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Muthen, Bengt; Joreskog, Karl G. – Evaluation Review, 1983
Selectivity problems are discussed in terms of a general model that is estimated by the maximum likelihood method. Both single-group and multiple-group analyses are considered. An extension of the general model to latent variable models is discussed. (Author/PN)
Descriptors: Mathematical Models, Maximum Likelihood Statistics, Quasiexperimental Design, Research Methodology
Samejima, Fumiko – 1982
In a preceding research report, ONR/RR-82-1 (Information Loss Caused by Noise in Models for Dichotomous Items), observations were made on the effect of noise accommodated in different types of models on the dichotomous response level. In the present paper, focus is put upon the three-parameter logistic model, which is widely used among…
Descriptors: Estimation (Mathematics), Goodness of Fit, Guessing (Tests), Mathematical Models
Samejima, Fumiko – 1982
Because of the recent popularity of the three-parameter logistic model among the researchers who apply latent trait theory, it will be worthwhile to investigate the effect of noise accommodated in different models. In the present paper, four types of models on the dichotomous response level, Types A, B, C and D, are considered. Type A does not…
Descriptors: Adaptive Testing, Goodness of Fit, Latent Trait Theory, Mathematical Models
Scheuneman, Janice Dowd – 1990
The current status of item response theory (IRT) is discussed. Several IRT methods exist for assessing whether an item is biased. Focus is on methods proposed by L. M. Rudner (1975), F. M. Lord (1977), D. Thissen et al. (1988) and R. L. Linn and D. Harnisch (1981). Rudner suggested a measure of the area lying between the two item characteristic…
Descriptors: Chi Square, Error of Measurement, Estimation (Mathematics), Goodness of Fit
Gustafsson, Jan-Eric – 1979
Problems and procedures in assessing and obtaining fit of data to the Rasch model are treated and assumptions embodied in the Rasch model are made explicit. It is concluded that statistical tests are needed which are sensitive to deviations so that more than one item parameter would be needed for each item, and more than one person parameter would…
Descriptors: Ability, Difficulty Level, Goodness of Fit, Item Analysis
Peer reviewed Peer reviewed
Dwyer, James H. – Evaluation Review, 1984
A solution to the problem of specification error due to excluded variables in statistical models of treatment effects in nonrandomized (nonequivalent) control group designs is presented. It involves longitudinal observation with at least two pretests. A maximum likelihood estimation program such as LISREL may provide reasonable estimates of…
Descriptors: Control Groups, Mathematical Models, Maximum Likelihood Statistics, Monte Carlo Methods
Wolfle, Lee M.; Ethington, Corinna A. – 1984
To correct for the effects of measurement error on structural parameter estimates, many researchers are now estimating models of educational achievement with LISREL. In order to estimate such models it is desirable to obtain multiple manifest measures of the latent constructs. Many researchers restrict their models to two manifest measures per…
Descriptors: Academic Achievement, Error of Measurement, Estimation (Mathematics), Goodness of Fit