One Person—No Vote; One Vote; Two Votes: Voting Methods, Ballot Types, and Undervote Frequency in the 2000 Presidential Election

Objectives . Political science long ignored the actual mechanics of voting—until the 2000 presidential contest. This research note offers a systematic empirical inquiry into the potential effects of various voting methods and electorate–specific variables on the rate at which citizens register a preference via the act of voting. Methods . Voting methods were analyzed in relation to the rate of undervotes recorded in Georgia's 159 counties during the 2000 general election using a set of multivariate models. Results . Lever machines and fill in the oval optical scan ballots are associated with lower rates of undervoting. Counties with large numbers of new registrants, lower education levels, and a higher proportion of African–American voters were found to have higher error rates. Conclusions . The results of this study provide strong evidence that voting methods and ballot types, as well as electorate–specific characteristics, are key factors in determining the error rate associated with the process of voting at the county level.     

Promising practices and strategies for using trauma-informed child welfare practice to improve foster care placement stability: a breakthrough series collaborative

This paper will provide information on a recent Breakthrough Series Collaborative (BSC) conducted by the National Child Traumatic Stress Network on Using Trauma-Informed Child Welfare Practice to Improve Foster Care Placement Stability. Information on this particular BSC will be provided, followed by initial findings gathered from an evaluation of the BSC and metrics gathered by each of the nine participating teams throughout the BSC process. Specific trauma-informed promising strategies adopted by teams are presented along with recommendations for next steps.     

Concept guided risk assessment: Promoting prediction and understanding

This article presents a concept-guided approach to the assessment of risk in the life situations of children alleged to be maltreatment victims. This concept-guided risk assessment is theoretically based and is the first to use a nomological hierarchy which can yield itself to systematic testing for construct validity. Data were collected on 1199 cases referred for investigations of child maltreatment. Reliability was examined by applying Cronbach's alpha coefficient to the 25 risk features and the 18 risk category constructs within the seven risk areas. Convergent validity coefficients for seven risk area constructs and eighteen risk category constructs were computed and structural validity was examined using an analysis technique adapted from the multitrait-multimethod technique of Campbell and Fiske (1959). Predictive validity was assessed using a multivariate measure assessing rated risk, seriousness, and concern. In general, the results support construct validity. Improvements are needed in assessments of child vulnerability and caregiver stress. The overall psychometric evidence, combined with the model's hierarchical and theoretical nature, suggests a promising direction for future research on understanding and preventing child maltreatment.     

Building Reputations: The Role of Alliances in the European Business School Scene

How should businesses best choose foreign partners as they seek to internationalise? We use reputation theory to examine this question. Building reputation is a key aim on the European Business School scene, and this article starts by using more than 2,000 articles written by European academics in top quality journals to update the LRP research reputation rankings of European Schools. We then look at the way international research collaboration takes place, and find that alliances between schools are far from random. It seems that academics from US and European schools are strongly attracted to form alliances with one another, and the choice process appears to be consistent with reputation theory that suggests US schools seek out the most reputable foreign partners. Moreover, the “charmed circle” of high-reputation partners appears to be defined on a country-to-country basis rather than from a whole-Europe perspective. The lessons for managers in internationalising industries are that international alliance choice must include a reputation perspective, with great care being paid to the exact nature of the foreign partner's achievements.     

Managing big data in the retail industry of Singapore: Examining the impact on customer satisfaction and organizational performance

Much of the research on big data analytics has been centered on technical or system development. Research has been carried out on the usage of big data analytics to understand customer relationships and experience, amongst others. Still, there is a lack of research in the retail industry considering big data management, examining the impact on customer satisfaction and organizational performance in the retail sector. Retailers explore analytics to gain a unified picture of their customers and operations across the store or online channels and make strategic decisions contributing to the growth of the retail industry. Thereof, this study has been conducted by majorly focusing on the Singapore retail industry to clarify the feasibility of big data management analytics. Quantitative research method was employed involving 500 participants from the retail industry of Singapore. The results of the study stated that amongst the different big data analytics utilized within the retail industry of Singapore, social media analytics had been majorly answered by the participants. Future researchers can study about the upcoming retail trends in Singapore and how the effects of big data analysis changed in the past few years and deal with the unexpected future recessions in the retail industry within Singapore.