Commuter Rail and the Landscape: Alternative Futures for Planning in Southeastern Box Elder County

This thesis analyzes the impact the FrontRunner commuter-rail service would have on Southeastern Box Elder County, Utah, using both anticipated future and alternative future scenarios created in a geographic information system (GIS). These alternative future scenarios include having the FrontRunner developed at anticipated stops and a transit-oriented development (TOD) scenario. Using techniques and methods developed by scholars in the bioregional planning field, these alternative future scenarios were compared against impact-data models addressing residential land-use suitability and landscape risk. Outcomes: from this analysis, the TOD alternative future scenario had the least impact on landscape risk impact-data model. The TOD model is based on short trips between stops within the region, and takes advantage of a diesel car driven train, rather than the engine driven train that is the FrontRunner. Other alternative future models should be developed and tested, including a bus-rapid transit alternative, and scenarios taking into account connections to Cache Valley, Utah. A community survey for development preferences would be beneficial, along with an official rail corridor identified. Application: working with regional partners, such as the Bear River Association of Governments, planners and local officials can use the approach of this thesis to alter or create new alternative futures as they plan for the future of the region

Uintah Basin Revisited - 2012-2013 Bioregional Planning Studio Project

Since the Uintah Basin Research Conference in 2007, residents of the area have witnessed a consistent level of land-use development throughout the region. Portions of that growth and development have precipitated the need to develop a landscape-level plan in order to maintain the context of their region and community identity in the coming years. The purpose of this study is to research and develop a process that identifies current and future land-use issues throughout the Uintah Basin. The identification of these issues by various stakeholders will help to provide a framework for future policy decisions

The epidemiology of observed temperament: Factor structure and demographic group differences

This study investigated the factor structure of observational indicators of children’s temperament that were collected across the first three years of life in the Family Life Project (N = 1205) sample. A four-factor model (activity level, fear, anger, regulation), which corresponded broadly to Rothbart’s distinction between reactivity and regulation, provided an acceptable fit the observed data. Tests of measurement invariance demonstrated that a majority of the observational indicators exhibited comparable measurement properties for male vs. female, black vs. white, and poor vs. not-poor children, which improved the generalizability of these results. Unadjusted demographic group comparisons revealed small to moderate sized differences (Cohen ds = |.23 – .42|) in temperamental reactivity and moderate to large sized differences (Cohen ds = −.64 – −.97) in regulation. Collectively, demographic variables explained more of the variation in regulation (R2 = .25) than in reactivity (R2 = .02 – .06). Follow-up analyses demonstrated that race differences were substantially diminished in magnitude and better accounted for by poverty. These results help to validate the distinction between temperamental reactivity and regulation using observational indicators

Erratum to: Measuring callous unemotional behaviors in early childhood: Factor structure and the prediction of stable aggression in middle childhood (Journal of Psychopathology and Behavioral Assessment DOI: 10.1007/s10862-013- 9379-9)

This study sought to replicate the results of our earlier study, which were published in this Journal (Willoughby et. al 2011), that used mother-reported items from the Achenbach System of Empirically Based Assessment to develop a screening measure of callous unemotional (CU) behaviors for use with preschool-aged children. We further sought to extend those results by exploring the predictive validity of the CU measure with aggression trajectories in early-/mid-childhood. The current study involved secondary data analysis of the NICHD Study of Early Childhood and Youth Development (NICHD-SECCYD) dataset. Factor analyses included N = 1176 children who participated in the age 3 year assessment of the NICHD-SECCYD. Predictive models included N = 1081 children for whom four of the six possible teacher ratings of aggressive behavior were available from annual assessments spanning 1st-6th grades. Consistent with prior work, a three-factor confirmatory factor model, which differentiated CU from oppositional defiant (ODD) and attention deficit/hyperactive-impulsive (ADHD) behaviors, provided the best fit to the data. Among children with disorganized attachment status, the combination of high levels of mother-rated ODD behaviors and CU behaviors, was predictive of stable elevated levels of teacher-rated aggression from 1st-6th grade (predicted probability = .38, compared with a base rate of .07). These results demonstrate that CU behaviors can be reliably measured by parent report in young children and are dissociable from more commonly assessed dimensions of disruptive behavior. Three-year-old children who exhibit elevated levels of ODD and CU behaviors, and who have disorganized attachments, are at increased risk for exhibiting elevated levels of aggression across middle childhood. Results are discussed from the perspective of early assessment and intervention

The daily association between affect and alcohol use: a meta-analysis of individual participant data

Influential psychological theories hypothesize that people consume alcohol in response to the experience of both negative and positive emotions. Despite two decades of daily diary and ecological momentary assessment research, it remains unclear whether people consume more alcohol on days they experience higher negative and positive affect in everyday life. In this preregistered meta-analysis, we synthesized the evidence for these daily associations between affect and alcohol use. We included individual participant data from 69 studies (N = 12,394), which used daily and momentary surveys to assess affect and the number of alcoholic drinks consumed. Results indicate that people are not more likely to drink on days they experience high negative affect, but are more likely to drink and drink heavily on days high in positive affect. People self-reporting a motivational tendency to drink-to-cope and drink-to-enhance consumed more alcohol, but not on days they experienced higher negative and positive affect. Results were robust across different operationalizations of affect, study designs, study populations, and individual characteristics. These findings challenge the long-held belief that people drink more alcohol following increases in negative affect. Integrating these findings under different theoretical models and limitations of this field of research, we collectively propose an agenda for future research to explore open questions surrounding affect and alcohol use.The present study was funded by the Canadian Institutes of Health Research Grant MOP-115104 (Roisin M. O’Connor), Canadian Institutes of Health Research Grant MSH-122803 (Roisin M. O’Connor), John A. Hartford Foundation Grant (Paul Sacco), Loyola University Chicago Research Support Grant (Tracy De Hart), National Institute for Occupational Safety and Health Grant T03OH008435 (Cynthia Mohr), National Institutes of Health (NIH) Grant F31AA023447 (Ryan W. Carpenter), NIH Grant R01AA025936 (Kasey G. Creswell), NIH Grant R01AA025969 (Catharine E. Fairbairn), NIH Grant R21AA024156 (Anne M. Fairlie), NIH Grant F31AA024372 (Fallon Goodman), NIH Grant R01DA047247 (Kevin M. King), NIH Grant K01AA026854 (Ashley N. Linden-Carmichael), NIH Grant K01AA022938 (Jennifer E. Merrill), NIH Grant K23AA024808 (Hayley Treloar Padovano), NIH Grant P60AA11998 (Timothy Trull), NIH Grant MH69472 (Timothy Trull), NIH Grant K01DA035153 (Nisha Gottfredson), NIH Grant P50DA039838 (Ashley N. Linden-Carmichael), NIH Grant K01DA047417 (David M. Lydon-Staley), NIH Grant T32DA037183 (M. Kushner), NIH Grant R21DA038163 (A. Moore), NIH Grant K12DA000167 (M. Potenza, Stephanie S. O’Malley), NIH Grant R01AA025451 (Bruce Bartholow, Thomas M. Piasecki), NIH Grant P50AA03510 (V. Hesselbrock), NIH Grant K01AA13938 (Kristina M. Jackson), NIH Grant K02AA028832 (Kevin M. King), NIH Grant T32AA007455 (M. Larimer), NIH Grant R01AA025037 (Christine M. Lee, M. Patrick), NIH Grant R01AA025611 (Melissa Lewis), NIH Grant R01AA007850 (Robert Miranda), NIH Grant R21AA017273 (Robert Miranda), NIH Grant R03AA014598 (Cynthia Mohr), NIH Grant R29AA09917 (Cynthia Mohr), NIH Grant T32AA07290 (Cynthia Mohr), NIH Grant P01AA019072 (P. Monti), NIH Grant R01AA015553 (J. Morgenstern), NIH Grant R01AA020077 (J. Morgenstern), NIH Grant R21AA017135 (J. Morgenstern), NIH Grant R01AA016621 (Stephanie S. O’Malley), NIH Grant K99AA029459 (Marilyn Piccirillo), NIH Grant F31AA022227 (Nichole Scaglione), NIH Grant R21AA018336 (Katie Witkiewitz), Portuguese State Budget Foundation for Science and Technology Grant UIDB/PSI/01662/2020 (Teresa Freire), University of Washington Population Health COVID-19 Rapid Response Grant (J. Kanter, Adam M. Kuczynski), U.S. Department of Defense Grant W81XWH-13-2-0020 (Cynthia Mohr), SANPSY Laboratory Core Support Grant CNRS USR 3413 (Marc Auriacombe), Social Sciences and Humanities Research Council of Canada Grant (N. Galambos), and Social Sciences and Humanities Research Council of Canada Grant (Andrea L. Howard)

Épisodes d’inactivité et revenus criminels dans une trajectoire de délinquance

L’instabilité de l’activité criminelle dans le temps est déjà bien documentée. On connaît toutefois peu les circonstances qui expliquent ces variations à court terme. Une meilleure connaissance de ces facteurs est souhaitable puisqu’il est possible que les transitions et les changements à court terme précèdent les points tournants des carrières criminelles. Les conditions qui rendent compte d’une interruption temporaire des activités peuvent, par exemple, contribuer à expliquer un désistement définitif. L’étude se fonde sur les trajectoires de 172 délinquants impliqués dans des crimes à but lucratif et analyse les variations mensuelles de leurs revenus criminels ainsi que les épisodes d’inactivité criminelle à l’intérieur d’une période fenêtre de 36 mois. La méthode des calendriers d’histoire de vie combinée aux modèles hiérarchiques permet d’examiner conjointement le rôle de facteurs statiques (les caractéristiques individuelles des sujets) et dynamiques (les circonstances de vie). Les résultats mettent en évidence l’importance des événements qui marquent le style de vie des délinquants et des paramètres qui caractérisent l’engagement criminel dans la compréhension des variations dans les trajectoires à l’étude. Ils soulignent également l’importance de la finalité derrière les activités criminelles pour expliquer la décision des délinquants de cesser temporaire leurs activités illicites