Free statistical software | Free Bayesian statistics software

JASP

JASP (Jeffreys’s Amazing Statistics Program) 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. 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. (Wikipedia).

JASP
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Introduction to JASP: Discover Statistics with JASP for Beginners (1 of 6)

How to use JASP statistical software for an introductory or online statistics course. We discover what is JASP and four reasons that you should use it. You will install JASP (for free) and be introduced to what it can do. JASP is an excellent companion to, and even a replacement for SPSS a

From playlist Discovering Statistics with JASP

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The JASP Workspace: Beginners Guide on How to Use JASP for Statistics (2 of 6)

These videos are for people who want to become familiar with JASP and learn how to use it for statistical analysis. I am going to begin by showing you around the JASP workspace. This video will show you how JASP works, demonstrate its similarity with other statistics software, and get you

From playlist Discovering Statistics with JASP

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JASP 0.10.2 Tutorial: Linear Bivariate Regression (Episode 13)

In this JASP tutorial, I go through a simple model fit of one predictor variable to one criterion variable, or bivariate linear regression. NOTE: This tutorial uses the new preview build of 0.10.2.0. This build contains minor bug fixes and so functionality is no different from 0.10.1. Fi

From playlist JASP Tutorials

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JASP 0.10 Tutorial: Descriptive Statistics (Episode 3)

In this JASP tutorial, I explain how to run Descriptive Statistics in JASP. This includes some basic definitions of the statistics and an overview of the plots JASP has available. The data presented here is mine and is unpublished. I am using it for demonstration purposes only. Proper cre

From playlist JASP Tutorials

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JASP 0.16.4 Released! SO MANY MORE NEW FEATURES!

This video is a quick overview of the new features in JASP 0.16.4, released for all platforms in October 2022. JASP: https://jasp-stats.org NOTE: This tutorial uses the new preview/beta build of 0.16.2. This build contains slightly more functions/features than the previous builds used fo

From playlist JASP Tutorials

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JASP 0.13.1 Tutorial: R (beta) Module (Episode 18)

In this JASP tutorial, I chat about the new feature of JASP build 0.13.1: the R Module! I do a quick example of how to use the module, similar to the gif found on JASP's website for the module. It's a no-frills R console integrated directly into the program! NOTE: This tutorial uses the n

From playlist JASP Tutorials

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JASP 0.15 Tutorial: Sort Factor Loadings in EFA & CFA! (Episode 37)

In this JASP tutorial, I explore briefly the new sort feature of Exploratory and Confirmatory Factor Analyses. This means you can take your table directly from JASP and plug it into your paper! The data in this video can be found in the base JASP Data Library. JASP: https://jasp-stats.or

From playlist JASP Tutorials

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Troubleshooting JASP

Here is how to fix three common problems when installing JASP... 1. I want to run JASP in my online browser 2. Mac/PC - my system software is older and the current version of JASP will not load 3. Mac - my CSV opens in Numbers not Excel and will not save in a version JASP can open

From playlist Discovering Statistics with JASP

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JASP Tutorial: JASP Online (through RollApp) (Episode 51)

In this JASP video, I walk through how to use JASP fully online, through a service called RollApp. RollApp is a freemium service that app companies can bundle both free and paid services. Two things to note: 1. The version of JASP will lag the most up-to-date version offered through downl

From playlist JASP Tutorials

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How to Cite and Reference JASP Statistical Software in APA Style 6th edition

When you use statistical software for an analysis, you should cite the name of the software and version number, and sometimes include a reference. Learn how to cite JASP in text and how to reference the software on your reference page. You will also learn how to cite “standard software” in

From playlist Statistics Course Introduction

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JASP Essentials – Learning the Fundamentals (2-4)

In this course, we will use statistical software. Although we have options for which software to use, you will be well-served to have an open-source (free), user-friendly, and highly capable statistics program like JASP. This video will introduce you to the software and give you a glimpse

From playlist Forming Variables for Statistics & Statistical Software (WK 2 - QBA 237)

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How to Cite and Reference JASP Statistical Software in APA Style (7th Edition)

Updated for APA 7th Edition. Learn what type of in-text citation should you use with JASP and how should you reference it on your references page. You will also learn how to cite “common software” in APA style for publications. How do I cite JASP: https://jasp-stats.org/faq/how-do-i-cite

From playlist Discovering Statistics with JASP

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Statistics Software for Business Statistics – Excel and JASP (Week 2)

We will use both Microsoft Excel and JASP for Basic Business Statistics. Together, these two powerful tools allow us to master each of the challenges we will discover as we seek to understand the world through data. Microsoft Excel will be used for data cleaning, data management, and bas

From playlist Basic Business Statistics (QBA 237 - Missouri State University)

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Creating New Variables: Discover Statistics with JASP for Beginners (5 of 6)

Using data in JASP, we create entirely new variables using JASP code, formulas, and R code that can be created in JASP, or edited in R Studio for use in JASP. We create a total score and a mean in a variety of ways, showing all of your computational options in JASP. This is the fifth in a

From playlist Discovering Statistics with JASP

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Setting Variables with Levels of Measurement: Discover Statistics with JASP for Beginners (3 of 6)

Each variable in JASP is assigned a level of measurement (nominal, nominal text, ordinal, or scale). We learn how to change or set those levels and how to set and adjust value levels for categorical variables. I cover whether we have to set levels and how setting levels benefits us. This i

From playlist Discovering Statistics with JASP

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Computing Frequencies and Creating an APA-Style Frequency Table Using JASP, Excel, and Word (3-10)

We create an APA-style frequency table with scores in descending order, simple frequency, relative frequency, cumulative frequency, percentile, and sample size. We use JASP for the statistics, Excel for the formatting, and wrap it all up for presentation in Word. These same techniques work

From playlist Discovering Statistics with JASP

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Logistic regression | SPSS | Mann–Whitney U test | Reproducibility | Binomial test | Multivariate analysis of variance | Random forest | Repeated measures design | Shapiro–Wilk test | Contingency table | Statistics | Analysis of variance | Hierarchical clustering | K-means clustering | Principal component analysis | LaTeX | Log-linear model | Levene's test | Bayesian statistics | Reliability (statistics) | Q–Q plot | Student's t-test | Multinomial test | Linear regression | Pearson correlation coefficient | Boosting (machine learning) | R (programming language) | Spearman's rank correlation coefficient | Descriptive statistics | Structural equation modeling | Analysis of covariance | Kendall rank correlation coefficient | Exploratory factor analysis | K-nearest neighbors algorithm | Meta-analysis | Fuzzy clustering | Bayesian inference | Frequentist inference