Descriptor
Author
| DeMars, Christine E. | 1 |
| Gremmen, F. M. | 1 |
| Kong, Xiaojing | 1 |
| Muraki, Eiji | 1 |
| Reckase, Mark D. | 1 |
| Urry, Vern W. | 1 |
| Waller, Michael I. | 1 |
| Wise, Steven L. | 1 |
| van der Ven, A. H. G. S. | 1 |
Publication Type
| Reports - Evaluative | 3 |
| Reports - Research | 3 |
| Speeches/Meeting Papers | 3 |
| Journal Articles | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Download full textWaller, Michael I. – 1976
A method of estimating the parameters of the Rasch Model removing the effect of ramdom guessing is presented. The procedure is an application of the ARRG (Abilities Removing Random Guessing) model recently developed for two parameter latent trait models. Under the Rasch model ARRG provides for estimation of abilities, removing the effects of…
Descriptors: Ability, Guessing (Tests), Item Analysis, Mathematical Models
Wise, Steven L.; DeMars, Christine E.; Kong, Xiaojing – Online Submission, 2005
The validity of inferences based on achievement test scores is dependent on the amount of effort that examinees put forth while taking the test. With low-stakes tests, for which this problem is particularly prevalent, there is a consequent need for psychometric models that can take into account different levels of examinee effort. This article…
Descriptors: Item Response Theory, Mathematical Models, Measurement Techniques, Reaction Time
Peer reviewedvan der Ven, A. H. G. S.; Gremmen, F. M. – Applied Psychological Measurement, 1992
A statistical test of the knowledge or random guessing model is presented. A version of the model is introduced in which it is assumed that alternatives can be ordered according to a Guttman scale. Three examples illustrate its application to data from a total of 590 college students. (Author/SLD)
Descriptors: Achievement Tests, College Students, Equations (Mathematics), Guessing (Tests)
Muraki, Eiji – 1991
Multiple group factor analysis is described and illustrated through a simulation involving 5,000 examinees. The estimation process of the group factors were implemented using the TESTFACT program of Wilson and others (1987). Group factor analysis is described as a special case of confirmatory factor analysis. Group factors can be computed based on…
Descriptors: Data Analysis, Difficulty Level, Equations (Mathematics), Estimation (Mathematics)
Reckase, Mark D. – 1981
One of the major assumptions of latent trait theory is that the items in a test measure a single dimension. This report describes an investigation of procedures for forming a set of items that meet this assumption. Factor analysis, nonmetric multidimensional scaling, cluster analysis and latent trait analysis were applied to simulated and real…
Descriptors: Cluster Analysis, Difficulty Level, Factor Analysis, Guessing (Tests)
Urry, Vern W. – 1971
Bayesian estimation procedures are summarized and numerically illustrated by means of simulation methods. Procedures of data generation for simulation purposes are also delineated and computationally demonstrated. The logistic model basic to the Bayesian estimation procedures is shown to be explicit with respect to the probability distribution…
Descriptors: Achievement Tests, Adaptive Testing, Bayesian Statistics, Computer Programs
PDF pending restorationCivil Service Commission, Washington, DC. Personnel Research and Development Center. – 1976
This pamphlet reprints three papers and an invited discussion of them, read at a Division 5 Symposium at the 1975 American Psychological Association Convention. The first paper describes a Bayesian tailored testing process and shows how it demonstrates the importance of using test items with high discrimination, low guessing probability, and a…
Descriptors: Adaptive Testing, Bayesian Statistics, Computer Oriented Programs, Computer Programs
