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Summary
Psychology
Debian Med packages for psychology

This metapackage contains dependencies for a collection of software which might be helpful for psychological research.

Description

For a better overview of the project's availability as a Debian package, each head row has a color code according to this scheme:

If you discover a project which looks like a good candidate for Debian Med to you, or if you have prepared an unofficial Debian package, please do not hesitate to send a description of that project to the Debian Med mailing list

Links to other tasks

Debian Med Psychology packages

Official Debian packages with high relevance

Praat
音声分析および音声合成用プログラム
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fieldlinguistics
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scopeapplication
uitoolkitmotif
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作者によると、praat は "doing phonetics by computer" の略称だそうです。 グラフィカルなインターフェイスを通じて、スペクトログラム、cochleogram、 そしてピッチやフォルマントの抽出といった複数の音声分析機能が利用できます。 調音分析に加え、ピッチやフォルマント、そして強度からの分析が利用できます。 セグメント分割、音声のアルファベットを使ったラベル付け、そして統計計算 といった機能も利用できます。Praat はスクリプト言語を通じた設定や機能が豊富 でい、他のプログラムとの通信の用意ができています。

Please cite: Paul Boersma: Praat, a system for doing phonetics by computer. Glot International 5(9/10):341-345 (2001)
Screenshots of package praat
Psignifit
サイコメトリック関数についての仮説のフィッティング及びテスティング
Maintainer: NeuroDebian Team
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Psignifit は多量のパラメタのコントロールを維持しながらサイコメトリック関数を データ集合にフィッティングすることを可能にします。 データはテキストファイルから読むこともパイプで渡すこともできます。

Psignifit は信頼区間の計算と、同様にフィットの良好さテストを実施します。

これはコマンドライン版です。

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Psychopy
environment for creating psychology stimuli in Python
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PsychoPy provides an environment for creating psychology stimuli using Python scripting language. It combines the graphical strengths of OpenGL with easy Python syntax to give psychophysics a free and simple stimulus presentation and control package.

The goal is to provide, for the busy scientist, tools to control timing and windowing and a simple set of pre-packaged stimuli and methods. PsychoPy features

  • IDE GUI for coding in a powerful scripting language (Python)
  • Builder GUI for rapid development of stimulation sequences
  • Use of hardware-accelerated graphics (OpenGL)
  • Integration with Spectrascan PR650 for easy monitor calibration
  • Simple routines for staircase and constant stimuli experimental methods as well as curve-fitting and bootstrapping
  • Simple (or complex) GUIs via wxPython
  • Easy interfaces to joysticks, mice, sound cards etc. via PyGame
  • Video playback (MPG, DivX, AVI, QuickTime, etc.) as stimuli
The package is enhanced by the following packages: python-pyoptical
Please cite: Jonathan W.Peirce: PsychoPy—Psychophysics software in Python. Journal of Neuroscience Methods 162(1-2):8-13 (2007)
Screenshots of package psychopy
R-cran-foreign
他の統計システムのデータを読み書きするための GNU R パッケージ
Maintainer: Dirk Eddelbuettel
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本パッケージは、Minitab, S, SAS, SPSS, Stata, ... などの統計パッケージに よって保存されたデータを読み書きするための関数を提供します。

本パッケージは R Core が '推奨' するパッケージ一式の一部で、R 自体の 上流ソースリリースに収録されています。

R-cran-psy
GNU R procedures for psychometrics
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This package includes several procedures used in psychometrics and scaling, including:

  • Cohen's Kappa and weighted Kappa (two-rater agreement tests)
  • Cronbach's Alpha (an item-reliability test)
  • Focused Principal Components Analysis
  • Intraclass correlation coefficients
  • Light's Kappa (an N-rater agreement test)
  • Screeplots and graphical representations of principal components
Remark of Debian Med team: r-cran-psy is orphaned upstream.

Hint to users of statistical psychological software. This package seems to be orphaned upstream. There are several related packages at CRAN for instance. See the list of prospective packages below and drop the Debian Med team a note if you are interested in one of them.

R-cran-psych
GNU R procedures for psychological, psychometric, and personality research
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This GNU R package provides a general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research.

R-cran-psychometric
GNU R applied psychometric theory
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Contains GNU R functions useful for correlation theory, meta-analysis (validity-generalization), reliability, item analysis, inter-rater reliability, and classical utility.

R-cran-psychotree
GNU R recursive partitioning based on psychometric models
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Recursive partitioning based on psychometric models, employing the general MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch trees, rating scale and partial credit trees, and MPT trees.

R-cran-psyphy
functions for analyzing psychophysical data in GNU R
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An assortment of functions that could be useful in analyzing data from psychophysical experiments. It includes functions for calculating d' from several different experimental designs, links for m-alternative forced- choice (mafc) data to be used with the binomial family in glm (and possibly other contexts) and self-Start functions for estimating gamma values for CRT screen calibrations.

Official Debian packages with lower relevance

Python-pyepl
module for coding psychology experiments in Python
Maintainer: NeuroDebian Team
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PyEPL is a stimuli delivery and response registration toolkit to be used for generating psychology (as well as neuroscience, marketing research, and other) experiments.

It provides

  • presentation: both visual and auditory stimuli
  • responses registration: both manual (keyboard/joystick) and sound (microphone) time-stamped
  • sync-pulsing: synchronizing your behavioral task with external acquisition hardware
  • flexibility of encoding various experiments due to the use of Python as a description language
  • fast execution of critical points due to the calls to linked compiled libraries

This toolbox is here to be an alternative for a widely used commercial product E'(E-Prime)

This package provides PyEPL for supported versions of Python.

The package is enhanced by the following packages: python-pyoptical
Science-psychophysics
Debian Science packages for Psychophysics
Maintainer: Debian Science Team
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This metapackage will install Debian packages which might be useful for carrying out any experiment relating physical stimuli and their psychological effects.

The selection of packages is targeting software for stimuli delivery. For additional software related to the analysis of the acquired data refer to science-neuroscience-cognitive, med-imaging depending on the domain of application. Additionally look into science-bci since those often provide a complete loop frameworks including stimuli delivery.

*Popularitycontest results: number of people who use this package regularly (number of people who upgraded this package recently) out of 197076