Released last week, JASP 0.9 contains a feature that many users have eagerly anticipated: filtering. This post demonstrates how to use the new filtering functionality by going over several examples. The filtering functionality in JASP has three interfaces: the Click Filter, the Drag and Drop Filter and the R Filter. To illustrate their use, we will analyze a couple of…
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We are delighted to announce that JASP 0.9 is now available on our download page. It includes the following new features and improvements: Filtering: use either R code or a drag-and-drop GUI to select cases of interest (an in-depth explanation on filtering in JASP will be posted soon) The JASP data library: an initial collection of over 50 data sets,…
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Our annual JASP workshop takes place in Amsterdam on August 27-28, and there are still places available. The workshop is taught by Richard Morey and myself. This year we will discuss several new features, including Bayesian model averaging for linear regression (based on Merlise Clyde’s BAS package in R) and our newly developed Bayesian A/B test. Below is a summary…
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The 30th Annual Convention of the Association for Psychological Science takes place this weekend in San Francisco. Johnny van Doorn and myself will present JASP on two different occasions: We will present JASP at the Open Science Pavilion. You can drop by to say hi, collect some JASP stickers, or get a sneak peek at the upcoming version of JASP…
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Occasionally I get feedback from JASP users who write: “I would like to be able to edit data directly in JASP”. Each time I discuss this issue, however, I can convince our users that the way you can edit data with JASP is smarter. That’s why I’d like to expose my arguments in this blog post. First of all, you…
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When we designed JASP we faced a difficult choice: should we implement a standalone application or a web application? After due deliberation we chose the standalone option. We have revisited this decision several times but always ended up sticking to our initial choice. However, web applications do have some advantages over standalone versions. For instance, web applications are easy to…
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The independent samples -test is used to assess whether the means of two populations are equal to each other. This blog post shows how to perform the classical independent samples -test, i.e., the two-sample -test, in JASP. For this demonstration we consider the following example. Example on the Effect of Extra Reading Activities on Drp Scores Moore et al. (2009,…
Read MoreBackground The JASP Summary Stats module allows practitioners to complement frequentist analyses with a Bayesian alternative, and do so easily and efficiently. As the name suggests, the Summary Stats module only requires commonly-reported summary statistics such as the observed -value and the sample size . The ability to conduct Bayesian analyses from summary statistics is particularly useful when the raw…
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This blog post explains how you, as a JASP user, can help improve the program — simply give us feedback whenever something is amiss. Specifically, whenever you notice that JASP cannot execute an important task (e.g., filter cases), you can tell us by issuing a feature request; whenever you notice that JASP malfunctions in some way (e.g., the font size…
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Network analysis is a relatively new and promising method for modeling interactions between large numbers of variables. Instead of trying to reduce the structure of the variables to their shared information, as is done in latent variable modeling, we estimate the relation between all variables directly. In this blogpost, we provide a short tutorial on how to do network analyses…
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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 Akash Raj, one of our software developers. Akash is a software developer. At JASP, he is responsible for the implementation of UI elements. Akash also implemented the Summary Stats module. What is your professional background? After…
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