Extends the findings of a study of relationships of some educational inputs and reading performance of disadvantaged California Title I pupils, utilizing a highly simplified model of the compensatory education process. (JM)

The effects of using different data analysis methods on estimates of treatment effects of educational programs were investigated. Various regression models, such as those recommended for Title I program evaluations, were studied. The first effect studied was the amount of bias that might be expected to occur in the various settings. Results…

This study empirically tests the notion that consolidating smaller public school districts will save taxpayers money. Multiple regression analyses are employed to analyze the relationship between district size and per-pupil expenditures in the state of Michigan, focusing on the five most recent school years for which data are available. The…

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 results of a study which used the regression discontinuity model in the analysis of criterion-referenced test data are presented and inherent drawbacks in the use of the regression discontinuity model with this type of data are discussed. The discussion is based on the results of an analysis of data collected in the Mesa, Arizona School…

An integral part of Title I of the Elementary and Secondary Education Act programs has been the evaluation of these programs in terms of attainment of increments of gain in reading and mathematics. One of the most widely used methods of analyzing pre and post test norm referenced data has been the six-step historical regression procedure. This…

This report presents the findings and implications of some research on the relationships of some educational inputs and reading performance of disadvantaged California Title I pupils which utilized a highly simplified model of the compensatory education process. The data for the study were gathered by questionnaire administered in personal…

An evaluation system for use with Elementary and Secondary Education Act (ESEA) Title I programs has been developed by RMC Research Corporation of Mountain View, California under contract with USOE. The system presently addresses cognitive achievement impact using three statistical designs, each of which may be implemented using either norm…