psychometrics

The Abstraction and Reasoning Corpus

an R package for structural equation modeling and more

psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

A python library of IRT algorithm

A Java library for classical test theory, item response theory, factor analysis, and other measurement techniques. It provide tools commonly used in psychometrics and operational testing programs.

An R package for Bayesian structural equation modeling

Edudata: Datasets in Education and convenient interface for downloading and preprocessing dataset in education

Psychometric meta-analysis toolkit

Edudata: Datasets in Education and convenient interface for downloading and preprocessing dataset in education

Test and Item Analysis via Shiny

GDINA

An Item Response Theory Package for Python

🧠 Statistical Methods Applied to Psychology Projects

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) and Item Response Ranking framework (IRR).

Recursive partitioning (tree models) of psychometric networks

IR-Tree Modeling in mirt, Mplus, or TAM

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

A fast, adaptive approach to estimating contrast sensitivity function parameters

Kot is a basic toolkit for getting started with computerised adaptive testing (CAT) in Ruby.

Psychometric curve fitting functions

Data, Code and Figures of our manuscript "Mapping the emotional face. How individual face parts contribute to successful emotion recognition."

Apache developers Big-Five personality profiler

Bringing Multinomial Processing Tree Models To Item Response Theory To Investigate Response Styles

A list of what was read and discussed, over the years, for the Evolution And Behavior reading group.

Joint Maximum Likelihood Estimation for High-Dimensional Item Factor Analysis

DIF and DDF Detection by Non-Linear Regression Models.

R package for fitting hidden Markov cognitive diagnosis models for learning.

Mixture of Cognitive Diagnosis Models

R package for penalized factor analysis via trust-region algorithm and automatic multiple tuning parameter selection

Automated Test Assembly with Julia