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Author: Uekawa, Kazuaki
Resulting in 2 citations.
1. Uekawa, Kazuaki
The Influence of Family Structure on Social Outcomes
Presented: Washington DC, American Evaluation Association Annual Conference, October 2013
Cohort(s): NLSY97
Publisher: American Evaluation Association
Keyword(s): Crime; Dropouts; Family Structure; Health Factors; Sexual Activity; Substance Use; Transition, Adulthood

Permission to reprint the abstract has not been received from the publisher.

The National Longitudinal Survey of Youth (NLSY97) provides a wealth of data on youth as they transition into adulthood, including information about their family structure. In this presentation, the author will present results of his investigation of the relationship between a youth's family structure (i.e., intact, blended, divorced, and never-married families) on a variety of social outcomes including dropout, substance abuse, sexual behaviors, health habits, and crime. This investigation will include both a summary of the literature on the influence of family structure on social outcomes, as well as the results of quantitative analyses to describe the marginal influences of family structure on each type of outcome. Implications of these findings will be discussed, especially as they relate to family engagement.
Bibliography Citation
Uekawa, Kazuaki. "The Influence of Family Structure on Social Outcomes." Presented: Washington DC, American Evaluation Association Annual Conference, October 2013.
2. Uekawa, Kazuaki
The Use of Receiver Operating Characteristic (ROC) Curve Analysis for the Prediction of Educational Outcomes: Lessons Learned from the National Longitudinal Survey of Youth (NLSY)
Presented: Washington DC, American Evaluation Association Annual Conference, October 2013
Cohort(s): NLSY97
Publisher: American Evaluation Association
Keyword(s): Dropouts; Educational Outcomes; Modeling

Permission to reprint the abstract has not been received from the publisher.

Receiver Operating Characteristic (ROC) Curve Analysis can be applied to the prediction of educational outcomes that are dichotomous in nature. Such outcomes include grade retention, dropout, college enrollment, or college graduation. The ROC Curve Analysis is used often in medical science where, given the values of a continuous variable (e.g., blood pressure, hormone level), prediction is made for the dichotomous outcome (e.g., diabetes, pregnancy). Based on a pair of diagnostic statistics, sensitivity and specificity, the analysis helps derive a cut point for the predictor variables such that the prediction result will be optimized. Using publicly available educational databases as examples (e.g., NLSY97, NELS88), the authors will show how the analysis can be implemented in educational systems. For example, this method can be used to predict dropouts for an early warning system, or help superintendents predict retention rates. We will conclude the presentation by discussing this method's strengths and weaknesses as a tool for educational intervention.
Bibliography Citation
Uekawa, Kazuaki. "The Use of Receiver Operating Characteristic (ROC) Curve Analysis for the Prediction of Educational Outcomes: Lessons Learned from the National Longitudinal Survey of Youth (NLSY)." Presented: Washington DC, American Evaluation Association Annual Conference, October 2013.