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The Effects of Genetics, the Environment, and Low Self-Control on Perceived Maternal and Paternal Socialization: Results from a Longitudinal Sample of Twins

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Abstract

The association between parental socialization and antisocial behavior is central to much criminological theory and research. For the most part, criminologists view parental socialization as reflecting a purely social process, one that is not influenced by genetic factors. A growing body of behavioral genetic research, however, has cast doubt on this claim by revealing that environments are partially shaped by genetic factors. The current study used these findings as a springboard to examine the genetic and environmental underpinnings to various measures of perceived paternal and maternal parenting. Analysis of twin pairs drawn from the National Longitudinal Study of Adolescent Health revealed that between 16 and 31% of the variance in perceptions of maternal attachment, maternal involvement, maternal disengagement, and maternal negativity was the result of genetic factors. Additionally, between 46 and 63% of the variance in perceptions of paternal attachment, paternal involvement, and paternal negativity was accounted for by genetic factors. The implications that these results have for criminologists are explored.

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Notes

  1. Bivariate correlations were calculated to ensure that the maternal and paternal measures were not tapping the same underlying construct. The results of these bivariate correlations revealed statistically significant associations between all of the maternal and paternal parenting measures. These correlations, however, ranged between r = .09 and r = .48, indicating that the maternal and paternal scales were measuring parent-specific behaviors, not family-wide parenting practices.

  2. I tested for harmful levels of multicollinearity by calculating variance inflation factors (VIF) and tolerance values. The results of these statistics indicated the presence of some multicollinearity (as a function of the heritability term and the shared environmental term) for the models in Table 2 and the maternal negativity model in Table 4. This is not surprising because the DF model is essentially an interaction model and interaction models are known to be affected by multicollinearity (for the models with the paternal measures as the dependent variable, the shared environmental effect was dropped from the equation because it was non-significant and so collinearity was not a problem). Nonetheless, I recalculated the DF models using different variants of the DF model and the results were virtually identical. Similarly, I recalculated the DF models in three steps. First, I entered only the ENVDIF measures into the equation (this was the baseline model). I then sequentially introduced the heritability term and then the shared environmental term. The standard errors for all of the coefficients were then examined across all of the models. The results revealed that the magnitude of the standard errors remained very similar across all of the models. Additionally, the results of these models are in line with the extant literature examining the genetic basis to family environments. Last, I recalculated all of the models by removing all of the ENVDIF measures and the shared environmental component. These models had no issues with collinearity (because they were essentially bivariate models) and the heritability estimates were similar to the ones that were reported in the full model (i.e., the confidence intervals overlapped). As a result, it does not appear as though the results are a function of collinearity or multicollinearity.

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Acknowledgments

This research uses data from Add Health, a program project directed by Kathleen Mullan Harris and designed by J. Richard Udry, Peter S. Bearman, and Kathleen Mullan Harris at the University of North Carolina at Chapel Hill, and funded by grant P01-HD31921 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development, with cooperative funding from 23 other federal agencies and foundations. Special acknowledgment is due Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website (http://www.cpc.unc.edu/addhealth). No direct support was received from grant P01-HD31921 for this analysis.

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Correspondence to Kevin M. Beaver.

Appendix 1

Appendix 1

See Table 6.

Table 6 Individual items comprising the nonshared sources of variance measures

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Beaver, K.M. The Effects of Genetics, the Environment, and Low Self-Control on Perceived Maternal and Paternal Socialization: Results from a Longitudinal Sample of Twins. J Quant Criminol 27, 85–105 (2011). https://doi.org/10.1007/s10940-010-9100-z

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