NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Huang, David Y. C.; Lanza, H. Isabella; Murphy, Debra A.; Hser, Yih-Ing – International Journal of Behavioral Development, 2012
This study used data from 5,382 adolescents from the 1997 United States (US) National Longitudinal Survey of Youth (NLSY97) to investigate developmental pathways of alcohol use, marijuana use, sexual risk behaviors, and delinquency across ages 14 to 20; examine interrelationships among these risk behaviors across adolescence; and evaluate…
Descriptors: Adolescents, Drinking, Depression (Psychology), Marijuana
Peer reviewed Peer reviewed
Direct linkDirect link
Shillington, Audrey M.; Clapp, John D.; Reed, Mark B. – Journal of Child & Adolescent Substance Abuse, 2011
This study examined teen marijuana report stability over 8 years. The stability of self-reports refers to the consistency of self-reported use across several years. This study used fives waves of data across 8 years from the National Longitudinal Survey of Youth. Analyses were conducted to examine the internal or within-wave consistency as well as…
Descriptors: Marijuana, Drug Use, Adolescents, Measurement Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
Leech, Tamara G. J. – Youth & Society, 2012
This study examines the separate relationships of public housing residence and subsidized housing residence to adolescent health risk behavior. Data include 2,530 adolescents aged 14 to 19 who were children of the National the Longitudinal Study of Youth. The author used stratified propensity methods to compare the behaviors of each…
Descriptors: Control Groups, Marijuana, Drug Use, Drinking
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Lijuan – Journal of Educational and Behavioral Statistics, 2010
This study introduces an item response theory-zero-inflated Poisson (IRT-ZIP) model to investigate psychometric properties of multiple items and predict individuals' latent trait scores for multivariate zero-inflated count data. In the model, two link functions are used to capture two processes of the zero-inflated count data. Item parameters are…
Descriptors: Item Response Theory, Models, Test Items, Psychometrics
Peer reviewed Peer reviewed
Direct linkDirect link
Huang, David Y. C.; Murphy, Debra A.; Hser, Yih-Ing – Youth & Society, 2012
This study examined the trajectories of sexual risk behaviors among adolescents from ages 15 to 23 and factors associated with those trajectories. The sample was 5,419 adolescents from the 1997 National Longitudinal Survey of Youth. Using group-based trajectory modeling, five distinctive trajectory groups were identified. The High group had a high…
Descriptors: Adolescents, Drinking, Young Adults, At Risk Persons
Peer reviewed Peer reviewed
Direct linkDirect link
Cubbins, Lisa A.; Klepinger, Daniel H. – Journal of Marriage and Family, 2007
Using multiply imputed data from 5 waves of the National Longitudinal Survey of Youth (N = 8,294), we investigated whether childhood family characteristics and childhood religious affiliation explain ethnic differences in marijuana and cocaine use in the last year. None of the childhood factors explained ethnic differences in drug use, though…
Descriptors: Family Characteristics, Religious Cultural Groups, Ethnicity, Children
Peer reviewed Peer reviewed
Ewing, Bradley T. – Journal of Drug Education, 1998
Examines whether those who participated in high school athletics have a different pattern of marijuana use than comparable nonathletes. Male athletes have a higher incidence of marijuana use than nonathletes. The opposite is true for female athletes who are more likely than nonathletes to try marijuana after high school. (MKA)
Descriptors: Athletes, Drug Abuse, High School Students, High Schools
Schildhaus, Sam; Shaw-Taylor, Yoku; Pedlow, Steven; Pergamit, Michael R. – Office of National Drug Control Policy, 2004
The primary aim of this study was to describe the movement of adolescents and young adults into and out of drug use and to predict heavy drug use. The data source is the Department of Labor's National Longitudinal Survey of Youth, which began in 1979 with a sample of 12,686 adolescents aged 14-21. After 17 rounds and 19 years, the response rate in…
Descriptors: Drug Use, Young Adults, Adolescents, Longitudinal Studies