A comprehensive software solution designed to help both experts and beginners build complex psychological or sociological experiments
What's new in OpenSesame 3.3.5:
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS. JASP User Guide. Guide to Building JASP. The JASP Guide for Implementing Analyses in R. Guide to Adding Analyses. Guide to creating a. Mac MCR 2019b (9.7) posted by Alfonso Nieto-Castanon on Feb 11, 2020 conn: files for standalone installation on Mac/macOS (without Matlab) release conn19bmaci64.zip posted by Alfonso Nieto-Castanon on Feb 11, 2020. JASP offers a fresh way to do statistics. The application is a low-fat alternative to SPSS, and a perfect alternative to R. Bayesian statistics made accessible. The JASP application is written in C, using the Qt toolkit. The analyses themselves are written in either R or C. 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″. Welcome to the JASP Tutorial section. Below you can find all the analyses and functions available in JASP, accompanied by explanatory media like blog posts, videos and animated GIF-files. Click on the JASP-logo to go to a blog post, on the play-button to go to the video on Youtube, or the GIF-button to go to the animated GIF-file.
- Bug fixes and improvements:
- Updated to 3.3.5
- log.open() does not update var.logfile or list of data files
OpenSesame is a streamlined piece of software created especially for users that want to build psychology-related experiments. In addition, the application is also well-suited for creating complex experiments in fields like neuroscience and experimental economics.
Right off the bat, it should be noted that the utility is designed from the ground up to make it possible for you to use third party devices such as eye trackers, button boxes and EEG equipment.
Enhance the app's capabilities by adding Python code
Jasp Logiciel Mac Gratuit
Furthermore, since almost everything related to psychology usually involves high-level complexity, it is worth mentioning that OpenSesame enables you to use Python to further enhance the provided possibilities.
For example, in situations in which the app is no longer sufficient, you can customize its core functionality by adding Python codes to your experiments. This is probably the best time to point out that it is a very good idea to take a while and read the instructions and possibly undergo some of the tutorials provided on the developer's website.
Typical installation process and intuitive interface
The app undergoes a typical installation process, after which it can be launched without the need of configuration on your part. The main window is fairly well structured and the interface makes it easy for you to access all its functions with ease.
On the top part of the main window, you can find the app's top toolbar that provides you quick access to some of the main features and commands, on the extreme left there is a compact panel that offers direct access to some of the most commonly used tools and right next to it an Overview panel that displays the structure of your experiment.
Complex and advanced, cross-platform app for psychology-related experiments
In addition to all this, you should also know that OpenSesame is a cross-platform application which means that you can run it just as efficiently on all major operating systems out there, namely Windows, macOS and Linux.
All in all, OpenSesame is a reliable and useful utility that, once you take the time to read all the complex instructions and learn its functions, can help you develop complex psychological experiments using your computer as the primary platform for doing so.
Filed underOpenSesame was reviewed by Vladimir Ciobica
OpenSesame 3.3.5add to watchlistsend us an update
- runs on:
- Windows 10
- file size:
- 498 MB
- main category:
- Science / CAD
- visit homepage
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CONN includes a rich set of connectivity analyses (seed-based correlations, ROI-to-ROI graph analyses, group ICA, masked ICA, generalized PPI, ALFF, ICC, GCOR, LCOR, etc.) in a simple-to-use and powerful software package
CONN is available for resting state data (rsfMRI) as well as task-related designs. It covers the entire pipeline from raw fMRI data to hypothesis testing.
Comprehensive quality assurance methods/measures/displays (scrubbing/ART, CompCor/ICA/GSR denoising, GCOR/FD QC covariates)
Connectome-wide analyses (ICA, MVPA)
Dynamic connectivity analyses (dyn-ICA)
FWE-control of connectivity matrices (NBS)
Non-parametric cluster-level statistics (permutation tests)
ANOVA, regression, longitudinal, and mixed designs
Parallelization options (SGE/Grid Engine, PBS/Torque, LSF, Slurm)
SPM_SS - fMRI functional localizers
Artifact Detection Tools (ART)
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Network-Based Statistic (NBS)
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Jasp Logiciel Mac Os
Relationship between media multitasking and functional connectivity in the dorsal attention network. posted by NITRC Moderator on Nov 14, 2020
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