Open Source Psychology Software
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Psychology Software
View 221 business solutionsBrowse free open source Psychology software and projects below. Use the toggles on the left to filter open source Psychology software by OS, license, language, programming language, and project status.
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IRAMUTEQ : Interface de R pour les Analyses Multidimensionnelles de Textes et de Questionnaires. Logiciel de traitement de données pour des corpus texte ou de type individus/caractères. Permet notamment de réaliser des analyses de type "ALCESTE"
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StructuralEquationModels.jl
A fast and flexible Structural Equation Modelling Framework
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. -
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blavaan
An R package for Bayesian structural equation modeling
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. -
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GroupDynamics
Sociometry made simple
This program processes the data obtained by the sociometric test performed on a group of subjects. The study of the output graphs are useful to analyze the social dynamics within the group. 1) Implement a simple and effective user interface. Facilitates and accelerates the initial phase of data entry. 2) Results of the analysis in a graphical format. Provides a rapid assessment of the results. 3) Export of analysis results in graphical format. The analyst can use any word processor or spreadsheet to create a document of the group dynamics that integrates only the significant graphics. Specifications: - From 1 to 10 questions. A question may be positive (acceptance) or negative (rejection). - From 1 to 100 subjects. - From 1 to 10 answers for each question. - Bar graph. Displays the number of acceptances and rejections obtained by subjects. - Target graph. Displays the subjects divided into categories. - Sociogram. Displays the choices between subjects. -
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WordCount
Count frequency of single, 2-word and 3-word clusters in a text
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). -
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Digit Span Tester
A Task / Test of Working Memory for Cognitive / Neurosciece Research
To perform automated digit span tests to evaluate on working memory function, especially in cognitive / neuro research. Hope to reduce practice effects and eliminate the need to use clinical assessments in research settings. Requires Java 7 or newer. Note that this is a research tool, and was not intended (and not evaluated) for clinical assessment. FINAL VERSION: If you want more features, download the source and hack it yourself. Apologies to those who've asked for help and got no response -- I lost my password, and wasn't able to log in for years. THIS IS AN OLD PROJECT, started for practice, and can be buggy on some systems; the code is messy and the design may be simplistic in ways. -
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ELIA(Eyegaze Language Integration Analysis) supports the analysis of eye-tracking data for studies in language processing. ELIA eases early analysis of data to enable iterative development of experiments in response to spoken language.
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EyeMap is a visualization and analysis tool for text reading eye movement data. It can process Unicode, proportion/non-proportion and spaced/unspaced reading materials, which supports various languages and experiment methods.
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CF Puzzle
Application for creating and administering cognitive flexibility tasks
The cognitive flexibility (CF) puzzle is a task designed to measure people’s ability to effectively switch between different mental rule sets. The task is based off of existing measures of CF, the Trail Making Task and the Wisconsin Card Sorting Task and has been previously validated. The application provided here allows researchers to create and administer multiple experiments. Response times and errors are exported to text files for analysis. Two versions are available for download, one with randomized presentation order (CF Puzzle-rand) and one with fixed presentation order (CF Puzzle-!rand). The CF puzzle was developed by Dr. Robert Youmans and Christian Gonzalez and programmed in AdobeⓇ FlashⓇ by Dustin Rhodes. See below for more information: Gonzalez, Figueroa, Bellows, Rhodes & Youmans (2013). A new behavioral measure of cognitive flexibility. Proceedings from 15th International Conference on Human-Computer Interaction. Las Vegas, Nevada. -
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Program to help with the procedure called theWork of ByronKatie. It is not standalone executable on windows or osx. It will require the installation of python, wxPython, and pygame, all free. Links on the website.
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METAlab GTG
Matlab toolbox to run a GLM on graph theoretic properties in MRI data
This Matlab toolbox runs a GLM on graph theoretic network properties in brain networks. The GLM accepts continuous & categorical between-participant predictors and categorical within-participant predictors. Significance is determined via non-parametric permutation tests. The toolbox allows testing of both fully connected and thresholded networks (based on a range of thresholds). The toolbox also provides a data processing path for resting state fMRI data. Several options for partialing nuisance signals are available, including local and total white matter signal (Jo et al., 2013), calculation of Saad et al. (2013)'s GCOR, and the use of Chen et al. (2012) GNI method to determine whether global signal partialing is needed. In addition, Power et al. (2014)'s motion scrubbing method is available. -
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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.
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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.
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Sound to Text
Convert a sound file to text to analyze it
Convert a sound file to text you can analyze to spot hidden words for psychological or universal-philosophical interpretation. The program will convert a sound file to text, with the purpose of analyzing it to spot intelligible words. Use the program with songs, movie or TV dialogue, private recordings, to reveal the hidden text messages of the sound. The resulting text will be a long string of mostly repeating characters but, every so often, you will notice an intelligible word, either spelled normally or with repeated letters, missing letters or anagrammed letters. It takes a little allegoric-Freudian psychological exegetic ability to elaborate the right chain of mind associations to infer a convincing interpretation of the resulting text. You may want to share the text with a psychologist to get a professional opinion on your interpretation, but sometimes the meaning will be surprisingly obvious. -
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psignifit is a toolbox to fit psychometric functions and test hypotheses on psychometric data. This is version 3 which will now predominantly support python.
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Freeware experimental artificial intellectual systems based on self-organization of chaotic digital network. The peculiarity of this system is that the digital network created using radionic* technology that provides interaction between human and computer thinking. This digital network of the brain obtained by the interaction of the operator with the software, on the basis of generating random sequences at pomotsi quark-neuronal cluster. Thus, in part, this artificial neural network is a replica of the brain.
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Application written in C# to store references for papers, convert them to APA format and then retrieve them again later (if needed). Not a ground-breaking application by any means, but it does the job.
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Abjad
مكتبة أبجد
# مكتبة أبجد تحتوى على كتب، ومخطوطات نادرة جدا. بلتعاون مع منتدي الملوك السبعة للروحانيات حقوق النشر© هذا المُصنَّف مرخص بموجب رخصة المشاع الإبداعي نَسب المُصنّف - منع الاشتقاق 4.0 دولي. E-Mail : aba.elwaled@gmail.com Phone : +201030070676 https://elmlok-7.yoo7.com ___________ https://www.facebook.com/Abjjaad ___________ https://www.facebook.com/AabjAad ___________ https://elmlok7yoo7com.wordpress.com ___________ https://www.reddit.com/user/ro7ane ___________ https://elml0k.blogspot.com ___________ https://ro7ane.tumblr.com ___________ https://twitter.com/ro7ane1 ___________ https://www.instagram.com/abjad.science ___________ https://www.pinterest.com/Abjad66/_saved ___________ https://www.facebook.com/groups/549252415819771/ ___________ https://www.linkedin.com/in/abjad-science-513159194 ___________ https://www.youtube.com/channel/UCR9T7Fw83ovaf7sgPjgVEMg -
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Global Consciousness Project uses hardware "random" number generators and finds patterns between that and major world events. This Java applet will run on their webpage and translate that data to music-like audio. Or for general audio synthesizing.
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Software destinado ao autoconhecimento, bem como ao desenvolvimento dos potenciais mentais, através de auto hipnose, pnl e mensagens subliminares. O Experimentador contará com um vasto acervo de material que induz à hipnose, cuidadosamente analisado. Sendo o mesmo um sistema de multimídia (audiovisual) programável, onde você poderá inserir suas próprias mensagens. Contará também com um sistema de avaliação, tanto para seu potencial de hipnose quanto de seu próprio auto conhecimento. Mais do que uma aplicativo com potencial, trará também instruções práticas independentes. O objetivo é fornecer tanto o conhecimento quanto os meios para uma mudança interior verdadeira, totalmente independente.
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CLPlatform
This platform aims to collect cognitive load information from users
Currently, this platform can collect participants' personal information, as well as speech data from two designed task, Stroop test in Chinese and English and Reading span task in Chinese and English. However, it could be easily extended to other language by only editing XML configurations. Please setup your microphone first before using this platform. -
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EduCDM
The Model Zoo of cognitive diagnosis models
The Model Zoo of Cognitive Diagnosis Models, including classic Item Response Ranking (IRT), Multidimensional Item Response Ranking (MIRT), Deterministic Input, Noisy "And" model(DINA), and advanced Fuzzy Cognitive Diagnosis Framework (FuzzyCDF), Neural Cognitive Diagnosis Model (NCDM), Item Response Ranking framework (IRR), Incremental Cognitive Diagnosis (ICD) and Knowledge-association baesd extension of NeuralCD (KaNCD). Cognitive diagnosis model (CDM) for intelligent educational systems is a type of model that infers students' knowledge states from their learning behaviors (especially exercise response logs). Typically, the input of a CDM could be the students' response logs of items (i.e., exercises/questions), the Q-matrix that denotes the correlation between items and knowledge concepts (skills). The output is the diagnosed student knowledge states, such as students' abilities and students' proficiencies on each knowledge concepts. -
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EduData
Datasets in Education and convenient interface for dataset
Datasets in Education and convenient interface for downloading and preprocessing dataset in education. The CLI tools to quickly convert the "raw" data of the dataset into "mature" data for knowledge tracing task. The "mature" data is in json sequence format and can be modeled by XKT and TKT(TBA) The analysis dataset tool only supports the json sequence format. To check the following statical indexes of the dataset. In order to better verify the effectiveness of the model, the dataset is usually divided into train/valid/test or using kfold method. Each item in the sequence represents one interaction. The first element of the item is the exercise id (in some works, the exercise id is not one-to-one mapped to one knowledge unit(ku)/concept, but in junyi, one exercise contains one ku) and the second one indicates whether the learner correctly answers the exercise, 0 for wrongly while 1 for correctly. -
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FreeBrain will be an application for the analysis of 2D neurophysiological signals, like heart-rate, EEG or eyemovements. It is aimed at those who want intuitive or free software and those who want a customizeble tool that can handle mixed datasets.
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GDINA Package for Cognitively Diagnostic
Package for Cognitively Diagnostic Analyses
Estimating G-DINA model and a variety of widely-used models subsumed by the G-DINA model, including the DINA model, DINO model, additive-CDM (A-CDM), linear logistic model (LLM), reduced reparametrized unified model (RRUM), multiple-strategy DINA model for dichotomous responses. Estimating models within the G-DINA model framework using user-specified design matrix and link functions. Estimating Bugs-DINA, DINO and G-DINA models for dichotomous responses. Estimating sequential G-DINA model for ordinal and nominal responses. Estimating the generalized multiple-strategy cognitive diagnosis models (experimental). Estimating the diagnostic tree model (experimental). Estimating multiple-choice models. Modelling independent, saturated, higher-order, loglinear smoothed, and structured joint attribute distribution. Accommodating multiple-group model analysis. Imposing monotonic constrained success probabilities. Accommodating binary and polytomous attributes.
Open Source Psychology Software Guide
Open source psychology software is a type of software developed for use in psychological research and diagnosis. It is an open source system, meaning that it is available to the public to view, modify, and share. The main advantage of this type of software is its affordability. Open source systems are typically free or low cost, allowing researchers and practitioners to access powerful technology without breaking the bank.
This type of software can range from simple diagnostic tests designed to assess mental health issues to complex data analysis packages capable of handling large datasets with complex mathematical equations. Many open-source programs also come with extensive tutorials and user manuals, making them ideal for teachers, students, and practitioners alike. For example, one popular open-source program known as PsychPy contains a comprehensive collection of cognitive tests along with detailed instructions on how to use them properly.
The availability of an open source platform allows psychologists the flexibility needed when trying out new theories or approaches in their practice or research. They can freely tinker with different features until they find something that works best for their needs without worrying about paying expensive licensing fees or being bound by restrictive contracts. This makes conducting experiments and collecting results much simpler than before as well as providing more reliable data without having to worry about potential legal ramifications. Additionally, most open-source psychology software comes with built-in support communities where users can ask questions and receive advice from other professionals who may have encountered similar problems in their own practice or research endeavors.
Overall, the benefits associated with using open source psychology software are numerous; it provides efficient diagnostic tools at a fraction of the cost compared to proprietary systems while still offering all the features necessary for successful experimentation and analysis. Furthermore, its accessible platform and large community provide ample opportunity for practitioners and researchers alike looking to develop new tools or techniques within the field of psychology.
Features Provided by Open Source Psychology Software
- Data Collection: Open source psychology software provides easy to use data collection tools, such as questionnaires, surveys, and checklist forms. These can be used to gather information from individuals in a study or research project.
- Analysis Tools: The software offers different types of analysis tools for exploring the collected data. This includes statistical methods like regression analysis and factor analysis, as well as graphical plotting tools like scatterplots and histograms.
- Machine Learning: Open source psychology software is often equipped with machine learning algorithms that can accurately measure psychological traits from the collected data. This includes classifiers that can recognize patterns in responses to questions, as well as natural language processing (NLP) models for extracting meaningful insights from text-based responses.
- Report Generation: The software allows researchers to quickly generate reports for their studies or experiments. Reports are typically generated in PDF format, making them easy to share with stakeholders or colleagues.
- Collaboration Tools: Many open source psychology software packages include collaboration features that allow researchers to work together on projects remotely—from anywhere in the world. This includes discussion forums where team members can exchange ideas and discuss issues related to their work, as well as shared document editors that enable real-time collaboration on written documents or manuscripts.
Different Types of Open Source Psychology Software
- Cognitive Behavioral Therapy Software: This type of software helps people to identify and modify negative thought patterns in order to improve mental health and behavior. It typically involves a series of exercises designed to help the user become more aware of their thoughts and behaviors, and adjust them accordingly.
- Mindfulness Training Software: This type of software encourages users to be more aware and mindful of their emotions, feelings, thoughts, and physical sensations. It is usually interactive, prompting the user to focus on one particular aspect at a time such as breathing or body scanning.
- Personality Assessment Software: This type of software evaluates an individual's personality traits by asking questions related to various aspects of personality such as motivation, emotional stability, introversion/extroversion etc. The results can then be used in psychological assessments or for other research purposes.
- Mental Health Tracking Apps: These apps are designed to monitor the user's mental health over time using self-reported data such as mood changes, stress levels, sleeping patterns etc. They can also provide tools for managing anxiety and depression or helping with goal setting and habit tracking.
- Psychotherapy/Counseling Apps: These apps provide users with access to online therapists or counselors who can offer advice regarding mental health issues such as depression, stress management etc. They may also include features such as chat bots that aim to help diagnose symptoms before connecting the user with a professional therapist/counselor.
Advantages of Using Open Source Psychology Software
- Cost effectiveness: One of the greatest benefits of open source psychology software is its cost-effectiveness. Open source solutions are typically free to use, as opposed to commercial software products, which can be costly. This allows a practitioner to save money while also benefiting from an effective tool for their practice.
- Flexibility: Open source psychology software is often highly customizable and adaptable. This makes it possible for practitioners to tailor the program or system to their specific clinical needs without the need for significant programming knowledge or expertise.
- Security: The open source model enables developers to quickly identify and patch security vulnerabilities, making open source solutions some of the most secure on the market. Additionally, many open source programs have been thoroughly tested by a wide range of users and developers over time, leading to greater stability and reliability.
- Support/Collaboration: Many open source projects have large online communities, providing a wealth of support for users who may need help with troubleshooting issues or general advice about managing their data. Additionally, these close knit communities allow members to easily collaborate on new ideas for improving existing tools and developing new ones that can benefit everyone in the group.
- Interoperability: Unlike proprietary psychology software solutions which might only work with certain types of hardware or operating systems, open source solutions are usually compatible with multiple platforms and devices due to their cross platform design capabilities. This allows clinicians and researchers using different systems around the world to communicate with each other more effectively.
- Quality Assurance: Since anyone is able to contribute code towards an open source project, there's a built-in system of checks and balances when it comes to releasing updates or bug fixes that ensure only quality results are available in the end product.
Types of Users That Use Open Source Psychology Software
- Researchers: People who use psychology software for research purposes. They tend to have extensive knowledge of the field, and are versed in the specific software their research requires.
- Educators: Instructors looking to teach psychology classes will find open source software useful for demonstration purposes, and may use the program to evaluate student work.
- Students: Students attending psychology courses may utilize open sourcepsychology software for their homework assignments and class projects.
- Professionals: Practitioners may use open source psychology software to develop treatment plans, track progress, or create reports for clients.
- Clinicians: Clinicians can apply open source psychology software when developing therapeutic techniques and providing clinical care.
- Data Analysts: Data analysts often rely on open source psychometric tools to measure psychological variables such as personality traits or intelligence levels.
- Psychologists: Psychologists can use the resources provided by open source programs to gain insight into behavior patterns or mental health issues.
How Much Does Open Source Psychology Software Cost?
Open source psychology software is completely free of charge. Open source software is developed and maintained by volunteer individuals or organizations. It operates under the concept of open collaboration, which means that anyone can view, use, modify, and distribute the source code for the software without having to pay a fee. This type of software is often referred to as “free and open source” or FOSS.
Open source psychology software offers many advantages over traditional commercial systems. For example, it is typically much more comprehensive in terms of features and capabilities than what one could purchase from a retail store. Additionally, it has been designed with flexibility in mind; users often have complete control over how they use the system and can customize it to meet their specific needs. The downside to this kind of software is that you may encounter some bugs during its initial setup phase; however, most bugs can be fixed relatively quickly due to the open nature of the project.
Overall, using FOSS psychology software gives professionals access to powerful tools at no cost while simultaneously contributing back to furthering research in their field – making it an excellent option for those looking for affordable yet high-quality solutions.
What Software Does Open Source Psychology Software Integrate With?
Open source psychology software can integrate with a wide range of other types of software. For example, many open source programs are able to communicate with databases, allowing researchers to store and access large amounts of data. This type of integration is useful for tracking changes in patient mental health over time. Additionally, some open source psychology software can integrate with web applications such as social media platforms or online survey systems. This allows researchers to gain access to new sources of data that would not normally be available through traditional methods. Finally, there are some open source programs that allow integration with artificial intelligence techniques. This type of integration provides users with the ability to automate certain tasks related to psychological research, making their work more efficient and accurate.
What Are the Trends Relating to Open Source Psychology Software?
- Increased Accessibility: Open source psychology software allows for greater access to the tools used in psychological research and treatment, as it is available to anyone with an internet connection. This makes psychological tools more widely available than ever before, allowing researchers and therapists to work remotely on any device.
- Lower Costs: Open source psychology software is typically free or low-cost compared to traditional software, allowing psychologists and other mental health professionals to save money while still providing high-quality services.
- Improved Security: Open source software is generally more secure than traditional software, as it is built using open-source code that can be inspected and tested by anyone with access to the source code. This helps ensure that data is secure and not vulnerable to malicious actors.
- Increased Collaboration: The open source nature of psychology software leads to a greater degree of collaboration among users, as they can easily share their work with others. This makes it easier for psychologists to work together on projects, share ideas, and develop new treatments for patients.
- Improved Quality: By making the code open-source, developers can continuously review and improve the quality of the software, leading to better results for users. This can lead to improved accuracy in research studies and more effective treatments for patients.
How Users Can Get Started With Open Source Psychology Software
- Getting started with open source psychology software is simple and straightforward. The first step is to find the right type of software that best fits your purpose. There is a variety of different types of software available, including tools for research, data analysis, psychological tests and assessments, and more. Once you have chosen the right software, it’s time to download and install it on your computer. Depending on the type of software you choose, this process can be relatively easy or more complicated.
- Once installed, most open source psychology software will come with instructions to help you get started quickly and easily. It’s important to follow these instructions carefully so that you can use the full capabilities of the program correctly. For example, if it’s a research tool or an assessment program then you may need to set up some parameters for collecting data or administering tests in order to get the most out of them.
- Once everything is set up properly, then it’s time to start using the software. You should spend some time familiarizing yourself with the features available so that you can make sure that you are using them effectively. Most open source psychology software also comes with tutorials which walk users through how to do certain tasks within the program – these can be great resources for getting comfortable with your particular piece of software.
- Finally, while using open source psychology software can be an excellent way to enhance and improve your work in this field of study, it is still important that all results are interpreted responsibly and any implications considered carefully as well as checked thoroughly before being published or used professionally. With this in mind, professional guidance from experienced practitioners should always be sought when appropriate.