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…

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…

Twelve common errors which can invalidate an otherwise sound evaluation are identified, and ways to avoid them are presented. The hazards are: (1) grade-equivalent scores; (2) inappropriate statistical adjustments with nonequivalent control groups; (3) administering norm-referenced tests at inappropriate times of the school year; (4) inappropriate…

An evaluation of the first year of "The Electric Company" is provided. Volume 1 is comprised of the following chapters: I. Introduction; II. Preparing for the Evaluation (Research Design and Sampling Procedures; Field Operations; The Treatment--the in-school viewing treatment, the at-home viewing treatment, and the content of The…