Introduction (PDF & R-Code) Satisfying the assumption of linearity in an Ordinary Least Squares (OLS) regression model is vital to the development of unbiased slope coefficients, standardized coefficients, standard errors, and the model R2. Simply put, if a non-linear relationship exists, the estimates produced from specifying a linear association between two variables will be biased.Continue reading “Entry 1: The Linearity Assumption”
Category Archives: Uncategorized
A failure to maintain regulated exposure: Developing an understanding of the predictors and recidivistic effects of experiencing program interruptions
Abstract: At the forefront of correctional scholarship is the reestablishment of the rehabilitative ideal and the ways in which correctional departments can influence recidivism. Of importance is the interruption of rehabilitative treatment due to highly frequent movement of inmates between correctional facilities. To address this concern, the current study evaluated the predictors and recidivistic effectsContinue reading “A failure to maintain regulated exposure: Developing an understanding of the predictors and recidivistic effects of experiencing program interruptions”
ianasilver.com 