1,720,958 research outputs found
Data and analytic code for Neighborhood conditions and neurodevelopment: A systematic review of brain structure in children and adolescents
No full textThis repository contains two key files. Lewis_Gresham et al._Neigh_Neurodevelopment_Review.csv contains reference information and extracted data from the 37 articles eligible for inclusion in the review. Lewis_Gresham et al._Neigh_Neurodevelopment_Review.Rmd contains the reproducible analytic code supporting the descriptive statistics presented in the review.The data and analytic code in this repository represent those needed to replicate the findings from the systematic review entitled, "Neighborhood conditions and neurodevelopment: A systematic review of brain structure in children and adolescents". In this review, we describe design and measurement characteristics and synthesize evidence from 37 studies.NALewis, Lydia; Gresham, Bria; Riegelman, Amy; Ip, Ka I. (2025). Data and analytic code for Neighborhood conditions and neurodevelopment: A systematic review of brain structure in children and adolescents. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/tvc9-9r59
Data for Adverse Childhood Experiences: A Scoping Review of Measures and Methods
No full textThe file "List of full-text articles assessed for eligibility" is a spreadsheet of all the articles that were screened to determine whether they were eligible for the literature review. The file includes the decisions to include or exclude as well as reasons for inclusion. The file "Consensus codes on all articles" contains the consensus decisions on the set of variables included. The "Lit_reviewR" file contains the same data in a CSV format, and is read in to the R script used for data analysis, "Data analysis in R.R". The "Journals" file contains a list of all the journals the eligible articles were published in. We also uploaded the Method section of the paper, which is necessary for replicating the study. The study was conducted in Minnesota, and all co-authors are affiliated with the University of Minnesota.The items included in this depository are the materials needed to replicate the methodology and results of the scoping review of research on adverse childhood experiences (ACEs).NoneKaratekin, Canan; Mason, Susan; Riegelman, Amy; Bakker, Caitlin; Hunt, Shanda; Gresham, Bria; Corcoran, Frederique; Barnes, Andrew. (2022). Data for Adverse Childhood Experiences: A Scoping Review of Measures and Methods. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/s2jm-1j25
How neighborhoods shape health from adolescence to adulthood: An examination of age-varying effects
No full textUniversity of Minnesota Ph.D. dissertation. March 2025. Major: Developmental Psychology. Advisors: Canan Karatekin, Megan Gunnar. 1 computer file (PDF); ix, 92 pages.The neighborhood in which one resides represents an important contextual influence on health. Indeed, a large body of research has examined associations between myriad neighborhood conditions and health, often demonstrating that worse neighborhood conditions are related to worse health. However, few studies have examined when in development exposure to harmful neighborhood conditions may confer the greatest risk. In this dissertation, I aimed to address this gap in the literature by examining change in neighborhood concentrated disadvantage, depressive symptoms, and binge drinking across adolescence and emerging adulthood (Aim 1) and the age-varying associations between neighborhood concentrated disadvantage and depressive symptoms (Aim 2) and binge drinking (Aim 3) from ages 13-25. To address these questions, I leveraged a sample of 9,956 youth that participated in Waves I-III of the National Study of Adolescent to Adult Health. All participants were between 13-25-years-old at all three timepoints. The sample was predominantly female (53.18%), white (68.74%), non-Hispanic (84.42%), and resided in households where at least one caregiver had a high school diploma/GED or more (87.93%) and was employed (90.21%). Although this varied slightly across waves, participants resided in neighborhoods where, on average, 17% of residents were socioeconomically disadvantaged. To address the primary aims of this dissertation, I conducted time-varying effect models, structuring the data by age instead of timepoint, yielding estimates of the association between neighborhood concentrated disadvantage and depressive symptoms and binge drinking as a function of continuous age from 13-25. All models controlled for participant sex, race, and ethnicity, and caregiver educational attainment, employment, and receipt of public assistance. I found that neighborhood concentrated disadvantage increased across age, likely as a function of increasing concentrated poverty across historical time. Average depressive symptoms and engagement in binge drinking varied substantially by age, with the former peaking in late adolescence and the latter peaking in mid-emerging adulthood. Neighborhood concentrated disadvantage was only associated with depressive symptoms in emerging adulthood, whereas the association between neighborhood concentrated disadvantage and binge drinking was significant only in early adolescence. These findings may prove useful for the early identification of and intervention for those most at risk for depressive symptoms and binge drinking among those residing in disadvantaged neighborhoods. Several important directions for future research include 1) the development and use of datasets appropriate for longitudinal analyses of neighborhoods and health to elucidate how associations unfold dynamically over time, 2) investigating associations between neighborhood conditions and health that extend beyond socioeconomic conditions to examine other environmental features of the neighborhood, and 3) the incorporation of structural determinants of health and health inequities that shape the neighborhood context into research designs.Gresham, Bria. (2025). How neighborhoods shape health from adolescence to adulthood: An examination of age-varying effects. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/273536
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Data and data analysis script supporting Is Fair Representation Good for Children? Effects of Electoral Partisan Bias in State Legislatures on Policies Affecting Children’s Health and Well-Being
No full textThe files include the "readme for the partisan bias study" text document that provides an overview of the study and details about the other two files, the Excel file that has all the raw data for the study (Partisan bias study data.xls) and the R script used to analyze the data (Partisan bias study R script).Increasing evidence suggests that state policies impact constituents' health, but political determinants of health and health inequities remain understudied. Using state and year fixed-effects models, we determined the extent to which changes in electoral partisan bias in lower chambers of U.S. state legislatures (i.e., discrepancy between statewide vote share and seat share) were followed by changes in five state policies affecting children and families (1980-2019) and a composite of safety net programs (1999-2018). We examined effects on each policy and whether the effect was modified when bias was accompanied by unified party control. Next, we determined whether the effect differed depending on which party it favored. Less bias resulted only in higher AFDC/TANF benefits. Both pro-Democratic and pro-Republican bias was followed by decreased AFDC/TANF benefits and increased Medicaid benefits. AFDC/TANF recipients, unemployment benefits, minimum wage, and pre-K-12 education spending increased following pro-Democratic bias and decreased following pro-Republican bias. Estimated effects on the composite measure of safety net policies were all close to null. Some effects were modulated by unified party control. Results demonstrate that increasing fairness in elections is not a panacea by itself for increasing generosity of programs affecting children’s well-being. Indeed, bias can be somewhat beneficial for the expansiveness of some policies. Furthermore, with the exception of unemployment benefits and AFDC/TANF recipients, Democrats have not been using the additional power that comes with electoral bias to spend more on major programs that benefit children. Finally, after decades in which electoral bias was in Democrats’ favor, bias has started to shift toward Republicans in the last decade. This trend forecasts more cuts in almost all the policies in this study, especially education and AFDC/TANF recipients. There is a need for more research and advocacy emphasis on the political determinants of social determinants of health, especially at the state level.NoneKaratekin, Canan; Mason, Susan M.; Latner, Michael; Gresham, Bria; Corcoran, Frederique; Hing, Anna; Barnes, Andrew J.. (2023). Data and data analysis script supporting Is Fair Representation Good for Children? Effects of Electoral Partisan Bias in State Legislatures on Policies Affecting Children’s Health and Well-Being. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/62rc-r153
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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