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Thissen, David; Wainer, Howard – 1983
A statistical method is described and illustrated which provides confidence envelopes around item response functions. Examples of 95 percent confidence envelopes for the one-, two-, and three-parameter logistic response models are given. In addition, the authors describe N-line plots, which show the genesis of the envelope as well as the density…
Descriptors: Graphs, Latent Trait Theory, Mathematical Formulas, Mathematical Models
Nitko, Anthony J. – 1982
An approximation formula for the standard error of measurement was recently proposed by Garvin. The properties of this approximation to the standard error of measurement are described in this paper and illustrated with hypothetical data. It is concluded that the approximation is a systematic overestimate of the standard error of measurement…
Descriptors: Error of Measurement, Estimation (Mathematics), Mathematical Formulas, Statistical Analysis
Rigdon, Steven E.; Tsutakawa, Robert K. – 1981
Estimation of ability and item parameters in latent trait models is discussed. When both ability and item parameters are considered fixed but unknown, the method of maximum likelihood for the logistic or probit models is well known. Discussed are techniques for estimating ability and item parameters when the ability parameters or item parameters…
Descriptors: Algorithms, Latent Trait Theory, Mathematical Formulas, Mathematical Models
Lord, Robert E.; And Others – 1981
The purpose of this study was to evaluate the parallel processing impact of multiple-instruction multiple-data path (MIMD) computers on flight simulation software. Basic mathematical functions and arithmetic expressions from typical flight simulation software were selected and run on an MIMD computer to evaluate the improvement in execution time…
Descriptors: Computer Programs, Computers, Flight Training, Mathematical Formulas
Peer reviewed Peer reviewed
Venit, Stewart M. – Mathematics Teacher, 1978
Comparisons are made between the errors obtained when approximating the integral with the midpoint rule, the trapezoidal rule, and Simpson's rule. (MP)
Descriptors: Algorithms, Calculus, Instruction, Mathematical Formulas
Peer reviewed Peer reviewed
Fowler, Robert L. – Educational and Psychological Measurement, 1984
This study compared two approximations for normalizing noncentral F distributions: one based on the square root of the chi-square distribution (SRA), the other derived from a cube root of the chi-square distribution (CRA). The CRA was superior, and generally provided an excellent approximation for noncentral F. (Author/BW)
Descriptors: Estimation (Mathematics), Hypothesis Testing, Mathematical Formulas, Probability
Peer reviewed Peer reviewed
Kulm, Gerald – Mathematics Teacher, 1974
Descriptors: Geometric Concepts, Mathematical Formulas, Ratios (Mathematics), Relationship
Coscia, Donald R. – MATYC Journal, 1974
Descriptors: Calculus, College Mathematics, Geometric Concepts, Instruction
Peer reviewed Peer reviewed
Dodd, W. A. – Mathematics in School, 1972
Descriptors: Algebra, Mathematical Formulas, Mathematics, Mathematics Education
Shiu, P. – Mathematical Gazette, 1971
Descriptors: Algebra, Mathematical Concepts, Mathematical Formulas, Mathematics
Peer reviewed Peer reviewed
Haase, Richard F. – Educational and Psychological Measurement, 1983
This paper reviews the distinctions between classical and partial eta square and derives a formula for use in those complex analysis of variance designs in which the investigator desires a measure of classical eta square and has access only to the F-tests and relevant degrees of freedom. (Author/BW)
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Formulas, Research Design
Peer reviewed Peer reviewed
Oosterhof, Albert C. – Journal of Educational Measurement, 1976
The purpose of this study was to investigate the degree to which various selected test item discrimination indices reflect a common factor. The indices used include the point-biserial, biserial, phi and tetrachoric coefficients, Flanagan's approximation of the product-moment correlation, Gulliksen's item reliability index, and Findley's difference…
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Mathematical Formulas
Peer reviewed Peer reviewed
Yu, Mimi C.; Dunn, Olive Jean – Educational and Psychological Measurement, 1982
Eight asymptotically robust tests of population correlation coefficient equality are proposed and are studied along with two parametric tests. Monte Carlo simulation is used to compare the small sample performance of these ten procedures. The sampled distributions consist of the normal distribution, two mixed normal distributions and four…
Descriptors: Correlation, Mathematical Formulas, Statistical Distributions, Statistical Significance
Peer reviewed Peer reviewed
Johnstone, James N. – Educational Evaluation and Policy Analysis, 1981
The annual Gallup "Attitudes to Education" Poll provides a good example of a situation in which a composite education system indicator can be developed. The Laspeyres formula is recommended for this purpose, as well as for analyzing and reporting a number of educational research results in general. (RL)
Descriptors: Attitude Measures, Educational Attitudes, Elementary Secondary Education, Mathematical Formulas
Peer reviewed Peer reviewed
Callender, John C.; Osburn, H. G. – Journal of Educational Measurement, 1979
Some procedures for estimating internal consistency reliability may be superior mathematically to the more commonly used methods such as Coefficient Alpha. One problem is computational difficulty; the other is the possibility of overestimation due to capitalization on chance. (Author/CTM)
Descriptors: Higher Education, Mathematical Formulas, Research Problems, Sampling
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