Open AccessUSER'S GUIDE FOR SCORIGHT (VERSION 1.2): A COMPUTER PROGRAM FOR SCORING TESTS BUILT OF TESTLETS
Author(s) -
Wang Xiaohui,
Bradlow Eric T.,
Wainer Howard
Publication year - 2001
Publication title -
ets research report series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.235
H-Index - 5
ISSN - 2330-8516
DOI - 10.1002/j.2333-8504.2001.tb01848.x
Subject(s) - computer science , markov chain monte carlo , bayesian probability , computer program , monte carlo method , item response theory , markov chain , statistics , data mining , machine learning , artificial intelligence , mathematics , psychometrics , programming language
SCORIGHT is a very general computer program for scoring tests. It models tests that are made up of dichotomously or polytomously rated items, or any kind of combination of the two through the use of a generalized IRT formulation. The items can be presented independently, or grouped into clumps of allied items (testlets), or in any combination of the two. When there are testlets the program assesses the degree of local dependence and adjusts the estimates accordingly. The estimation is accomplished within a fully Bayesian framework using Markov chain Monte Carlo procedures. This methodology yields the complete posterior distributions of the parameters, which allows the easy calculation of many important characteristics of the scores that are not available with other methods.