This study establishes tri-axial activity count (AC) cut-points for the GT3X+ accelerometer to classify physical activity intensity in overweight and obese adults. Further, we examined the accuracy of established and novel energy expenditure (EE) prediction equations based on AC and other metrics. "Part 1": Twenty overweight or obese…

This study investigates whether adequate yearly progress (AYP) status, locale, and sector--common variables used to judge the quality of schools--accurately signal true differences in instructional practices in high school mathematics and science. Using data from the High School Longitudinal Study (HSLS), we find the school-to-school variation in…

Although college-aged women are at high risk for human papillomavirus (HPV) infection, many college women remain unvaccinated against HPV. Testing health behavior theory can assist sexuality educators in identifying behavioral antecedents to promote behavior change within an intervention. The purpose of this pilot study was to utilize social…

The current study was completed through a retrospective analysis of school records of elementary school students in the Northeast Region of the Philadelphia School District (PSD) who have participated in the Fast ForWord (FFW) Language program. The data requested from student records included: demographic information (e.g., gender, grade, age,…

Leadership is critically important because it affects the health of the organization. Research has found that leadership is one of the most significant contributors to organizational performance. Expanding and replicating previous research, and focusing on the specific telecommunications sector, this study used multiple correlation and regression…

A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)

Four commonly employed procedures were repeatedly applied to computer-simulated samples to provide comparative data pertaining to two questions: (a) which procedure can be expected to produce and equation that yields the most accurate predictions for the population, and (b) which procedure is most likely to identify the optimal set of independent…

Actual data sets were used to illustrate how substantially different conclusions and implications can be drawn from alternate multiple regressions predicting academic achievement from the same set of variables measuring student background. Variables assessing students' socioeconomic status and geographic mobility, used to predict reading and math…

This overview of both quantitative and qualitative methods of educational forecasting is introduced by a discussion of a general typology of forecasting methods. In each of the following sections, discussion follows the same general format: a number of basic approaches are identified (e.g. extrapolation, correlation, systems modelling), and each…

Several advantages to the use of factor scores as independent variables in a multiple regression equation were found. To help select the most desirable type of factor score on which to calculate a regression equation, computer-based Monte Carlo methods were used to compare the predictive accuracy upon replication of regression of five…

The statistical and institutional influences on the prediction of first-year college grades were examined using data from College Board validity studies and the College Handbook. The criterion was the size of the multiple correlation between academic predictors and first-year college grades. (Author/MLW)

Twenty-nine community characteristics were studied to determine which were statistically most useful as predictors of per-pupil Federal aid to the 169 school districts of Connecticut. Three regression models were developed using community traits as predictors of Federal aid allocations. Cross-validation of regression models to predict future…

The number of regression studies being employed in sex discrimination cases is increasing. The need for caution in the case of multiple regression must be emphasized. Statistical concerns in sex discrimination cases are highlighted. (MLW)

An investigation was undertaken of the intercorrelations among residuals obtained by applying regression techniques under two conditions: (1) mean sixth-grade Metropolitan Achievement Test reading scores predicted by mean second-grade Stanford Achievement Test reading scores, and (2) mean sixth-grade reading scores predicted by mean second-grade…