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…

This is the final report of a Kansas state project which had four purposes: (1) Involvement of teacher training institutions with the unified school districts' career education program in order to gather information needed to provide realistic experiences for inservice education of future career education teachers, (2) involve the community in…