The Stability of Self-Reported Marijuana Use across Eight Years of the National Longitudinal Survey of Youth

Autor/inn/en	Shillington, Audrey M.; Clapp, John D.; Reed, Mark B.
Titel	The Stability of Self-Reported Marijuana Use across Eight Years of the National Longitudinal Survey of Youth
Quelle	In: Journal of Child & Adolescent Substance Abuse, 20 (2011) 5, S.407-420 (14 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1067-828X
DOI	10.1080/1067828X.2011.614873
Schlagwörter	Marijuana; Drug Use; Adolescents; Measurement Techniques; Reliability; Longitudinal Studies; Gender Differences; Age Differences; Racial Differences; National Longitudinal Survey of Youth + Suchen Sie Ihr Suchwort? Drug consumption; Substance abuse; Drogenkonsum; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Messtechnik; Reliabilität; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Geschlechterkonflikt; Age; Difference; Age difference; Altersunterschied; Rassenunterschied
Abstract	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 external or across-waves consistency for self-reported marijuana use. Further tests were conducted to identify if there were any differences for age, ethnicity, and sex for report consistency. Report stability was higher for lifetime use reports than the age of onset reports. Wave-by-wave differences revealed stability remained at acceptable levels in nearly all comparisons at agreement being about 75%. Overall, report agreement was higher for females, older adolescents, and non-Hispanic/non-black youths in bivariate analyses. However, only older chronological age remained consistently significantly associated with better report stability in multiple logistic regression models. Implications regarding misclassification of users for prevention programs and measurement issues are discussed. (Contains 7 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10