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Johnson, W. B.; And Others – Journal of the Air Pollution Control Association, 1973
A relatively simple Gaussian-type diffusion simulation model for calculating urban carbon (CO) concentrations as a function of local meteorology and the distribution of traffic is described. The model can be used in two ways: in the synoptic mode and in the climatological mode. (Author/BL)
Descriptors: Climate, Evaluation Methods, Meteorology, Models
Chesler, David J. – 1972
The final report summarizes accomplishments and implications of the project for the development and implementation of Navy training devices that utilize computer-based simulation. The emphasis is on Navy anti-air warfare in the shore-based training environment, but the results are applicable to other training environments. The report also…
Descriptors: Armed Forces, Computer Programs, Evaluation Methods, Mathematical Models
Zimmerlin, Timothy A.; And Others – 1979
An effort to construct a model of the thermal properties of materials based on theoretical thermo-electromagnetic models, to construct a data base of the dense cultural hospital scene according to Defense Mapping Agency Aerospace Center (DMAAC) specifications, and to design and implement a program to evaluate the tonal model and generate imagery…
Descriptors: Communications, Computer Graphics, Computer Oriented Programs, Data Processing
Yap, Kim Onn – 1979
The accuracy with which regression models estimate treatment effects is dependent upon a number of conditions. The stability of the regression line (a function of sample size and correlation between pretest and posttest) is said to be the most important of these conditions. The utility of regression models is proportional to the size of the…
Descriptors: Correlation, Data Analysis, Educational Testing, Evaluation Methods
Merz, William R.; Grossen, Neal E. – 1978
Six approaches to assessing test item bias were examined: transformed item difficulty, point biserial correlations, chi-square, factor analysis, one parameter item characteristic curve, and three parameter item characteristic curve. Data sets for analysis were generated by a Monte Carlo technique based on the three parameter model; thus, four…
Descriptors: Difficulty Level, Evaluation Methods, Factor Analysis, Item Analysis
Raffeld, Paul; And Others – 1979
The RMC Model A (norm-referenced) for evaluation of Title I programs is based upon the equipercentile assumption--that students maintain their percentile rank over a one-year period, provided that no special instrucional intervention is introduced. The control group, essentially the sample used to standardize the achievement test, represents the…
Descriptors: Achievement Gains, Critical Path Method, Elementary Education, Error of Measurement