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:
- opensesame:
- 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 under
OpenSesame was reviewed by Vladimir CiobicaOpenSesame 3.3.5
add to watchlistsend us an update- runs on:
- Windows 10
Windows 8
Windows 7
Windows Vista
Windows XP - file size:
- 498 MB
- filename:
- opensesame_3.3.5-py27-win64-1.zip
- main category:
- Science / CAD
- developer:
- visit homepage
top alternatives FREE
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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.
Highlights:
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)
Mac/Windows/Linux/HPC
SPM8/SPM12
http://www.conn-toolbox.org
SPM_SS - fMRI functional localizers
Artifact Detection Tools (ART)
FreeSurfer
Longitudinal Analysis Workspace
Network-Based Statistic (NBS)
HCP Harvard/MGH-UCLA
Mindfulness training preserves sustained attention and resting state anticorrelation between default-mode network and dorsolateral prefrontal cortex: A randomized controlled trial. posted by NITRC Moderator on Dec 26, 2020
Birth weight is associated with adolescent brain development: A multimodal imaging study in monozygotic twins. posted by NITRC Moderator on Dec 26, 2020
Associations Between Altered Cerebral Activity Patterns and Psychosocial Disorders in Patients With Psychogenic Erectile Dysfunction: A Mediation Analysis of fMRI. posted by NITRC Moderator on Dec 26, 2020
Autistic traits are associated with the functional connectivity of between-but not within-attention systems in the general population. posted by NITRC Moderator on Dec 26, 2020
Characteristics of resting-state functional connectivity in older adults after the PICMOR intervention program: a preliminary report. posted by NITRC Moderator on Dec 26, 2020
Functional Connectivity of Successful Picture-Naming: Age-Specific Organization and the Effect of Engaging in Stimulating Activities. posted by NITRC Moderator on Dec 26, 2020
Fusiform Activity Distinguishes Between Subjects With Low and High Xenophobic Attitudes Toward Refugees. posted by NITRC Moderator on Nov 14, 2020
Jasp Logiciel Mac Os
Relationship between media multitasking and functional connectivity in the dorsal attention network. posted by NITRC Moderator on Nov 14, 2020
Defining data-driven subgroups of obsessive-compulsive disorder with different treatment responses based on resting-state functional connectivity. posted by NITRC Moderator on Nov 14, 2020
Unconscious reinforcement learning of hidden brain states supported by confidence. posted by NITRC Moderator on Oct 17, 2020
RE: Contrast specification for Group comparison in a multi-center RCT (controlling for scanner) posted by Marcel Daamen 9 hours ago
MEICA-preprocessed data for denoising and analysis in CONN posted by Remy Cohan 11 hours ago
RE: HPC - SLURM - Parralellisation with conn posted by sophieb 18 hours ago
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RE: ICA: number of components Cutpoints; CompCor posted by Mickael Tordjman on Jan 12
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Contrast specification for Group comparison in a multi-center RCT (controlling for scanner) posted by Till Langhammer on Jan 12
RE: HPC - SLURM - Parralellisation with conn posted by sophieb on Jan 12
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CONN new release posted by Alfonso Nieto-Castanon on Feb 18, 2020
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CONN New Year News posted by Alfonso Nieto-Castanon on Jan 12, 2017
CONN new release (15f) posted by Alfonso Nieto-Castanon on Sep 25, 2015
Announcing Cincinnati CONN course (MGH/HST) posted by Alfonso Nieto-Castanon on Jun 9, 2015
CONN v.13n Released posted by Alfonso Nieto-Castanon on Jul 8, 2013
conn toolbox version 13 released posted by Alfonso Nieto-Castanon on Oct 31, 2011
Batch script for analyzing the NYU_CSC dataset posted by Alfonso Nieto-Castanon on Sep 16, 2009
conn20b.zip posted by Alfonso Nieto-Castanon on Dec 1, 2020
conn19c.zip posted by Alfonso Nieto-Castanon on Mar 14, 2020
mac MCR 2019b (9.7) posted by Alfonso Nieto-Castanon on Feb 11, 2020
conn19b_maci64.zip posted by Alfonso Nieto-Castanon on Feb 11, 2020
conn18b.zip posted by Alfonso Nieto-Castanon on Dec 19, 2018
conn18b_glnxa64.zip posted by Alfonso Nieto-Castanon on Dec 19, 2018
windows MCR 2018b (9.5) posted by Alfonso Nieto-Castanon on Dec 19, 2018
conn18b_win64.zip posted by Alfonso Nieto-Castanon on Dec 19, 2018
linux MCR 2018b (9.5) posted by Alfonso Nieto-Castanon on Dec 19, 2018
conn18b_maci64.zip posted by Alfonso Nieto-Castanon on Dec 18, 2018
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