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Research regarding social competence is growing rapidly, but there remain a few aspects of social development that merit more attention. The presented pair of studies were planned to address two such areas in the social development literature, specifically the longitudinal trajectories of social competence and the role of social competence

Research regarding social competence is growing rapidly, but there remain a few aspects of social development that merit more attention. The presented pair of studies were planned to address two such areas in the social development literature, specifically the longitudinal trajectories of social competence and the role of social competence in second language development in language minority (LM) students. The goal of the first investigation was to examine the developmental trends of interpersonal skills (IS) across the early childhood and elementary school years in a nationally representative, U.S. sample. The goal of the second study was to examine whether differing trajectories of IS development in language minority children in the U.S. were related to their language and literacy (LL) skills at grade 5. Both studies utilized data from the Early Childhood Longitudinal Study - Kindergarten Class of 1998-1999 and modeled ratings of children's IS at five time points between fall of kindergarten and spring of fifth grade using latent class growth analyses in Mplus. In study 1, the best model was a quadratic two-class latent class growth analysis. Trajectory class 1 was a higher-level path with a marginally significant non-linear shape and class 2 was a primarily stable, moderate level path with a slight, non-significant increase over time. The same pattern of results emerged for both boys and girls separately as with the combined-sex model, and in all three final models the proportion of the sample in the higher-level class was greater than the moderate-level class. In study 2 a sample of U.S. children whose primary language at home was something other than English was utilized. LL at the start of kindergarten and sex were included as covariates and LL in fifth grade as a distal outcome. The best model for the data was a cubic two-class latent class growth analysis. Class 1 followed a higher-level path with small, incremental change over time and class 2 was a moderate-level path with greater undulation. Both covariates significantly predicted latent class and language and literacy scores at grade 5 differed significantly across classes.
ContributorsDiDonato, Alicia (Author) / Wilcox, M. Jeanne (Thesis advisor) / Bradley, Robert (Committee member) / Wilkens, Natalie (Committee member) / Valiente, Carlos (Committee member) / Arizona State University (Publisher)
Created2014
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Description
In recent years, educational policy in the United States has focused extensively on the importance of providing American students with quality training in science, technology, engineering, and mathematics fields (STEM). It is generally agreed upon that STEM fields will provide a large number of the future economy's jobs, and that

In recent years, educational policy in the United States has focused extensively on the importance of providing American students with quality training in science, technology, engineering, and mathematics fields (STEM). It is generally agreed upon that STEM fields will provide a large number of the future economy's jobs, and that America needs more students to be adept in STEM skills in order for the country to remain a global economic leader. Discourse has also centered around the gender disparity in these fields; even though women have surpassed men in overall college degree attainment over the last couple decades, there are far fewer women than men in many STEM majors and occupations. STEM and gender inequality has been studied extensively, and the U.S. Department of Education is continuing its research efforts to understand the factors that lead women to choose STEM field with the aim of enlarging the pool of students enter STEM fields. In 2009, the department began a longitudinal study that followed 9th graders into their college years. This data set (the HLS:09) was used in order to assess gender disparities in STEM with a recent, nationally representative sample. Logistic Regression analysis was used in order to identity social variables that interact with gender to predict whether or not a student would choose a STEM major upon entering college. The results of the analysis are considered through a critical lens and discussion of how the social hierarchy of fields of work through occupational income and cultural prestige (i.e. when presidential administrations promote STEM education due to job growth in STEM industries) reproduces inequality through constraining students' choices in college majors and work fields whether or not gender equality is realized.
ContributorsGorry, Lindsey Elaine (Author) / LePore, Paul (Thesis director) / Wilkens, Natalie (Committee member) / Department of Psychology (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / School of Social Transformation (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05