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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
Echternacht, Gary – 1979
The role that measurement error plays in the regression effect is discussed with particular reference to the RMC models for evaluating the effects of Elementary Secondary Education Act Title I programs. The norm referenced evaluation model assumes a theory of growth where the relative ranking of students remains the same from pretest to posttest…
Descriptors: Achievement Gains, Comparative Analysis, Educational Assessment, Elementary Secondary Education
Faddis, Bonnie J.; And Others – 1979
Ninth grade Elementary Secondary Education Act (ESEA) Title I evaluation results in reading and English-writing projects were compared, using the RMC Model A with local empirical norms, Model A with national interpolated norms, and Model B. The Comprehensive Tests of Basic Skills (CTBS)--Total Reading and Total Language subtests--were administered…
Descriptors: Achievement Tests, Comparative Analysis, Compensatory Education, Control Groups