Content by Keyword: Youth/Teens/Adolescents

The quality of their parents’ relationship has important implications for youth. Past work has shown that parents’ marital hostility is associated with behavioral and emotional problems in their children (Buehler et al. 2007; Sturge-Apple et al. 2006). Some work suggests that it is worse for children for their parents to remain in a conflict-r

The family is the first environment in which youth experience adult relationships. Family composition and adult behaviors — such as the presence of one or both parents and the quality and stability of their relationships — have long-lasting consequences for youth. Past research has consistently shown, for example, that children whose parents

What Are the Typical Family Structures of Teens? What Do Teens Think of Their Parents’ Relationships?

1. We excluded the small number of sample members younger than age 15 in 1999, so the sample is comparable to data from the National Survey of Family Growth, which does not survey people younger than 15.

Chapters II through IV of this report address the three research questions outlined above. Chapter V provides a summary of our main results and discusses possible directions for future research. Chapters II through IV are described in more detail below.

The limited research evidence on adolescent romantic relationships is due in part to a lack of nationally representative data. No single national data set includes all of the information needed to assess teens’ early experiences with romantic relationships, their attitudes and expectations concerning romantic relationships and marriage, and thei

Previous studies of adolescent development have established that romantic relationships and dating are very common among teens. For example, data from the National Longitudinal Survey of Youth 1979 (NLSY79) Children and Young Adult Surveys indicate that more than half of all teens have had some dating experience by the time they are 16 years old a

Previous Research on Teens and Marriage Data, Samples, and Methods Outline of the Report

In this study we have addressed a set of issues which have generally not been analyzed previously. We first examined the relationship between adolescent risky behaviors and long-term adult outcomes. Five adolescent behaviors were studied: alcohol use, marijuana use, cocaine use, sexual activity, and delinquency. Multiple outcomes were measured acr

Amato, P. R. (1999). Children of divorced parents as young adults. In E. M. Hetherington (Ed.),  Coping With Divorce, Single Parenting, and Remarriage  (pp. 147-164). Mahwah, NJ: Lawrence Erlbaum Associates. Amato, P. R. (1996). Explaining the intergenerational transmission of divorce.  Journal of Marriage and the Family , 58, 628-640. Amat

Summary Table Mothers' Education By Risky Behavior

Summary Table Note: Results from regressions with no differences by age are not shown. Parents' Education by Risky Behavior

Note: Results from regressions with no differences by age are not shown. Summary Table Family Type by Risky Behavior

Table C1: Definitions of Early Initiators for each Outcome/Behavior Pairing Adult Outcomes Age of alcohol initiation Age of marijuana initiation Age of cocaine initiation Age of sex initiation Number of crimes/delinquencies Alcohol abuse or dependence ~ 30 11-17 11-19 11-15 11-19 9 + Past-month drug use

Table B1. Odds Ratios from Logistic Regressions of Adult Health and Crime Outcomes Independent Variables Adult Outcome Health Crime Alcohol Abuse or Dependence Odds Ratio [P-value] Past-month Drug Use Odds Ratio [P-value] Ever Being in Jail Odds Ratio [P-value] Number of observations

25. The creation of the variable "last time enrolled in school" takes into account the highest degree obtained by each individual respondent. An algorithm was developed to create this variable.

The outcome variables in this study were assumed to follow different distributions and therefore a variety of regressions were estimated. To demonstrate statistical significance of estimated results consistently and as simply as possible, we chose to show p-values for all estimates, be it odds ratios or marginal effects. P-values range from 0 to 1

The Weibull distribution is one of the distributions used in modeling survival or duration data. The variable of interest in the analysis of duration is the length of time that elapses from the beginning of some event either until its end or until the measurement is taken, which may precede termination. In our study, we apply Weibull regression to