Trajectories of Youthful Antisocial Behavior: Categories or Continua?

Autor/inn/en	Walters, Glenn D.; Ruscio, John
Titel	Trajectories of Youthful Antisocial Behavior: Categories or Continua?
Quelle	In: Journal of Abnormal Child Psychology, 41 (2013) 4, S.653-666 (14 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0091-0627
DOI	10.1007/s10802-012-9700-1
Schlagwörter	Factor Analysis; Violence; Behavior Problems; Antisocial Behavior; Adolescents; National Surveys; Measures (Individuals); Scores; Mothers; Aggression; Case Studies; Qualitative Research; Children; Factor Structure; Classification; Statistical Analysis + Suchen Sie Ihr Suchwort? Faktorenanalyse; Gewalt; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Messdaten; Mother; Mutter; Case study; Fallstudie; Case Study; Qualitative Forschung; Child; Kind; Kinder; Faktorenstruktur; Classification system; Klassifikation; Klassifikationssystem; Statistische Analyse
Abstract	The purpose of this study was to determine whether qualitatively distinct trajectories of antisocial behavior could be identified in 1,708 children (843 boys, 865 girls) from the 1979 National Longitudinal Survey of Youth-Child Data (NLSY-C). Repeated ratings were made on the Behavior Problems Index (BPI: Peterson and Zill "Journal of Marriage and the Family," 48, 295-307, 1986) antisocial scale by the mothers of these children when the children were 6, 8, 10, 12, and 14 years of age. Scores on three indicators constructed from the six BPI Antisocial items (callousness, aggression, noncompliance) were then analyzed longitudinally (by summing across the rating periods) and cross-sectionally (by testing each individual rating period) in the full sample as well as in subsamples of boys and girls. Results obtained with the mean above minus below a cut (MAMBAC), maximum covariance (MAXCOV), and latent mode factor analysis (L-Mode) taxometric procedures revealed consistent evidence of continuous latent structure despite the fact Growth Mixture Modeling (GMM) and Latent Class Growth Analysis (LCGA) identified between two and eight trajectories, depending on the stopping rule, in the three antisocial indicators. From these results, it is concluded that the structural model underlying these data is better represented as continuous rather than as categorical. The implications of these results for future research on developmental trajectories of antisocial behavior are discussed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10