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Olejnik, Stephen – 1978
The measurement of change in quasi-experimental educational research was discussed. Problems related to measuring change exist to varying degrees in all research designs; these issues are less troublesome in experimental studies because the investigator can manipulate the interest variables and observe their effects on other variables. Measuring…
Descriptors: Achievement Gains, Comparative Analysis, Educational Research, Educational Testing
Hick, Thomas L.; Irvine, David J. – 1978
To eliminate maturation as a factor in the pretest-posttest design, pretest scores can be converted to anticipate posttest scores using grade equivalent scores from standardized tests. This conversion, known as historical regression, assumes that without specific intervention, growth will continue at the rate (grade equivalents per year of…
Descriptors: Academic Achievement, Achievement Gains, Elementary Education, Grade Equivalent Scores
Marston, Paul T., Borich, Gary D. – 1977
The four main approaches to measuring treatment effects in schools; raw gain, residual gain, covariance, and true scores; were compared. A simulation study showed true score analysis produced a large number of Type-I errors. When corrected for this error, this method showed the least power of the four. This outcome was clearly the result of the…
Descriptors: Achievement Gains, Analysis of Covariance, Comparative Analysis, Error of Measurement
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
Williams, John D.; And Others – 1972
Two methods of reading instruction (homogeneous grouping and graded classes) are compared for 165 students in 8 rural North Dakota schools by raw gain scores, residual gain scores, and the analysis of covariance. (CK)
Descriptors: Analysis of Covariance, Classes (Groups of Students), Comparative Analysis, Correlation