ACT research report series: A comparison study of the unidimensional IRT estimation of compensatory and noncompensatory multidimensional item response data

1987 ◽  
Author(s):  
Terry A. Ackerman
Keyword(s):  
Item Response ◽  
Research Report ◽  
Comparison Study ◽  
Multidimensional Item Response ◽  
Response Data ◽  
Irt Estimation

Robustness of Irt Parameter Estimation to Violations of The Unidimensionality Assumption

1986 ◽  
Vol 11 (2) ◽  
pp. 91-115 ◽  
Author(s):  
David A. Harrison
Keyword(s):  
Item Response ◽  
Computerized Adaptive Testing ◽  
Factor Model ◽  
Common Factors ◽  
General Factor ◽  
Multidimensional Item Response ◽  
Experimental Conditions ◽  
Response Data ◽  
Item Parameters ◽  
Item Response Theory Models

Multidimensional item response data were created from a hierarchical factor model under a variety of conditions. The strength of a second-order general factor, the number of first-order common factors, the distribution of items loading on those common factors, and the number of items in simulated tests were systematically manipulated. The computer program LOGIST effectively recovered both item parameters and trait parameters implied by the general factor in nearly all of the experimental conditions. Implications of these findings for computerized adaptive testing, investigations of item bias, and other applications of item response theory models are discussed.

Sign in / Sign up

Export Citation Format

Share Document