Parents and adolescents often have discrepant views of parenting which pose challenges for researchers regarding how to deal with information from multiple informants. Although recent studies indicate that parent–adolescent discrepancies in reports of parenting can be useful in predicting adolescent outcomes, their findings are mixed regarding whether discrepancies relate to more positive or more negative adolescent outcomes. This study examined the longitudinal implications of parent–adolescent discrepancies in reports of parenting (warmth, monitoring, and reasoning) on adolescent behavioral, psychological, academic, and physical health outcomes among Mexican immigrant families in the United States. Participants were 604 adolescents (54% female, Mage.wave1 = 12.41 years) and their parents. Taking a person-centered approach, this study identified distinct patterns of parent–adolescent discrepancies in parenting and their different associations with later adolescent outcomes. Adolescents’ more negative perceptions of parenting relative to parents were associated with more negative adolescent outcomes, whereas adolescents’ more positive perceptions relative to parents related to more positive adolescent outcomes. There were also variations in discrepancy patterns and their associations with adolescent outcomes between mother–adolescent vs. father-adolescent dyads. Findings of the current study highlight individual variations of discrepancies among parent–adolescent dyads and the importance of considering both the magnitude and direction of discrepancies regarding their associations with adolescent well-being.
more »
« less
What discrepancies between farmer perceptions and observational data teach us about smallholder decision making
Abstract Applications of observational data to understand smallholder farming systems have increased as the accuracy of these data has improved. The more precise observational methods become, the more discrepancies between observational data and farmer perceptions arise. These discrepancies demonstrate the prevalence of heuristics and biases, highlighting the problematic ways we study fundamental decisions around agricultural input use, production outcomes, and perceptions about weather and climate.
more »
« less
- Award ID(s):
- 2341278
- PAR ID:
- 10615589
- Publisher / Repository:
- IOP Publishing
- Date Published:
- Journal Name:
- Environmental Research Letters
- ISSN:
- 1748-9326
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Parents and adolescents often have discrepant views of parenting which pose challenges for researchers regarding how to deal with information from multiple informants. Although recent studies indicate that parent–adolescent discrepancies in reports of parenting can be useful in predicting adolescent outcomes, their findings are mixed regarding whether discrepancies relate to more positive or more negative adolescent outcomes. This study examined the longitudinal implications of parent–adolescent discrepancies in reports of parenting (warmth, monitoring, and reasoning) on adolescent behavioral, psychological, academic, and physical health outcomes among Mexican immigrant families in the United States. Participants were 604 adolescents (54% female, Mage.wave1 = 12.41 years) and their parents. Taking a person-centered approach, this study identified distinct patterns of parent–adolescent discrepancies in parenting and their different associations with later adolescent outcomes. Adolescents’ more negative perceptions of parenting relative to parents were associated with more negative adolescent outcomes, whereas adolescents’ more positive perceptions relative to parents related to more positive adolescent outcomes. There were also variations in discrepancy patterns and their associations with adolescent outcomes between mother–adolescent vs. father-adolescent dyads. Findings of the current study highlight individual variations of discrepancies among parent–adolescent dyads and the importance of considering both the magnitude and direction of discrepancies regarding their associations with adolescent well-being.more » « less
-
Abstract Understanding interactions between low clouds and land surface fluxes is critical to comprehending Earth's energy balance, yet their relationships remain elusive, with discrepancies between observations and modeling. Leveraging long‐term field observations over the Southern Great Plains, this investigation revealed that cloud‐land interactions are closely connected to cloud‐land coupling regimes. Observational evidence supports a dual‐mode interaction: coupled stratiform clouds predominate in low sensible heat scenarios, while coupled cumulus clouds dominate in high sensible heat scenarios. Reanalysis data sets, MERRA‐2 and ERA‐5, obscure this dichotomy owing to a shortfall in representing boundary layer clouds, especially in capturing the initiation of coupled cumulus in high sensible heat scenarios. ERA‐5 demonstrates a relatively closer alignment with observational data, particularly in capturing relationships between cloud frequency and latent heat, markedly outperforming MERRA‐2. Our study underscores the necessity of distinguishing different cloud coupling regimes, essential to the understanding of their interactions for advancing land‐atmosphere interactions.more » « less
-
Abstract People worldwide use SARS-CoV-2 (COVID-19) visualizations to make life and death decisions about pandemic risks. Understanding how these visualizations influence risk perceptions to improve pandemic communication is crucial. To examine how COVID-19 visualizations influence risk perception, we conducted two experiments online in October and December of 2020 (N= 2549) where we presented participants with 34 visualization techniques (available at the time of publication on the CDC’s website) of the same COVID-19 mortality data. We found that visualizing data using a cumulative scale consistently led to participants believing that they and others were at more risk than before viewing the visualizations. In contrast, visualizing the same data with a weekly incident scale led to variable changes in risk perceptions. Further, uncertainty forecast visualizations also affected risk perceptions, with visualizations showing six or more models increasing risk estimates more than the others tested. Differences between COVID-19 visualizations of the same data produce different risk perceptions, fundamentally changing viewers’ interpretation of information.more » « less
-
Estimating causal effects under exogeneity hinges on two key assumptions: unconfoundedness and overlap. Researchers often argue that unconfoundedness is more plausible when more covariates are included in the analysis. Less discussed is the fact that covariate overlap is more difficult to satisfy in this setting. In this paper, we explore the implications of overlap in observational studies with high-dimensional covariates and formalize curse-of-dimensionality argument, suggesting that these assumptions are stronger than investigators likely realize. Our key innovation is to explore how strict overlap restricts global discrepancies between the covariate distributions in the treated and control populations. Exploiting results from information theory, we derive explicit bounds on the average imbalance in covariate means under strict overlap and show that these bounds become more restrictive as the dimension grows large. We discuss how these implications interact with assumptions and procedures commonly deployed in observational causal inference, including sparsity and trimming.more » « less
An official website of the United States government
