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Dorozhkin, Evgenij M.; Chelyshkova, Marina B.; Malygin, Alexey A.; Toymentseva, Irina A.; Anopchenko, Tatiana Y. – International Journal of Environmental and Science Education, 2016
The relevance of the investigated problem is determined by the need to improving the evaluation procedures in education and the student assessment in the age of the context of education widening, new modes of study developing (such as blending learning, e-learning, massive open online courses), immediate feedback necessity, reliable and valid…
Descriptors: Student Evaluation, Evaluation Methods, Item Response Theory, Mathematical Models
Osler, James Edward; Mansaray, Mahmud A. – Journal of Educational Technology, 2013
The online deployment of Technology Engineered online Student Ratings of Instruction (SRIs) by colleges and universities in the United States has dynamically changed the deployment of course evaluation. This research investigation is the fourth part of a post hoc study that analytically and psychometrically examines the design, reliability, and…
Descriptors: Course Evaluation, Educational Technology, Black Colleges, Higher Education
Plake, Barbara Sterrett; And Others – 1980
The difficulties in comparing profile variability (a measure of test scatter) are briefly discussed and the limitations of current techniques pointed out. Test scatter is defined as individual variation in test scores between or within various psychological and educational tests. Currently, no statistical technique for the comparison of profile…
Descriptors: Educational Diagnosis, Educational Testing, Individual Testing, Mathematical Models
Sympson, James B. – 1976
Latent trait test score theory is discussed primarily in terms of Birnbaum's three-parameter logistic model, and with some reference to the Rasch model. Equations and graphic illustrations are given for item characteristic curves and item information curves. An example is given for a hypothetical 20-item adaptive test, showing cumulative results…
Descriptors: Adaptive Testing, Bayesian Statistics, Item Analysis, Latent Trait Theory
Wilcox, Rand R. – 1979
Three separate papers are included in this report. The first describes a two-stage procedure for choosing from among several instructional programs the one which maximizes the probability of passing the test. The second gives the exact sample sizes required to determine whether a squared multiple correlation coefficient is above or below a known…
Descriptors: Bayesian Statistics, Correlation, Hypothesis Testing, Mathematical Models
Urry, Vern W. – 1983
In this report, selection theory is used as a theoretical framework from which mathematical algorithms for tailored testing are derived. The process of tailored, or adaptive, testing is presented as analogous to personnel selection and rejection on a series of continuous variables that are related to ability. Proceeding from a single common-factor…
Descriptors: Adaptive Testing, Algorithms, Computer Assisted Testing, Latent Trait Theory
Reckase, Mark D. – 1977
Latent trait model calibration procedures were used on data obtained from a group testing program. The one-parameter model of Wright and Panchapakesan and the three-parameter logistic model of Wingersky, Wood, and Lord were selected for comparison. These models and their corresponding estimation procedures were compared, using actual and simulated…
Descriptors: Achievement Tests, Adaptive Testing, Aptitude Tests, Comparative Analysis
Lord, Frederic M.; Stocking, Martha – 1972
A general Computer program is described that will compute asymptotic standard errors and carry out significance tests for an endless variety of (standard and) nonstandard large-sample statistical problems, without requiring the statistician to derive asymptotic standard error formulas. The program assumes that the observations have a multinormal…
Descriptors: Bulletins, Computer Programs, Data Processing, Error of Measurement
Peer reviewedBurstein, Leigh – Sociological Methods and Research, 1978
Four techniques for assessing differences between least-squares estimators of regression coefficients from group and individual-level data are summarized. The utility and suitability of all four approaches are discussed when (1) data are grouped by a nominal characteristic; (2) there are multiple regressors; or (3) individual-level data cannot be…
Descriptors: Classification, Group Testing, Groups, Higher Education
Weiss, David J., Ed. – 1985
This report contains the Proceedings of the 1982 Item Response Theory and Computerized Adaptive Testing Conference. The papers and their discussions are organized into eight sessions: (1) "Developments in Latent Trait Theory," with papers by Fumiko Samejima and Michael V. Levine; (2) "Parameter Estimation," with papers by…
Descriptors: Achievement Tests, Adaptive Testing, Branching, Computer Assisted Testing
Cliff, Norman; And Others – 1977
TAILOR is a computer program that uses the implied orders concept as the basis for computerized adaptive testing. The basic characteristics of TAILOR, which does not involve pretesting, are reviewed here and two studies of it are reported. One is a Monte Carlo simulation based on the four-parameter Birnbaum model and the other uses a matrix of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Programs, Difficulty Level
Kristof, Walter – 1971
We concern ourselves with the hypothesis that two variables have a perfect disattenuated correlation, hence measure the same trait except for errors of measurement. This hypothesis is equivalent to saying, within the adopted model, that true scores of two psychological tests satisfy a linear relation. Statistical tests of this hypothesis are…
Descriptors: Analysis of Covariance, Comparative Analysis, Correlation, Error of Measurement
SAW, J.G. – 1964
THIS VOLUME DEALS WITH THE BIVARIATE NORMAL DISTRIBUTION. THE AUTHOR MAKES A DISTINCTION BETWEEN DISTRIBUTION AND DENSITY FROM WHICH HE DEVELOPS THE CONSEQUENCES OF THIS DISTINCTION FOR HYPOTHESIS TESTING. OTHER ENTRIES IN THIS SERIES ARE ED 003 044 AND ED 003 045. (JK)
Descriptors: Hypothesis Testing, Mathematical Models, Mathematics, Statistical Analysis
Moore, William E. – 1970
The previous theoretical development of the Poisson process as a strong model for the true-score theory of mental tests is discussed, and additional theoretical properties of the model from the standpoint of individual examinees are developed. The paper introduces the Erlang process as a family of test theory models and shows in the context of…
Descriptors: Arithmetic, Goodness of Fit, Grade 10, Mathematical Models
Tinsley, Howard E. A.; Dawis, Rene V. – 1972
This research investigated the use of the Rasch simple logistic model in obtaining test-free ability estimates. Tests employing word, picture, symbol and number analogies were administered to college and high school students. The results show that the Rasch model does not offer an improvement over the use of percentile ranks in estimating…
Descriptors: Ability Identification, College Students, Educational Research, High School Students


