Advanced & Applied Topics · Item Response Theory (IRT)

Item response theory: Model fit and diagnostics — Advanced psychometrics

Public introduction · full guide in Eikos

Introduction

What this guide covers

Deep stochastic modeling, limited information inference, Rasch conditional residuals, pattern likelihood, and differential item functioning theory.

Overview

Topics covered

  • Introduction
  • Model Adjustment and Diagnosis in Item Response Theory (IRT)
  • Foundations of Fit in Item Response Theory
  • Global Model Fitting and Limited Information Inference
  • Limited Information Adjustment Statistics: The Statistic
  • Comparative Basis Information Criteria

Related concepts

Main connections

  • Maximum likelihood estimation
  • Variance & standard deviation
  • Calculus & differentiation
  • Conditional probability & independence
  • Linear algebra & matrices
  • Residual analysis & diagnostics

Compatible notation

Mathematical sample in LaTeX

The expression is rendered accessibly, with its LaTeX source preserved below.

Pj(θi)≡P(Xij=1∣θi,𝛏j)
View LaTeX sourceP_j(\theta_i) \equiv P(X_{ij} = 1 \mid \theta_i, \boldsymbol{\xi}_j)