Separate selection and pretesting of students eliminate regression effects in the pre-post achievement gain measured in the RMC Model--A method of program evaluation. (CP)

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…

The development of a single value revision indicator which would utilize learner performance data obtained from a pretest-posttest design to rank a set of instructional modules as to their relative need for revision is discussed. A set of procedures was developed in connection with the implementation of the Production, Implementation, Evaluation,…