TY - JOUR
T1 - Linear and non-linear
T2 - An exploration of the variation in the functional form of verbal IQ and antisocial behavior as adolescents age into adulthood
AU - Silver, Ian A.
N1 - Funding Information:
I would like to thank the anonymous reviewers for their constructive feedback. This research uses data from the National Longitudinal Study of Adolescent to Adult Health, a program project designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris, and funded by a grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development , with cooperative funding from 17 other agencies. Special acknowledgment is due to Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Persons interested in obtaining data files from Add Health should contact Add Health, Carolina Population Center, 123W. Franklin Street, Chapel Hill, NC 27516–2524 ( addhealth@unc.edu ). No direct support was received from grant P01-HD31921 for this analysis.
Publisher Copyright:
© 2019 Elsevier Inc.
PY - 2019/9/1
Y1 - 2019/9/1
N2 - Objectives: Prior scholarship assessing the association between verbal IQ and antisocial behavior has generally assumed that the functional form of the association is linear. Nevertheless, if this assumption is not valid, the interpretations from prior scholarship could be biased. The current study re-examines the functional form of the association between verbal IQ and antisocial behavior to address three limitations in the prior scholarship and four research questions. Methods: The current study uses data derived from the restricted version of the Add Health (N = 9947–14,921). Forty-eight multivariate negative binomial regression models and twelve bivariate non-parametric kernel regression models were used to estimate the association between verbal IQ and antisocial behavior. Results: The findings suggested that verbal IQ had both a linear and curvilinear association with antisocial behavior depending upon the operationalization of antisocial behavior, the age of the participants, the sex of the participants, and the race of the participants. Conclusions: The findings demonstrated the need for a formalized process to ensure the proper specification of the direct association between verbal IQ and antisocial behavior. As outlined, the two-step process encourages future scholarship to be extremely meticulous when specifying the association between verbal IQ and antisocial behavior.
AB - Objectives: Prior scholarship assessing the association between verbal IQ and antisocial behavior has generally assumed that the functional form of the association is linear. Nevertheless, if this assumption is not valid, the interpretations from prior scholarship could be biased. The current study re-examines the functional form of the association between verbal IQ and antisocial behavior to address three limitations in the prior scholarship and four research questions. Methods: The current study uses data derived from the restricted version of the Add Health (N = 9947–14,921). Forty-eight multivariate negative binomial regression models and twelve bivariate non-parametric kernel regression models were used to estimate the association between verbal IQ and antisocial behavior. Results: The findings suggested that verbal IQ had both a linear and curvilinear association with antisocial behavior depending upon the operationalization of antisocial behavior, the age of the participants, the sex of the participants, and the race of the participants. Conclusions: The findings demonstrated the need for a formalized process to ensure the proper specification of the direct association between verbal IQ and antisocial behavior. As outlined, the two-step process encourages future scholarship to be extremely meticulous when specifying the association between verbal IQ and antisocial behavior.
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U2 - 10.1016/j.intell.2019.101375
DO - 10.1016/j.intell.2019.101375
M3 - Article
AN - SCOPUS:85067842004
SN - 0160-2896
VL - 76
JO - Intelligence
JF - Intelligence
M1 - 101375
ER -