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.

Adjustment of children born to teenage mothers: The contribution of risk and protective factors.

Abstract: This study was undertaken to examine the contribution of risk and protective factors in the adjustment of children born to teenage mothers. Information from a national data set was obtained on a subset of 721 children aged 8-15 and their mothers. Results showed that several risk factors (e.g., poverty status, urban residence, mother's self-esteem) were modestly related to children's academic and behavioral adjustment. Exposure to increasing numbers of risk factors was associated with greater vulnerability to adjustment problems. Several protective factors (e.g., intelligence, self-esteem, quality of the home environment) were also modestly related to children 's adjustment and enhanced the prediction of adjustment above and beyond the contribution of the risk factors. For children exposed to risk, the presence of the protective factors reduced their vulnerability to academic and behavioral difficulties.

Integrating the iPod Touch in K–12 Education: Visions and Vices

Abstract: Advocates of ubiquitous computing have long been documenting classroom benefits of one-to-one ratios of students to handheld or laptop computers. The recent sophisticated capabilities of the iPod Touch, iPhone, and iPad have encouraged further speculation on exactly how K–12 teaching and learning might be energized by such devices. This paper summarizes the research-to-date on mobile learning for K–12 students, and then delineates specific features and applications available on the iPod Touch that might impact student learning across the curricula. Finally, caveats are offered regarding the introduction and assimilation of these handheld computers into K–12 schools.

The Relation between Job Level and Job Satisfaction

Abstract: Two studies examined the relation between job level and job satisfaction. Study 1 was a metaanalysis of the relation between job level and job satisfaction using data drawn from 35 independent samples (N= 18,534). It was found that as job level increased, so did job satisfaction. Several possible moderators of this relation were identified. Study 2 was a primary study of the relation between job level and job satisfaction using 4 measures of job level and 5 facets of job satisfaction (N = 530 in 4 hospitals). There was a high degree of convergence among the measures of job level and a consistently positive relation between the job level and job facet satisfaction measures. These studies suggest that the relation between job level and job satisfaction is positive across most operationalizations of the 2 constructs and that other moderators should be investigated to account for the large residual variance in effect sizes identified.

Sovereign Bonds and the "Democratic Advantage": Does Regime Type Affect Credit Rating Agency Ratings in the Developing World?

Abstract: The importance of sovereign bond ratings has grown recently as assessments by credit rating agencies (CRAs) influence the cost of capital Understanding how CRAs determine country ratings is difficult based on the secretive nature of these agencies Controlling for the common explanations in the literature, we use panel data and interviews to investigate the role of the “democratic advantage” and other determinants on bond ratings set by Moody's Investor Services, Standard and Poor's, and Fitch Ratings for fifty developing countries from 1987 to 2003 We find that regime type and most other political factors have little effect on bond raters Instead, trade, inflation, growth, and bond default strongly affect sovereign ratings The message for policymakers in developing countries is that factors that support bond repayment are most useful for enhancing CRA ratingsThe authors' names are listed alphabetically to indicate equal contribution For comments on previous versions of this article, we are grateful to Matthias Kaelberer, Sebastian Saiegh, Tim Sinclair, Mike Tomz, Paul Vaaler, Jeff Wooldridge, as well as panelists and participants of the ISA 2006 We thank Nate Jensen, Layna Mosley, and Andy Sobel for helping us make contacts with bond raters We also thank Tai Scelfo for her research assistance We greatly acknowledge the generosity of the bond raters for giving us insights on the ratings process Portions of this research were supported by a 2005 Small Grant by the American Political Science Association