This study evaluated variables associated with academic preparation and student demographics as predictors of academic achievement through participation in supplemental instruction (SI) programs for community college students in Science, Technology, Engineering, and Math (STEM) fields. The findings suggest a differential impact of SI outcome for…

Patient health literacy skills are critical to effective healthcare communication and safe care delivery in primary care settings. Methods and strategies to identify patient health literacy (HL) capabilities and provider/staff knowledge, attitudes and beliefs (KAB) regarding HL must be known before addressing provider/staff communication skills.…

Presents a theoretical model which helps identify significant predictors of employability of vocational graduates. Discusses the decision to hire, multiple linear regression methods, reasons for poor predictability, and interpretation of the results. (CT)

To the data analyst, outliers can present both a problem and an opportunity. Stray or outlying observations can severly distort estimates of a distribution's central tendency (like the mean) and estimates of one variable's relationship to another (like the regression coefficient). These problems are frequent and serious, and as a result,…

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…

Path analysis, a technique related to multiple regression analysis is used for ascribing causal relationships among variables. Path analysis involves the construction of explicitly formulated causal models and makes the reasoning explicit in the form of path diagrams and structural equations. Regression analysis is then used to construct path…

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 National Diffusion Network provides a model for the adoption of outstanding educational programs. This second volume of the Final Report on the Evaluation of the National Diffusion Network consists of a series of technical supplements to Volume I, which contains the findings and recommendations. These technical supplements provide details of…