Using official school data from a sample of 3,461 students enrolled in Grad Solutions, an Educational Management Organization (EMO), from 2015 through 2018, we conducted a quantitative cross-sectional research design study to understand the predictive nature by which students who dropped out of high school and re-enrolled in Grad Solutions…

The authors examined the predictive nature of attentional biases and initial grade point average of ninth graders dropping out of high school. Attentional biases are cognitive shifts in focus that are linked in both time and context toward stimuli perceived by an individual as threatening. Data were collected from 68 high school freshmen (45.6%…

In this study, the researchers concentrate on the gap in the educational and counseling literature documenting the extent to which certain psychosocial variables may contribute to the prediction of students who are at risk of dropping out of high school. Specifically, wellness, perceived stress, mattering, and at-risk status for dropping out of…

Looked beyond socioeconomic indicators to seek underlying influences on rural high school seniors' dropout/completion decisions. Data came from school records and student surveys. Students were grouped by gender, and variables of Everett's (1996) model were analyzed. The predictor model for males had a 88.89 percent correct classification rate.…

Developed a predictive model for profiling potential high school dropouts during middle school. Data collected from archival sources presented a profile, which included being retained more often, being overage, receiving free/reduced lunch, being less likely to participate in high school athletics, receiving more Ds and Fs, having poorer…