Open AccessMODEL ANALYSIS AND MODEL CREATION: CAPTURING THE TASK‐MODEL STRUCTURE OF QUANTITATIVE ITEM DOMAINS
Author(s) -
Deane Paul,
Graf Edith Aurora,
Higgins Derrick,
Futagi Yoko,
Lawless René
Publication year - 2006
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.2333-8504.2006.tb02017.x
Subject(s) - structural equation modeling , task (project management) , relevance (law) , computer science , range (aeronautics) , identification (biology) , linear model , software , item response theory , test (biology) , machine learning , mathematics , statistics , psychometrics , programming language , engineering , botany , law , political science , biology , paleontology , systems engineering , aerospace engineering
This study focuses on the relationship between item modeling and evidence‐centered design (ECD); it considers how an appropriately generalized item modeling software tool can support systematic identification and exploitation of task‐model variables, and then examines the feasibility of this goal, using linear‐equation items as a test case. The first half of the study examines task‐model structures for linear equations and their relevance to item difficulty within ECD. The second half of the study presents prototype software, a Model Creator system for pure math items, designed to partially automate the creation of variant item models reflecting different combinations of task‐model variables. The prototype is applied to linear equations but is designed to generalize over a range of pure mathematical content types.