KIDS OR CASH? EXPLORING CHARTER SCHOOL RESPONSES TO DECLINING GOVERNMENT REVENUES

While the literature is extensive on school districts' revenue sources, less research has been done on the impact of donations on school district funds. In this paper, we extend the theoretical literature on crowding out of private donations by government grants for one type of nonprofit firm, namely charter schools. The theoretical model leads us to focus on the key relationships among fundraising effort, enrollment (which is tied to federal and state funding) and donations. Using a dataset on Texas charter schools we adopt a two-stage approach to examine the empirical relationship between changes in nondonor revenues and the donations received by charter schools. Like the extensive empirical estimates of the effects of government grants on donations for other types of nonprofit firms, we find evidence of crowding-out with respect to our sample of charter schools. We also find a significant, positive effect of fundraising on donations with a $1 increase in fundraising associated to a $0.58 increase in donations, a pattern consistent with overinvestment in fundraising. Enrollments exhibit a robust inverse relationship to changes in nondonor revenues. (JEL H00, H32, H50)     

Efficacy,Action, and Support for Reducing Climate Change Risks

A growing body of research demonstrates that believing action to reduce the risks of climate change is both possible (self‐efficacy) and effective (response efficacy) is essential to motivate and sustain risk mitigation efforts. Despite this potentially critical role of efficacy beliefs, measures and their use vary wildly in climate change risk perception and communication research, making it hard to compare and learn from efficacy studies. To address this problem and advance our understanding of efficacy beliefs, this article makes three contributions. First, we present a theoretically motivated approach to measuring climate change mitigation efficacy, in light of diverse proposed, perceived, and previously researched strategies. Second, we test this in two national survey samples (Amazon's Mechanical Turk N = 405, GfK Knowledge Panel N = 1,820), demonstrating largely coherent beliefs by level of action and discrimination between types of efficacy. Four additive efficacy scales emerge: personal self‐efficacy, personal response efficacy, government and collective self‐efficacy, and government and collective response efficacy. Third, we employ the resulting efficacy scales in mediation models to test how well efficacy beliefs predict climate change policy support, controlling for specific knowledge, risk perceptions, and ideology, and allowing for mediation by concern. Concern fully mediates the relatively strong effects of perceived risk on policy support, but only partly mediates efficacy beliefs. Stronger government and collective response efficacy beliefs and personal self‐efficacy beliefs are both directly and indirectly associated with greater support for reducing the risks of climate change, even after controlling for ideology and causal beliefs about climate change.     

Efficacy Foundations for Risk Communication: How People Think About Reducing the Risks of Climate Change

Believing action to reduce the risks of climate change is both possible (self‐efficacy) and effective (response efficacy) is essential to motivate and sustain risk mitigation efforts, according to current risk communication theory. Although the public recognizes the dangers of climate change, and is deluged with lists of possible mitigative actions, little is known about public efficacy beliefs in the context of climate change. Prior efficacy studies rely on conflicting constructs and measures of efficacy, and links between efficacy and risk management actions are muddled. As a result, much remains to learn about how laypersons think about the ease and effectiveness of potential mitigative actions. To bring clarity and inform risk communication and management efforts, we investigate how people think about efficacy in the context of climate change risk management by analyzing unprompted and prompted beliefs from two national surveys (N = 405, N = 1,820). In general, respondents distinguish little between effective and ineffective climate strategies. While many respondents appreciate that reducing fossil fuel use is an effective risk mitigation strategy, overall assessments reflect persistent misconceptions about climate change causes, and uncertainties about the effectiveness of risk mitigation strategies. Our findings suggest targeting climate change risk communication and management strategies to (1) address gaps in people's existing mental models of climate action, (2) leverage existing public understanding of both potentially effective mitigation strategies and the collective action dilemma at the heart of climate change action, and (3) take into account ideologically driven reactions to behavior change and government action framed as climate action.     

Trading coupons: completing the World Cup football sticker album

The agonies and the ecstasies of the World Cup are over for another four years. England supporters may not wish to be reminded of Ronaldo's spot-kick, and we are loath to add to pain. But one set of players who probably did very well from the competition was Panini, the company which produced the official 2006 World Cup football sticker album—and, more importantly, the collectable stickers which go inside it. Kevin Hayes and Ailish Hannigan tried to fill up their albums.     

The Implications of Learning Styles for Training and Development: A Discussion of the Matching Hypothesis

This review paper examines the effect of matching and mismatching learning style and learning activity and matching and mismatching trainer and trainee learning style on learning achievement. It also explores the possibility of creating a match by promoting learner adaptability or modifying the trainer's training style. The implications of this discussion for training and development are considered.     

Product partition latent variable model for multiple change-point detection in multivariate data

The product partition model (PPM) is a well-established efficient statistical method for detecting multiple change points in time-evolving univariate data. In this article, we refine the PPM for the purpose of detecting multiple change points in correlated multivariate time-evolving data. Our model detects distributional changes in both the mean and covariance structures of multivariate Gaussian data by exploiting a smaller dimensional representation of correlated multiple time series. The utility of the proposed method is demonstrated through experiments on simulated and real datasets.     

“Hookups”: Characteristics and correlates of college students' spontaneous and anonymous sexual experiences

This study focused on a specific risky practice common among contemporary college students: the hookup. Hookups are defined as a sexual encounter which may or may not include sexual intercourse, usually occurring on only one occasion between two people who are strangers or brief acquaintances. The aim of this study was to determine the relative importance of a variety of social and psychological predictors in understanding differences among undergraduate students who had never hooked up, those who had hooked up without sexual intercourse, and those who had hooked up with sexual intercourse. Analyses revealed that, as predicted, social, individual, and relational psychological variables helped to explain the variance among college students' varied hookup experiences. By examining the full range of sexual involvement characteristic of the casual sexual phenomenon of hooking up within a multivariate model, we were able to achieve a more differentiated understanding of college students' casual sexual experimentation.     

Influence of Perceived Economic Strain on the Relationship Between Caregiver BMI and Child BMI

As maternal BMI is a risk factor for higher child BMI, this exploratory study investigated perceived economic strain as a protective factor modifying this well-established relationship. Primary low-income female caregivers (n = 432) of preschoolers ages 3–5 years were interviewed using the Family Economic Strain Scale. Caregiver and child heights and weights were measured. Significant differences were found in perceived economic strain between normal versus underweight, overweight, and obese caregivers. A moderating effect approaching significance was noted such that at low levels of reported economic strain, caregiver BMI classification had no effect on child BMI z-score for normal weight, overweight, or obese caregivers. This study is the first to demonstrate that reduced perception of economic strain may act to buffer the impact of maternal overweight/obesity on child weight status. Given this biologically strong relationship, the potential for any modifiable factor to be detected is encouraging. Further collaborative research between economists and family resiliency researchers is suggested.