Best practice in couple relationship education

Relationship education is widely available to couples and is intended to reduce the prevalence of relationship distress, divorce, and the associated personal and social costs. To realize the potential benefits of couple relationship education, it needs to be evidence-based, offered in ways that attract couples at high-risk for relationship problems, and focused on factors that put couples at high-risk for future relationship problems.     

Using "short" interrupted time-series analysis to measure the impacts of whole-school reforms. With applications to a study of accelerated schools

The present article introduces a new approach for measuring the impacts of whole-school reforms. The approach is based on "short" interrupted time-series analysis, which has been used to evaluate programs in many fields. The approach is used to measure impacts on three facets of student performance: (a) average (mean) test scores, which summarize impacts on total performance; (b) the distribution of scores across specific ranges, which helps to identify where in the distribution of student performance impacts were experienced; and (c) the variation (standard deviation) of scores, which indicates how the disparity in student performance was affected. To help researchers use the approach, the article lays out its conceptual rationale, describes its statistical procedures, explains how to interpret its findings, indicates its strengths and limitations, and illustrates how it was used to evaluate a major whole-school reform--Accelerated Schools.     

Correlates of college student gambling in the United States

The authors report findings from the first national survey of gambling among college students. They collected information from 10,765 students attending 119 scientifically selected colleges included in the 2001 Harvard School of Public Health College Alcohol Study (CAS), which indicated that 42% of responding students gambled in the last school year and 2.6% gambled weekly or more frequently. These findings contradict the widely held opinion based on previous studies that gambling is prevalent among college students. Previous studies used convenience samples that might have overestimated the risk for gambling problems. Male students and students of legal age (> or = 21 y) were more likely than others to gamble. Availability of gambling, measured by the number of types of gambling venues located in the schools' states, influenced their decisions to gamble. The concordance of characteristics associated with both gambling and binge drinking suggested a disposition to take risks that is independent of the risk objects.     

Wealth, Power, and the Internal Revenue Service: Changing IRS Audit Policy through Litigation

Objectives . Although scholars have recognized that the wealth and power of litigants has substantial influence on litigation outcomes, there has been less recognition of the ability of the wealthy to sway agency policy through litigation. I argue that the wealthy, through lawsuits and the outcomes from the litigation, influence Internal Revenue Service (IRS) audits of the wealthy and the less affluent. Methods . I examine IRS state audit rates and use ordinary least squares regression with panel corrected standard errors. Results . I show that wealthy litigants can influence the IRS to decrease audits of the wealthy and increase audits of the less affluent. Conclusions . The wealthy appear to have the ability to influence IRS policy through lawsuits. Litigation can influence agency policy.     

Statistical Inference Based on Pooled Data: A Moment-Based Estimating Equation Approach

We consider statistical inference on parameters of a distribution when only pooled data are observed. A moment-based estimating equation approach is proposed to deal with situations where likelihood functions based on pooled data are difficult to work with. We outline the method to obtain estimates and test statistics of the parameters of interest in the general setting. We demonstrate the approach on the family of distributions generated by the Box-Cox transformation model, and, in the process, construct tests for goodness of fit based on the pooled data.     

Methodological Approaches to Assessing Risk Perceptions Associated with Food-Related Hazards

The psychometric approach developed by Slovic and his co-workers has been effectively used to assess risk perceptions associated with different food-related hazards. However, further examination (using questionnaire data and partial correlation techniques) has indicated that technological hazards are highly differentiated from lifestyle hazards, in terms of both hazard control and knowledge about the hazard. Optimistic bias was also seen to vary between hazards. Further research has focused on a particular hazard, genetic engineering. Risk perceptions associated with genetic engineering are underpinned by ethical concern and questions relating to perceived need for the technology, as well as perceptions of risk or harm. However, increasing the specificity of hazard stimuli was found to alter the factor structure of underlying risk perceptions. The utility of preference mapping procedures in determining individual differences in trust in risk regulators is also discussed.