Open Source Linux Psychology Software - Page 2

The project will deliver tools, libraries and recipes (combinations of tools and algorithms) to allow end users the capability to conduct empirical analysis where the results can be used to support claims of validity associated with an assessment.

With this Python module (based on C++ code) it is possible to create a Brain Comp. Interface (BCI) and herewith to get EEG data online and evaluate the data while receiving it. - Up to now, this tool relies on the Brain Vision Rec. as EEG software -

An interactive tool for the simulation and visualization of the electromagnetic activity of the brain.

The term "question-answer paradigm" (QAP) is used in psycho-linguistics to refer to a familiar mode of human discourse. QAParadigm facilitates a common QAP experiment that involves a visual display, then a verbal question about the display.

This is the first implementation of QueLang. QueLang is a language I designed for Questionnaire Design and Implementation. This software can compile your code (written in .ql text files) into a special .qlc format (a kind of database). Then it can read those .qlc files to open them in viewer and export them to PDF format. It can be also used for exam and test designing! Tested on: -Linux Ubuntu 12.04 -Windows 7 64-bit QueLang can run by double clicking the .jar (or .exe) file. NOW INSTALLATION (or compilation) IS NEEDED! QueLang Survey Manager can concentrate Results of answered Questionnaires in a single database for mass statistical processing. Includes: -full documentation -GUI Interface -CLI Interface -Survey Manager TODO: - Write a decent parser (I have to study for that) - Add some more macros - Answer images (instead of text only) -You can always tell me what you want me implement, and I will include it (if possible) in the next update!

QuiRC stands for 'Qualitative Research Coder'. QuiRC performs many of the tasks of NViVo, but it is web based. It is a CMS used by psychology researchers. It was developed at SUNY New Paltz.

ShinyItemAnalysis is an R package including functions and interactive shiny application for the psychometric analysis of educational tests, psychological assessments, health-related and other types of multi-item measurements, or ratings from multiple raters. Exploration of total and standard scores. Analysis of measurement error and reliability. Analysis of correlation structure and validity. Traditional item analysis. Item analysis with regression models. Item analysis with IRT models. Detection of differential item functioning. Number of toy datasets is available, the interactive application also allows the users to upload and analyze their own data and to automatically generate PDF or HTML reports. All methods include sample R code which is ready to copy and paste into R and run locally. Several toy data sets are ready to use. You can also upload and analyze your own data. ShinyItemAnalysis provides model equations, parameter estimates and their interpretation.

This project aims to develop open source psychometric data analysis software, including estimation software for Rasch and Item Response Theory (IRT) models for both dichotomous and polytomous test items.

This is a package for Structural Equation Modeling in development. It is written for extensibility, that is, you can easily define your own objective functions and other parts of the model. At the same time, it is (very) fast. We provide fast objective functions, gradients, and for some cases hessians as well as approximations thereof. As a user, you can easily define custom loss functions. For those, you can decide to provide analytical gradients or use finite difference approximation / automatic differentiation. You can choose to mix loss functions natively found in this package and those you provide. In such cases, you optimize over a sum of different objectives (e.g. ML + Ridge). This strategy also applies to gradients, where you may supply analytic gradients or opt for automatic differentiation or mixed analytical and automatic differentiation. You may consider using this package if you need extensibility and/or speed, and if you want to extend SEM.

The Success Mindmap is a toolkit that allows you to map out a clear concise snapshot of your life. The toolkit allows you to set milestones in your life path, ones that you can track back to in the future so that you can make better choices in the future.

Testmaker is an application written in PHP for creating questionnaires that can be administered online. Provides multiple response formats (likert, single selection, multiple choice, open, etc.) and methods to store the results. The documentation is available at: http://jharo.net/dokuwiki/testmaker (spanish)

The program can read a text file and count the occurrences of single words and clusters of 2 and 3 words. The resulting list will be sorted in descending order (highest frequency on top).

blavaan is a free, open-source R package for Bayesian latent variable analysis. It relies on JAGS and Stan to estimate models via MCMC. The blavaan functions and syntax are similar to lavaan. The development version of blavaan (containing updates not yet on CRAN) can be installed via the command provided in the documentation. Compilation is required; this may be a problem for users who currently rely on a binary version of blavaan from CRAN. The blavaan package depends on the lavaan package for model specification and for some computations. This means that, if you already know lavaan, then you should already be able to do many things in blavaan. In particular, many blavaan commands add the letter “b” to the start of the lavaan command. It is also sometimes possible to use a lavaan command on a blavaan object, though the results may not always be what you expect.

measuring bimanual simple visual reaction time Source code: http://github.com/dualword/dualword-rt

This software aims in providing a Greek version CES-D test.

On the full screen or a frame the colors get changed dynamically by using a image recognition neural net.

This project aims at developing R-based Software for the analysis of typical neuroscientific data. These will include time resolved bootstrap tests and fitting and testing of psychometric functions.

psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.

The psychmeta package provides tools for computing bare-bones and psychometric meta-analyses and for generating psychometric data for use in meta-analysis simulations. Currently, the package supports bare-bones, individual-correction, and artifact-distribution methods for meta-analyzing correlations and d values. Please refer to the overview tutorial vignette for an introduction to psychmeta’s functions and workflows. psychmeta is hosted on both CRAN and GitHub. Documentation for psychmeta’s functions is available in the package’s PDF manual. Includes tools for converting effect sizes, computing sporadic artifact corrections, reshaping meta-analytic databases, computing multivariate corrections for range variation, and more.

this is a book for what i have known, experienced and thought read it if you like it have fun happy hacking