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Yap, Kim Onn; And Others – 1979
The effects of using different data analysis methods on estimates of treatment effects of educational programs were investigated. Various regression models, such as those recommended for Title I program evaluations, were studied. The first effect studied was the amount of bias that might be expected to occur in the various settings. Results…
Descriptors: Bias, Compensatory Education, Evaluation Methods, Mathematical Models
Mandeville, Garrett K. – 1978
The RMC Research Corporation evaluation model C1--the special regression model (SRM)--was evaluated through a series of computer simulations and compared with an alternative model, the norm referenced model (NRM). Using local data and national norm data to determine reasonable values for sample size and pretest posttest correlation parameters, the…
Descriptors: Analysis of Covariance, Error of Measurement, Intermediate Grades, Mathematical Models
Estes, Gary D.; Anderson, Judith I. – 1978
An empirical study was conducted in order to obtain treatment effect estimates with the Special Regression model for groups in which there was no treatment. General mathematics test scores were obtained from 730 ninth graders in city schools somewhat similar to Title I schools, but in which no special treatments were given. Hypothetical…
Descriptors: Achievement Gains, Arithmetic, Compensatory Education, Control Groups
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
Murray, Stephen L. – 1978
The norm-referenced evaluation model (RMC Model A) for Title I project evaluation, consists of procedures whereby the expected posttest standing of a treatment group under the null condition is generated from their pretest standing. It is assumed that the treatment group is not selected on the basis of their pretest scores and can be considered…
Descriptors: Achievement Gains, Educational Assessment, Elementary Secondary Education, Evaluation Methods
Echternacht, Gary; Swinton, Spencer – 1979
Title I evaluations using the RMC Model C design depend for their interpretation on the assumption that the regression of posttest on pretest is linear across the cut score level when there is no treatment; but there are many instances where nonlinearities may occur. If one applies the analysis of covariance, or model C analysis, large errors may…
Descriptors: Achievement Gains, Analysis of Covariance, Educational Assessment, Elementary Secondary Education
House, Gary D. – 1979
The equivalency of achievement results obtained under Title I evaluation models A1 and C1 was examined. Data were reading comprehension and arithmetic scores on the Iowa Tests of Basic Skills, administered to fourth, sixth, and eighth grade students in St. Louis, Missouri. The St. Louis Public Schools had traditionally used Model A1, a…
Descriptors: Academic Achievement, Achievement Gains, Age Differences, Arithmetic
Linn, Robert L. – 1978
The three RMC models endorsed by the U.S. Office of Education for the evaluation of Elementary and Secondary Education Act Title I programs are based on narrowly conceived approaches to evaluation--the measurement of cognitive achievement gains. Each model requires the comparison of observed student performance with an estimate of what level of…
Descriptors: Academic Achievement, Achievement Gains, Compensatory Education, Control Groups