Examining the interplay of an organization's prior reputation,CEO's visibility,and immediate response to a crisis

In one of only a few crisis communication research studies taking a relational approach, examining the effects of a company's prior reputation in publics’ responses to a given crisis situation, Lyons and Cameron (2004) found that both reputation and response profoundly affected publics’ attitude and behavioral intentions toward an organization involved in a crisis situation, using hypothetical, fictitious organizations and crises. Using actual organizations and crises, our research team designed a 2 (reputation: good vs. bad) × 2 (crisis response: apologetic vs. defensive) × 2 (CEO visibility in immediate crisis response: visible vs. invisible) within-subjects experiment (N = 102) to examine the variances in stakeholders’ attitudes and behavioral intentions toward a company after being exposed to online video that delivered a corporate crisis response. Findings were counter-intuitive: a defensive response to a crisis is as acceptable to crisis stakeholders as an apologetic response if the CEO is visible (or audible) in the response and if the pre-crisis company-stakeholder reputation is positive. Good reputation, defensive crisis response and CEO visibility in immediate response to a crisis resulted in the best stakeholder attitudes and purchase intentions.     

Effects of Gambling-Related Cues on the Activation of Implicit and Explicit Gambling Outcome Expectancies in Regular Gamblers

The current research examined whether the presentation of gambling-related cues facilitates the activation of gambling outcome expectancies using both reaction time (RT) and self-report modes of assessment. Gambling outcome expectancies were assessed by having regular casino or online gamblers (N = 58) complete an outcome expectancy RT task, as well as a self-report measure of gambling outcome expectancies, both before and after exposure to one of two randomly assigned cue conditions (i.e., casino or control video). Consistent with hypotheses, participants exposed to gambling-related cues (i.e., casino cue video condition) responded faster to positive outcome expectancy words preceded by gambling prime relative to non-gambling prime pictures on the post-cue RT task. Similarly, participants in the casino cue video condition self-reported significantly stronger positive gambling outcome expectancies than those in the control cue video condition following cue exposure. Activation of negative gambling outcome expectancies was not observed on either the RT task or self-report measure. The results indicate that exposure to gambling cues activates both implicit and explicit positive gambling outcome expectancies among regular gamblers.     

Building,Engaging, and Sustaining a Continuum of Care From Harm Reduction to Recovery Support: The Rutgers Alcohol and Other Drug Assistance Program

Since 1983, the focus of the Rutgers Alcohol and Other Drug Assistance Program (ADAP) has been developing policies, training staff to identify students at risk, developing and implementing evidence-based screening and brief interventions, providing short-term counseling by professionals trained in alcohol and other drug abuse to assist students beyond brief interventions, identifying effective treatment for college students, developing a campus recovery program, on-campus recovery housing, and other supports for students in recovery. This article presents a case study of the Rutgers ADAP program, of building and sustaining a program committed to engaging students in both evidence-based risk reduction interventions and an on-campus recovery community given their stage of change and motivation to make changes. Historical milestones are described as part of a creative model for intervention. We identify the challenges of integrating substance abuse recovery into campus mental health programs, and of integrating recovery into other university communities.     

Apps-olutely Perfect! Apps to Support Common Core in the History/Social Studies Classroom

The inclusion of technology in the classroom is an increasingly important feature of effective instruction. The implementation of Common Core Standards in many states also requires teachers to consider new pedagogical strategies to support meaningful learning. This article explores the intersection between technology demands and curricular change by examining apps that can be used to support Common Core State Standards instruction in history/social studies. Specifically, the authors highlight several apps that they presented at a professional development workshop for six to twelve history/social studies teachers and discuss the teachers' feedback regarding the strengths and limitations of apps to support their instruction. Conclusions are drawn and recommendations for history/social studies teachers using apps in the classroom are provided.     

Application of extreme value theory to the bec family of distributions

Arnold and Strauss (1988) derived a family of bivariate life distributions having the property that the conditional distributions are exponential. Asymptotic distributions for the marginal and bivariate extremes for this family of distributions are derived employing the asymptotic theory of extreme order statistics.     

Inferences on the lognormal mean for complete samples

In many engineering problems it is necessary to draw statistical inferences on the mean of a lognormal distribution based on a complete sample of observations. Statistical demonstration of mean time to repair (MTTR) is one example. Although optimum confidence intervals and hypothesis tests for the lognormal mean have been developed, they are difficult to use, requiring extensive tables and/or a computer. In this paper, simplified conservative methods for calculating confidence intervals or hypothesis tests for the lognormal mean are presented. In this paper, “conservative” refers to confidence intervals (hypothesis tests) whose infimum coverage probability (supremum probability of rejecting the null hypothesis taken over parameter values under the null hypothesis) equals the nominal level. The term “conservative” has obvious implications to confidence intervals (they are “wider” in some sense than their optimum or exact counterparts). Applying the term “conservative” to hypothesis tests should not be confusing if it is remembered that this implies that their equivalent confidence intervals are conservative. No implication of optimality is intended for these conservative procedures. It is emphasized that these are direct statistical inference methods for the lognormal mean, as opposed to the already well-known methods for the parameters of the underlying normal distribution. The method currently employed in MIL-STD-471A for statistical demonstration of MTTR is analyzed and compared to the new method in terms of asymptotic relative efficiency. The new methods are also compared to the optimum methods derived by Land (1971, 1973).     

Gendered Congregations,Gendered Service: The Impact of Clergy Gender on Congregational Social Service Participation

Using data from the 1998 National Congregations Study, I present empirical evidence that shows that the gender of a congregation's leadership makes a difference in the likelihood that a congregation will participate in a social service programme. The results from binary logistic regression indicate that the odds of congregations with women head clergy participating in a social service programme are four times greater than those with men head clergy. In addition, as the percentage of women on a congregation's governing board increases the probability that a congregation will participate in a service project also increases. The specific types of social service programmes a congregation pursues also differ by gender of leadership, with women‐led congregations significantly more likely to pursue service projects that could be labelled feminine while avoiding programmes that are clearly feminist. To explain this gendered behaviour I incorporate Acker's (1990 ) theory of gendered organizations.     

On the asymptotic distribution of cramer-von mises one-sample test statistics under an alternative

The asymptotic normality of the Cramer-von Mises one-sample test statistic and one of its variants under an alternative cdf is demonstrated. The derivation herein is unique in that it does not require knowledge of the theory of weak convergence of probability measures defined on metrized function spaces, and thus is accessible to a broader class of students and practitioners.