Search for: All records

This study examines the relationship between health and adolescent employment. Using data from the Panel Study of Income Dynamics’ Child Development Supplement and Transition into Adulthood Supplement, we examine a cohort of 2,925 youth who were followed from childhood into adolescence. We focus on two outcomes measured when sample members were ages 16, 17, and 18: employment status and average weekly hours worked. With these data, we test the hypothesis that youth with health conditions will be less likely to work and if they do work, they work fewer hours a week. We find mixed support for this hypothesis. Youth with sensory limitations, developmental disabilities, and externalizing problem behaviors are less likely to work than their peers without these conditions. However, conditional on being employed, youth with externalizing problem behaviors and ADHD work more hours a week than their peers without those conditions. 

We conducted an experiment to evaluate the effects on fieldwork outcomes and interview mode of switching to a web-first mixed-mode data collection design (self-administered web interview and interviewer-administered telephone interview) from a telephone-only design. We examine whether the mixed-mode option leads to better survey outcomes, based on response rates, fieldwork outcomes, interview quality and costs. We also examine respondent characteristics associated with completing a web interview rather than a telephone interview. Our mode experiment study was conducted in the 2019 wave of the Transition into Adulthood Supplement (TAS) to the US Panel Study of Income Dynamics (PSID). TAS collects information biennially from approximately 3,000 young adults in PSID families. The shift to a mixed-mode design for TAS was aimed at reducing costs and increasing respondent cooperation. We found that for mixed-mode cases compared to telephone only cases, response rates were higher, interviews were completed faster and with lower effort, the quality of the interview data appeared better, and fieldwork costs were lower. A clear set of respondent characteristics reflecting demographic and socioeconomic characteristics, technology availability and use, time use, and psychological health were associated with completing a web interview rather than a telephone interview. 

Adaptive survey designs are increasingly used by survey practitioners to counteract ongoing declines in household survey response rates and manage rising fieldwork costs. This paper reports findings from an evaluation of an early-bird incentive (EBI) experiment targeting high-effort respondents who participate in the 2019 wave of the US Panel Study of Income Dynamics. We identified a subgroup of high-effort respondents at risk of nonresponse based on their prior wave fieldwork effort and randomized them to a treatment offering an extra time-delimited monetary incentive for completing their interview within the first month of data collection (treatment group; N = 800) or the standard study incentive (control group; N = 400). In recent waves, we have found that the costs of the protracted fieldwork needed to complete interviews with high-effort cases in the form of interviewer contact attempts plus an increased incentive near the close of data collection are extremely high. By incentivizing early participation and reducing the number of interviewer contact attempts and fieldwork days to complete the interview, our goal was to manage both nonresponse and survey costs. We found that the EBI treatment increased response rates and reduced fieldwork effort and costs compared to a control group. We review several key findings and limitations, discuss their implications, and identify the next steps for future research.

 

Background: Adverse childhood experiences (ACEs) are stressful childhood events associated with behavioral, mental, and physical illness. Parent experiences of adversity may indicate a child’s adversity risk, but little evidence exists on intergenerational links between parents’ and children’s ACEs. This study examines these intergenerational ACE associations, as well as parent factors that mediate them. Methods: The Panel Study of Income Dynamics (PSID) 2013 Main Interview and the linked PSID Childhood Retrospective Circumstances Study collected parent and child ACE information. Parent scores on the Aggravation in Parenting Scale, Parent Disagreement Scale, and the Kessler-6 Scale of Emotional Distress were linked through the PSID 1997, 2002, and 2014 PSID Childhood Development Supplements. Multivariate linear and multinomial logistic regression models estimated adjusted associations between parent and child ACE scores. Results: Among 2205 parent-child dyads, children of parents with four or more ACEs had 3.25-fold (23.1% [95% CI 15.9–30.4] versus 7.1% [4.4–9.8], p-value 0.001) higher risk of experiencing four or more ACEs themselves, compared to children of parents without ACEs. Parent aggravation, disagreement, and emotional distress were partial mediators. Conclusions: Parents with higher ACE scores are far more likely to have children with higher ACEs. Addressing parenting stress, aggravation, and discord may interrupt intergenerational adversity cycles. 

OBJECTIVES Discrimination has been shown to have profound negative effects on mental and behavioral health and may influence these outcomes early in adulthood. We aimed to examine short-term, long-term, and cumulative associations between different types of interpersonal discrimination (eg, racism, sexism, ageism, and physical appearance discrimination) and mental health, substance use, and well-being for young adults in a longitudinal nationally representative US sample. METHODS We used data from 6 waves of the Transition to Adulthood Supplement (2007–2017, 1834 participants) of the Panel Study of Income Dynamics. Outcome variables included self-reported health, drug use, binge drinking, mental illness diagnosis, Languishing and Flourishing score, and Kessler Psychological Distress Scale score. We used logistic regression with cluster-robust variance estimation to test cross-sectional and longitudinal associations between discrimination frequency (overall, cumulative, and by different reason) and outcomes, controlling for sociodemographics. RESULTS Increased discrimination frequency was associated with higher prevalence of languishing (relative risk [RR] 1.34 [95% CI 1.2–1.4]), psychological distress (RR 2.03 [95% CI 1.7–2.4]), mental illness diagnosis (RR 1.26 [95% CI 1.1–1.4]), drug use (RR 1.24 [95% CI 1.2–1.3]), and poor self-reported health (RR 1.26 [95% CI 1.1–1.4]) in the same wave. Associations persisted 2 to 6 years after exposure to discrimination. Similar associations were found with cumulative high-frequency discrimination and with each discrimination subcategory in cross-sectional and longitudinal analyses. CONCLUSIONS In this nationally representative longitudinal sample, current and past discrimination had pervasive adverse associations with mental health, substance use, and well-being in young adults. 

Abstract In recent years, household surveys have expended significant effort to counter well-documented increases in direct refusals and greater difficulty contacting survey respondents. A substantial amount of fieldwork effort in panel surveys using telephone interviewing is devoted to the task of contacting the respondent to schedule the day and time of the interview. Higher fieldwork effort leads to greater costs and is associated with lower response rates. A new approach was experimentally evaluated in the 2017 wave of the Panel Study of Income Dynamics (PSID) Transition into Adulthood Supplement (TAS) that allowed a randomly selected subset of respondents to choose their own day and time of their telephone interview through the use of an online appointment scheduler. TAS is a nationally representative study of US young adults aged 18–28 years embedded within the worlds’ longest running panel study, the PSID. This paper experimentally evaluates the effect of offering the online appointment scheduler on fieldwork outcomes, including number of interviewer contact attempts and interview sessions, number of days to complete the interview, and response rates. We describe panel study members’ characteristics associated with uptake of the online scheduler and examine differences in the effectiveness of the treatment across subgroups. Finally, potential cost-savings of fieldwork effort due to the online appointment scheduler are evaluated.