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Powell, Michael; Newgent, Rebecca A. – Measurement and Evaluation in Counseling and Development, 2016
This article describes the development and psychometrics of the Juvenile Addiction Risk Rating. The Juvenile Addiction Risk Rating is a brief screening of addiction potential based on 10 risk factors predictive of youth alcohol and drug-related problems that assists examiners in more accurate treatment planning when self-report information is…
Descriptors: Addictive Behavior, At Risk Students, Substance Abuse, Adolescents
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Brown, Joshua Travis; Volk, Fred; Gearhart, Gabrielle L. – Journal of American College Health, 2018
Objective: This study seeks to evaluate the psychometric properties of the Ottawa Self-Injury Inventory-Functions (OSI-F) for assessing nonsuicidal self-injury (NSSI), a condition for further study in the DSM-5. Participants: Participants included 345 students who indicated a history of self-injury in a university counseling center over six…
Descriptors: Self Destructive Behavior, Injuries, College Students, Predictor Variables
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Celik, Vehbi; Yesilyurt, Etem; Korkmaz, Ozgen; Usta, Ertugrul – EURASIA Journal of Mathematics, Science & Technology Education, 2014
In this research internet addiction has been dealt with as predictor and predicted variable, this situation has been analyzed from the perspectives of loneliness and cognitive absorption and a tangible model has been put forth. Participant group has been constituted by 338 teacher candidates. Research data were collected using loneliness scale…
Descriptors: Internet, Addictive Behavior, Predictor Variables, Cognitive Processes
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Koh, Hyeseung; Mackert, Michael – Journal of American College Health, 2016
Objective: This study attempted to identify critical predictors of intention to both send and read texts while walking based on Theory of Planned Behavior in order to provide resources for practitioners and campaign designers to inform college students of the perils of texting while walking and dissuade them from such a risky behavior.…
Descriptors: College Students, Social Media, Mass Media Use, Mass Media Effects