The JASP Team is excited to announce that registration for our annual two-day Amsterdam workshop is now open. The fourth installment of this workshop takes place on August 22-23, 2019. Program In this two-day workshop, plenary lectures provide the theoretical background of Bayesian statistics and Bayesian hypothesis testing; in addition, practical exercises demonstrate how the JASP program is applied to…
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In our series Interview With A Team Member, we aim to introduce the people behind the JASP project. Today we are interviewing Tim Draws. What is your professional background? After working as a freelancer in web design for a while, I studied Psychology at the University of Amsterdam. During my Bachelor’s I developed a strong interest for statistics and data analysis,…
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Last week we submitted a paper with guidelines for conducting and reporting a Bayesian analysis (with a focus on JASP). You can find a preprint here. The Abstract Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply Bayesian procedures and interpret the results. Here we offer specific guidelines for…
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Below is a summary of what the JASP project has accomplished this year. Downloads JASP was downloaded over 150,000 times this year, which is a 100% increase compared to the year before. Most of the downloads came from the US (28%), The Netherlands (6%), France (5%), the UK (5%), Germany (5%), and China (5%). However, in 2018 JASP has been…
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One of our latest releases, JASP 0.9.1, came with an exciting new feature: the ability to compute new variables. This post demonstrates how to use this new functionality by going over a few examples. When analyzing data, it can come in handy to create an extra column that contains a new variable, obtained from one or several of the existing…
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JASP 0.9.2 has been released and is now available on our download page. Next to some bug fixes and internal improvements, this version includes the following new features: WIX installer for Windows (enables you to choose a path for the installation of JASP) Added extra functionality to compute column Export computed column to csv Added option to change the size…
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In this blog post we elaborate on the ideas behind Harold Jeffreys’s Bayes factor and illustrate this test with the Summary Statistics module in JASP. In a previous blog post we discussed the estimation problem, where the goal was to infer, from the observed data, the magnitude of the population effect. Before studying the size of an effect, however, we…
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The Netherlands Initiative for Education Research (NRO) awards a “connection prize” to researchers whose work has translated effectively to a product or activity for educational practice. And this year’s winner is… the JASP project! The JASP nomination page features a nice promotional video. The video is in Dutch, but that should not matter, because it appears that I talk so,…
Read MoreIn our series Interview With A Team Member, we aim to introduce the people behind the JASP project. Today we are interviewing Simon Kucharsky. What is your professional background? I studied Psychology at Charles University in Prague before doing my masters here at University of Amsterdam. I specialised in psychological methods and statistics. Now, I am starting a PhD…
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This year’s International Meeting of the Psychometric Society took place in July, in New York. Within the JASP symposium “Psychometric analysis in JASP”, I had the chance to present the new Network Analysis module, released within the latest version of the software. The Network Analysis module, programmed by Don van Den Bergh, is based on Sacha Epskamp’s R package bootnet…
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JASP 0.9.1 has been released and is now available on our download page. It includes the following new features: Compute columns using a drag-and-drop interface or R code Improvements in classical linear regression Bootstrap confidence intervals of coefficients Cook’s distance (case-wise diagnostics) Partial plots Improvements in ANOVA Homogeneity corrections: Brown-Forsythe and Welch Show df for contrast analysis Option to not…
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