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Hsu, Yaowen; Ackerman, Terry A.; Fan, Meichu – 1999
It has previously been shown that the Bock-Aitkin procedure (R. Bock and M. Aitkin, 1981) is an instance of the EM algorithm when trying to find the marginal maximum likelihood estimate for a discrete latent ability variable (latent trait). In this paper, it is shown that the Bock-Aitkin procedure is a numerical implementation of the EM algorithm…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Item Response Theory, Mathematical Models
Ackerman, Terry A.; Davey, Tim C. – 1991
An adaptive test can usually match or exceed the measurement precision of conventional tests several times its length. This increased efficiency is not without costs, however, as the models underlying adaptive testing make strong assumptions about examinees and items. Most troublesome is the assumption that item pools are unidimensional. Truly…
Descriptors: Ability, Adaptive Testing, Computer Assisted Testing, Equations (Mathematics)
Ackerman, Terry A. – 1991
This paper examines the effect of using unidimensional item response theory (IRT) item parameter estimates of multidimensional items to create weakly parallel test forms using target information curves. To date, all computer-based algorithms that have been devised to create parallel test forms assume that the items are unidimensional. This paper…
Descriptors: Algorithms, Equations (Mathematics), Estimation (Mathematics), Item Response Theory
Ackerman, Terry A.; Evans, John A. – 1993
A didactic example is provided, using a Monte Carlo method, of how differential item functioning (DIF) can be eliminated (and thus better understood) when the complete latent space is used. The main source of DIF is that the matching single criterion used in some DIF procedures, Mantel Haenszel or Simultaneous Item Bias (SIBTEST), does not account…
Descriptors: Computer Simulation, Equations (Mathematics), Item Bias, Item Response Theory
Ackerman, Terry A. – 1991
Many researchers have suggested that the main cause of item bias is the misspecification of the latent ability space. That is, items that measure multiple abilities are scored as though they are measuring a single ability. If two different groups of examinees have different underlying multidimensional ability distributions and the test items are…
Descriptors: Equations (Mathematics), Item Bias, Item Response Theory, Mathematical Models
Ackerman, Terry A. – 1992
The concept of a user-specified validity sector is discussed. The idea of the validity sector combines the work of M. D. Reckase (1986) and R. Shealy and W. Stout (1991). Reckase developed a methodology to represent an item in a multidimensional latent space as a vector. Item vectors are computed using multidimensional item response theory item…
Descriptors: Construct Validity, Equations (Mathematics), Estimation (Mathematics), Item Bias
Ackerman, Terry A.; Evans, John A. – 1992
The relationship between levels of reliability and the power of two bias and differential item functioning (DIF) detection methods is examined. Both methods, the Mantel-Haenszel (MH) procedure of P. W. Holland and D. T. Thayer (1988) and the Simultaneous Item Bias (SIB) procedure of R. Shealy and W. Stout (1991), use examinees' raw scores as a…
Descriptors: Comparative Analysis, Equations (Mathematics), Error of Measurement, Item Bias
Peer reviewed Peer reviewed
Ackerman, Terry A. – Journal of Educational Measurement, 1992
The difference between item bias and item impact and the way they relate to item validity are discussed from a multidimensional item response theory perspective. The Mantel-Haenszel procedure and the Simultaneous Item Bias strategy are used in a Monte Carlo study to illustrate detection of item bias. (SLD)
Descriptors: Causal Models, Computer Simulation, Construct Validity, Equations (Mathematics)