Descriptor
Author
| Engelen, R. J. H. | 1 |
| Hambleton, Ronald K. | 1 |
| Junker, Brian W. | 1 |
| Lord, Frederic M. | 1 |
| Pigott, Therese D. | 1 |
| Pruzek, Robert | 1 |
| Rabinowitz, Stanley N. | 1 |
Publication Type
| Information Analyses | 6 |
| Journal Articles | 2 |
| Reports - Evaluative | 2 |
| Speeches/Meeting Papers | 2 |
| Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedPigott, Therese D. – Educational Research and Evaluation: An International Journal on Theory and Practice, 2001
Reviews methods for handling missing data in a research study. Model-based methods, such as maximum likelihood using the EM algorithm and multiple imputation, hold more promise than ad hoc methods. Although model-based methods require more specialized computer programs and assumptions about the nature of missing data, these methods are appropriate…
Descriptors: Computer Software, Mathematical Models, Maximum Likelihood Statistics, Research Methodology
Lord, Frederic M. – 1984
There are currently three main approaches to parameter estimation in item response theory (IRT): (1) joint maximum likelihood, exemplified by LOGIST, yielding maximum likelihood estimates; (2) marginal maximum likelihood, exemplified by BILOG, yielding maximum likelihood estimates of item parameters (ability parameters can be estimated…
Descriptors: Bayesian Statistics, Comparative Analysis, Estimation (Mathematics), Latent Trait Theory
Engelen, R. J. H. – 1987
A short review of the different estimation procedures that have been used in association with the Rasch model is provided. These procedures include joint, conditional, and marginal maximum likelihood methods; Bayesian methods; minimum chi-square methods; and paired comparison estimation. A comparison of the marginal maximum likelihood estimation…
Descriptors: Bayesian Statistics, Chi Square, Comparative Analysis, Estimation (Mathematics)
Junker, Brian W.; And Others – 1991
Some item response theory (IRT) techniques work in applications even though the usual structural IRT assumptions, and local independence (LI) in particular, do not hold. When the departure from LI is too great, traditional procedures will break down. Although violations of strictly unidimensional, monotone, locally independent latent structure can…
Descriptors: Ability, Equations (Mathematics), Estimation (Mathematics), Item Response Theory
Rabinowitz, Stanley N.; Pruzek, Robert – 1978
Despite advances in common factor analysis, a review of 89 studies published in four selected journals between 1963 and 1976 indicated that behavioral scientists preferred principal components analysis, followed by varimax or orthogonal rotation. Resultant row sums of squares of factor matrices from principal component analyses of real data sets…
Descriptors: Bayesian Statistics, Comparative Analysis, Educational Research, Factor Analysis
Peer reviewedAnd Others; Hambleton, Ronald K. – Review of Educational Research, 1978
Topics concerning latent trait theory are addressed: (1) dimensionality of latent space, local independence, and item characteristic curves; (2) models--equations, parameter estimation, testing assumptions, and goodness of fit, (3) applications test developments, item bias, tailored testing and equating; and (4) advantages over classical…
Descriptors: Ability, Bayesian Statistics, Goodness of Fit, Item Analysis


