Bowling Green State University

About: Bowling Green State University is a education organization based out in Bowling Green, Ohio, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8315 authors who have published 16042 publications receiving 482564 citations. The organization is also known as: BGSU.

Effects of poverty and quality of the home environment on changes in the academic and behavioral adjustment of elementary school-age children.

Abstract: Examined the effects of poverty and the quality of the home environment on changes in the academic and behavioral adjustment of elementary school-age children. Analyses are based on a subset of children (n = 473) from a national data set. The children completed an academic achievement measure in I986 (when they were 5 to 8 years old) and again in 1990. Mothers provided ratings of their children's behavior at the same rime points. Results showed that prior poverty status (number of years in poverty from 1982 to 1985) predicted decreases in math and reading scores and increases in antisocial behavior (from 1986 to 1990). However, number of years in poverty between the 1986 assessment and the 1990 assessment failed to predict changes in adjustment over and above prior poverty status. Quality of the home environment between the two assessments predicted positive changes in adjustment after accounting for poverty status. These effects were independent of child characteristics (i.e., sex, age, and race,) and re...

Interest rate changes and common stock returns of financial institutions: revisited

Abstract: In this paper the interest rate sensitivity of common stock returns of financial firms is re-examined. Considered here are (1) current, anticipated, and unanticipated changes in interest rates; (2) depository and nondepository firms; and (3) three different-maturity interest rate indices. Results lend strong support for a negative effect of both current and unanticipated interest rate changes. Although some exceptions are observed, stock returns of most subsectors of both financial and nonfinancial firms are not sensitive to anticipated interest rate changes. The findings of this study are robust to the choice of a particular model of interest rate expectations.

Effects of advertised human resource management practices on attraction of african american applicants

Abstract: Student members of a national organization of African American engineers (n= 1019) and currently employed African American engineers (n= 303) responded to a hypothetical job advertisement differing by staffing policy (identity-blind vs. identity-conscious), advertised work characteristics (i.e., individual-based vs. team-based), and compensation system characteristics (pay based on individual performance vs. pay based on work-group performance). Both groups of respondents reported being more likely to apply when the staffing policy was identity conscious (i.e., affirmative action) than when it was identity blind (i.e., equal-employment opportunity). However, only the student sample reported being more likely to apply when the advertisement described team-based work instead of individual-based work. Both groups reacted negatively to the combination of individual-based work and group-performance based pay systems.

Energy distance

Abstract: Energy distance is a metric that measures the distance between the distributions of random vectors. Energy distance is zero if and only if the distributions are identical, thus it characterizes equality of distributions and provides a theoretical foundation for statistical inference and analysis. Energy statistics are functions of distances between observations in metric spaces. As a statistic, energy distance can be applied to measure the difference between a sample and a hypothesized distribution or the difference between two or more samples in arbitrary, not necessarily equal dimensions. The name energy is inspired by the close analogy with Newton's gravitational potential energy. Applications include testing independence by distance covariance, goodness-of-fit, nonparametric tests for equality of distributions and extension of analysis of variance, generalizations of clustering algorithms, change point analysis, feature selection, and more. WIREs Comput Stat 2016, 8:27-38. doi: 10.1002/wics.1375