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Miyazaki, Yasuo; Kamata, Akihito; Uekawa, Kazuaki; Sun, Yizhi – Educational and Psychological Measurement, 2022
This paper investigated consequences of measurement error in the pretest on the estimate of the treatment effect in a pretest-posttest design with the analysis of covariance (ANCOVA) model, focusing on both the direction and magnitude of its bias. Some prior studies have examined the magnitude of the bias due to measurement error and suggested…
Descriptors: Error of Measurement, Pretesting, Pretests Posttests, Statistical Bias
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Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2008
Pretest-posttest experimental designs are often used in randomized control trials (RCTs) in the education field to improve the precision of the estimated treatment effects. For logistic reasons, however, pretest data are often collected after random assignment, so that including them in the analysis could bias the posttest impact estimates. Thus,…
Descriptors: Pretests Posttests, Pretesting, Scores, Intervention
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Richards, James M., Jr. – Journal of Educational Psychology, 1976
Growth is estimated most accurately by procedures involving the pretest-posttest difference, and for practical purposes all estimates involving this difference have approximately equal accuracy. In particular, the simple difference between pretest and posttest scores seems about as accurate as any other estimate, easier to compute, and meaningful…
Descriptors: Achievement Gains, Comparative Analysis, Computer Programs, Correlation
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Rubenstein, Ralph; And Others – Journal of Medical Education, 1979
An approach to teaching the mental status examination to sophomore medical students at the Wayne State University School of Medicine incorporates live simulations, a detailed handout, a pretest and post-test, and a short lecture and discussion. The data suggest significant post-test gains, but there were negative findings regarding the handout.…
Descriptors: Emotional Disturbances, Higher Education, Medical Education, Mental Disorders
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
Richards, James M., Jr. – 1974
Recent research results strongly suggest that the theoretical problems of change measures have limited practical significance for measuring individual growth, and it is important to determine whether this is also the case for measuring school impact. Accordingly, in this study artifical data were used to assess the correlation between several…
Descriptors: Achievement Gains, Computer Programs, Educational Change, Educational Programs
Richards, James M., Jr. – 1974
A computer simulation procedure was developed to reproduce the overall pattern of results obtained in the Educational Testing Service Growth Study. Then simulated data for seven sets of 10,000 to 15,000 cases were analyzed, and findings compared on the basis of correlations between estimated and true growth scores. Findings showed that growth was…
Descriptors: Computers, Educational Assessment, Educational Research, Educational Testing
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