Pathways to Service Receipt: Modeling Parent Help-Seeking for Childhood Mental Health Problems

Understanding parent appraisals of child behavior problems and parental help-seeking can reduce unmet mental health needs. Research has examined individual contributors to help-seeking and service receipt, but use of structural equation modeling (SEM) is rare. SEM was used to examine parents’ appraisal of child behavior, thoughts about seeking help, and receipt of professional services in a diverse, urban sample (N = 189) recruited from women infant and children offices. Parents of children 11–60 months completed questionnaires about child behavior and development, parent well-being, help-seeking experiences, and service receipt. Child internalizing, externalizing, and dysregulation problems, language delay, and parent worry about child behavior loaded onto parent appraisal of child behavior. Parent stress and depression were positively associated with parent appraisal (and help-seeking). Parent appraisal and help-seeking were similar across child sex and age. In a final model, parent appraisals were significantly associated with parent thoughts about seeking help, which was significantly associated with service receipt

DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways

Clinical researchers use disease progression models to understand patient status and characterize progression patterns from longitudinal health records. One approach for disease progression modeling is to describe patient status using a small number of states that represent distinctive distributions over a set of observed measures. Hidden Markov models (HMMs) and its variants are a class of models that both discover these states and make inferences of health states for patients. Despite the advantages of using the algorithms for discovering interesting patterns, it still remains challenging for medical experts to interpret model outputs, understand complex modeling parameters, and clinically make sense of the patterns. To tackle these problems, we conducted a design study with clinical scientists, statisticians, and visualization experts, with the goal to investigate disease progression pathways of chronic diseases, namely type 1 diabetes (T1D), Huntington's disease, Parkinson's disease, and chronic obstructive pulmonary disease (COPD). As a result, we introduce DPVis which seamlessly integrates model parameters and outcomes of HMMs into interpretable and interactive visualizations. In this study, we demonstrate that DPVis is successful in evaluating disease progression models, visually summarizing disease states, interactively exploring disease progression patterns, and building, analyzing, and comparing clinically relevant patient subgroups.Comment: to appear at IEEE Transactions on Visualization and Computer Graphic

Explaining support for vigilantism and punitiveness: assessing the role of perceived procedural fairness, ethnocentrism, authoritarianism and anomia

The purpose of this study is to investigate the interrelationships among ethnocentrism, authoritarianism, anomia, the lack of confidence in the criminal justice system, punitiveness and support for vigilantism in a cross-sectional sample of 1,078 Belgian university students enrolled at Ghent University during the academic year 2009-2010. The emphasis lies on confidence in procedural justice or perceived procedural fairness, a specific type of organisational justice perception that reflects how fairly organisational procedures of the criminal justice system are perceived. First, it is assessed to what extent ethnocentrism, authoritarianism and anomia can equally explain individual differences in perceived procedural fairness of the criminal justice system, punitiveness and support for vigilantism. Ethnocentrism, anomia and authoritarianism are from a theoretical point of view hypothesised as exogenous variables that especially (but not exclusively) have indirect effects on public support for vigilantism mainly because of their effects on perceived procedural fairness in the criminal justice system and punitiveness. Finally, it is investigated to what extent punitiveness can be seen as the key mediator of the effects of all exogenous mechanisms (ethnocentrism, authoritarianism, anomia) and perceptions of procedural fairness as an endogenous mechanism on public support for vigilantism. Direct and indirect effects between latent variables are assessed using a structural equation modelling approach (full LISREL models)

Associations of maternal and adolescent religiosity and spirituality with adolescent alcohol use in Chile: implications for social work practice

To inform social work practice with adolescents who may consume alcohol, we examined if alcohol use among Chilean adolescents varied as a function of their mothers’ and their own religiosity and spirituality. Data were from 787 Chilean adolescents and their mothers. Adolescent spirituality was a protective factor against more deleterious alcohol use. Parental monitoring and alcohol using opportunities mediated the associations. The practice of religious behaviors by themselves without meaningful faith were not associated with alcohol use among adolescents. Implications for social work practice are discussed.This research was funded by the US National Institute on Drug Abuse (R01 02118). The project also received support from the Curtis Research and Training Center of the School of Social Work at the University of Michigan and from the University of Michigan Substance Abuse Research Center Ruth L. Kirschstein National Research Service Award T32 DA007267. (R01 02118 - US National Institute on Drug Abuse; Curtis Research and Training Center of the School of Social Work at the University of Michigan; T32 DA007267 - University of Michigan Substance Abuse Research Center Ruth L. Kirschstein National Research Service

Determinants of political trust : a lifetime learning model

This article addresses questions regarding the origins of individual variations in political trust. Using 2 prospective longitudinal studies, we examine the associations between family background, general cognitive ability (g) and school motivation at early age, educational and occupational attainment in adulthood, and political trust measured in early and mid-adulthood in 2 large representative samples of the British population born in 1958 (N = 8,804) and in 1970 (N = 7,194). A lifetime learning model of political trust is tested using structural equation modeling to map the pathways linking early experiences to adult outcomes. Results show that political trust is shaped by both early and later experiences with institutions in society. Individuals who have accumulated more socioeconomic, educational, and motivational resources throughout their life course express higher levels of political trust than do those with fewer resources

Using Random Forests to Describe Equity in Higher Education: A Critical Quantitative Analysis of Utah’s Postsecondary Pipelines

The following work examines the Random Forest (RF) algorithm as a tool for predicting student outcomes and interrogating the equity of postsecondary education pipelines. The RF model, created using longitudinal data of 41,303 students from Utah\u27s 2008 high school graduation cohort, is compared to logistic and linear models, which are commonly used to predict college access and success. Substantially, this work finds High School GPA to be the best predictor of postsecondary GPA, whereas commonly used ACT and AP test scores are not nearly as important. Each model identified several demographic disparities in higher education access, most significantly the effects of individual-level economic disadvantage. District- and school-level factors such as the proportion of Low Income students and the proportion of Underrepresented Racial Minority (URM) students were important and negatively associated with postsecondary success. Methodologically, the RF model was able to capture non-linearity in the predictive power of school- and district-level variables, a key finding which was undetectable using linear models. The RF algorithm outperforms logistic models in prediction of student enrollment, performs similarly to linear models in prediction of postsecondary GPA, and excels both models in its descriptions of non-linear variable relationships. RF provides novel interpretations of data, challenges conclusions from linear models, and has enormous potential to further the literature around equity in postsecondary pipelines

Relative Risk Aversion and Social Reproduction in Intergenerational Educational Attainment: Application of a Dynamic Discrete Choice Mode

The theory of Relative Risk Aversion (RRA) claims that educational decision-making is ultimately motivated by the individual’s desire to avoid downward social class mobility, and that this desire is stronger than the desire to pursue upward mobility. This paper implements a dynamic programming model which tests the central behavioral assumption in the RRA theory stating that (1) individuals are forward-looking when choosing education and (2) that the RRA mechanism comprises an important component in the educational decision-making process. Using data from the Danish Youth Longitudinal Study, we find strong evidence of RRA in educational decision-making over and above the effect of traditional social background variables.

Relationship of birth order and gender with academic standing and substance use among youth in Latin America

Alfred Adler attempted to understand how family affects youth outcomes by considering the order of when a child enters a family (Adler, 1964). Adler's theory posits that birth order formation impacts individuals. We tested Adler's birth order theory using data from a cross-sectional survey of 946 Chilean youths. We examined how birth order and gender are associated with drug use and educational outcomes using three different birth order research models including: (1) Expedient Research, (2) Adler's birth order position, and (3) Family Size theoretical models. Analyses were conducted with structural equation modeling (SEM). We conclude that birth order has an important relationship with substance use outcomes for youth but has differing effects for educational achievement across both birth order status and gender.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3375868/Accepted manuscrip

Genetic Markers as Instrumental Variables

The use of genetic markers as instrumental variables (IV) is receiving increasing attention from epidemiologists, economists, statisticians and social scientists. This paper examines the conditions that need to be met for genetic variants to be used as instruments. Although these have been discussed in the epidemiological, medical and statistical literature, they have not been well-defined in the economics and social science literature. The increasing availability of biomedical data however, makes understanding of these conditions crucial to the successful use of genotypes as instruments for modifiable risk factors. We combine the econometric IV literature with that from genetic epidemiology using a potential outcomes framework and review the IV conditions in the context of a social science application, examining the effect of child fat mass on academic performance.ALSPAC; Fat mass; Genetic Variants; Instrumental Variables; Mendelian Randomization; Potential Outcomes