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Shermis, Mark D.; And Others – 1992
The reliability of four branching algorithms commonly used in computer adaptive testing (CAT) was examined. These algorithms were: (1) maximum likelihood (MLE); (2) Bayesian; (3) modal Bayesian; and (4) crossover. Sixty-eight undergraduate college students were randomly assigned to one of the four conditions using the HyperCard-based CAT program,…
Descriptors: Adaptive Testing, Algorithms, Bayesian Statistics, Comparative Analysis
Peer reviewedTsutakawa, Robert K.; Johnson, Jane C. – Psychometrika, 1990
The conventional method of measuring ability--based on items with assumed true parameter values obtained from a pretest--is compared to a Bayesian method that deals with the uncertainties of such items. Data from a 1987 American College Testing Program mathematics test indicate that maximum likelihood/Bayesian techniques underestimate uncertainty.…
Descriptors: Ability Identification, Bayesian Statistics, College Entrance Examinations, Comparative Analysis
McKinley, Robert L.; Reckase, Mark D. – 1981
A study was conducted to compare tailored testing procedures based on a Bayesian ability estimation technique and on a maximum likelihood ability estimation technique. The Bayesian tailored testing procedure selected items so as to minimize the posterior variance of the ability estimate distribution, while the maximum likelihood tailored testing…
Descriptors: Academic Ability, Adaptive Testing, Bayesian Statistics, Comparative Analysis
Peer reviewedWeng, Li-Jen; And Others – Educational Research Quarterly, 1988
Impacts of the parents' divorce and the student's academic potential and drug use on non-completion of high school were examined using 3 methods of structural equation modeling with latent variables. Data were collected from 706 adolescents (in grades 10 through 12). Maximum likelihood, asymptotically distribution-free, and categorical variable…
Descriptors: Academic Ability, Academic Failure, Adolescents, Comparative Analysis
Carter, Rufus Lynn – Research & Practice in Assessment, 2006
Many times in both educational and social science research it is impossible to collect data that is complete. When administering a survey, for example, people may answer some questions and not others. This missing data causes a problem for researchers using structural equation modeling (SEM) techniques for data analyses. Because SEM and…
Descriptors: Structural Equation Models, Error of Measurement, Data, Change Strategies
Lee, Sik-Yum; Xia, Ye-Mao – Psychometrika, 2006
By means of more than a dozen user friendly packages, structural equation models (SEMs) are widely used in behavioral, education, social, and psychological research. As the underlying theory and methods in these packages are vulnerable to outliers and distributions with longer-than-normal tails, a fundamental problem in the field is the…
Descriptors: Maximum Likelihood Statistics, Statistical Distributions, Structural Equation Models, Robustness (Statistics)
Tai, Robert H.; Liu, Christine Qi; Fan, Xiato – Journal of the National Association for Alternative Certification, 2006
In light of shortages of mathematics and science teachers, alternative certification was introduced in the mid-1980s. This study examined the effect of alternative certification among math and science teachers who moved to a different school or left the profession. This was accomplished using the national "SASS" and "TFS"…
Descriptors: Alternative Teacher Certification, Mathematics Teachers, Science Teachers, Teacher Shortage

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