select Open from the contextual menu. You will get the scary dialogue box; fill it out if you want to run the software. The system should remember your choice and should not ask you again unless you update the software, and you can double-click to run from here on.
Jasp For Mac
If you don’t even get that far, go to your System Preferences, click on Security & Privacy (first row, looks like a house), go to the General tab, unlock the preference (click on the lock, bottom left), and then select “Allow apps downloaded from App Store and identified developers.” This, again, only has to be done once.
Books by MacStats maintainer David Zatz • MacStats created in 1996 by Dr. Joel West; edited since 2005 by Dr. David Zatz of Toolpack Consulting. Copyright © 2005-2020 Zatz LLC. All rights reserved. Contact us.
| Stable release | |
|---|---|
| Repository | JASP Github page |
| Written in | C++, R, JavaScript |
| Operating system | Microsoft Windows, Mac OS X and Linux |
| Type | Statistics |
| License | GNU Affero General Public License |
| Website | jasp-stats.org |
JASP is a free and open-source graphical 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:
| Analysis | Frequentist | Bayesian |
|---|---|---|
| A/B test | ||
| ANOVA, ANCOVA, Repeated measures ANOVA and MANOVA | ||
| AUDIT (module) | ||
| Bain (module) | ||
| Binomial test | ||
| Confirmatory factor analysis (CFA) | ||
| Contingency tables (including Chi-squared test) | ||
| Correlation:[5]Pearson, Spearman, and Kendall | ||
| Equivalence T-Tests: Independent, Paired, One-Sample | ||
| Exploratory factor analysis (EFA) | ||
| Linear regression | ||
| Logistic regression | ||
| Log-linear regression | ||
| Machine Learning | ||
| Mann-Whitney U and Wilcoxon | ||
| Mediation Analysis | ||
| Meta Analysis | ||
| Mixed Models | ||
| Multinomial test | ||
| Network Analysis | ||
| Principal component analysis (PCA) | ||
| Reliability analyses: α, γδ, and ω | ||
| Structural equation modeling (SEM) | ||
| Summary Stats[6] | ||
| T-tests: independent, paired, one-sample | ||
| Visual Modeling: Linear, Mixed, Generalized Linear |
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]
- Summary statistics: Bayesian inference from frequentist summary statistics for t-test, regression, and binomial tests.
- BAIN: Bayesian informative hypotheses evaluation[7] for t-test, ANOVA, ANCOVA and linear regression.
- Network: Network Analysis allows the user to analyze the network structure of variables.
- 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.
- Machine Learning: Machine Learning module contains 13 analyses for supervised an unsupervised learning:
- Regression
- Boosting Regression
- Random Forest Regression
- Regularized Linear Regression
- Classification
- K-Nearest Neighbors Classification
- Linear Discriminant Classification
- Clustering
- Regression
- SEM: Structural equation modeling.[8]
- JAGS module
- Discover distributions
- Equivalence testing
Jasp For Mac Pro
References[edit]
- ^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.
- ^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).
- ^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.
- ^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.
- ^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.
- ^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.
- ^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.
- ^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