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This chapter challenges the traditional unidirectional view of parental monitoring by presenting a novel theoretical dynamic process model of parent–adolescent communication in which parents and adolescents causally influence each other. A review of empirical studies highlights that adolescents are active agents who strategically manage information from their parents. However, few studies have subjected the frequently hypothesized bidirectional processes to more rigorous within-family tests. Six studies with yearly intervals suggest that parent–adolescent communication about adolescent activities is bidirectionally related to adolescent outcomes. A handful of daily diary studies suggest that adolescents disclose more on days when there is more parental monitoring and when the quality of the relationship is better. What remains to be empirically determined is how real-time and everyday family functioning may explain the development of adolescent functioning. The chapter concludes with a discussion of four potential open questions for future research on transactional monitoring processes.
Extensive research has focused on the potential benefits of education on various mental and physical health outcomes. However, whether the associations reflect a causal effect is harder to establish.
Methods
To examine associations between educational duration and specific aspects of well-being, anxiety and mood disorders, and cardiovascular health in a sample of European Ancestry UK Biobank participants born in England and Wales, we apply four different causal inference methods (a natural policy experiment leveraging the minimum school-leaving age, a sibling-control design, Mendelian randomization [MR], and within-family MR), and assess if the methods converge on the same conclusion.
Results
A comparison of results across the four methods reveals that associations between educational duration and these outcomes appears predominantly to be the result of confounding or bias rather than a true causal effect of education on well-being and health outcomes. Although we do consistently find no associations between educational duration and happiness, family satisfaction, work satisfaction, meaning in life, anxiety, and bipolar disorder, we do not find consistent significant associations across all methods for the other phenotypes (health satisfaction, depression, financial satisfaction, friendship satisfaction, neuroticism, and cardiovascular outcomes).
Conclusions
We discuss inconsistencies in results across methods considering their respective limitations and biases, and additionally discuss the generalizability of our findings in light of the sample and phenotype limitations. Overall, this study strengthens the idea that triangulation across different methods is necessary to enhance our understanding of the causal consequences of educational duration.
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