Latin hypercube sampling with multidimensional uniformity

Complex models can only be realized a limited number of times due to large computational requirements. Methods exist for generating input parameters for model realizations including Monte Carlo simulation (MCS) and Latin hypercube sampling (LHS). Recent algorithms such as maximinLHS seek to maximize the minimum distance between model inputs in the multivariate space. A novel extension of Latin hypercube sampling (LHSMDU) for multivariate models is developed here that increases the multidimensional uniformity of the input parameters through sequential realization elimination. Correlations are considered in the LHSMDU sampling matrix using a Cholesky decomposition of the correlation matrix. Computer code implementing the proposed algorithm supplements this article. A simulation study comparing MCS, LHS, maximinLHS and LHSMDU demonstrates that increased multidimensional uniformity can significantly improve realization efficiency and that LHSMDU is effective for large multivariate problems.     

Turkey’s Twitter public diplomacy: Towards a “new” cult of personality

This study examined how Turkey uses social media as a tool for public diplomacy and how the state’s soft-power efforts have recently changed on the global stage. The researchers constructed a dataset of 2769 Twitter posts by the Turkish government’s most influential public diplomacy accounts. The analyses revealed that the focus of Turkey’s Twitter public diplomacy has become concentrated on the Middle East and North Africa (MENA) region and is thematically focused on the political values embodied by the Turkish president. The findings suggest that public diplomacy remains to be the diplomacy of the government, not of the public, and social media is used as just another tool for propaganda, not as a means of engagement with foreign publics. Further, the findings indicate the emergence of a “new” cult of personality in public diplomacy and point out the instrumental role of social media in changing the dynamics of leader-follower relationship. The study contributes to public relations theory and practice by advancing the burgeoning public diplomacy scholarship at the intersection of social media and relational approaches.     

Trajectories of Interracial Heterosexual Couples: A Longitudinal Analysis of Relationship Quality and Separation

Minimal research has examined interracial couples’ relationship satisfaction and dissolution patterns over time. Using dyadic data across 8 years, we examined potential differences in relationship quality trajectories through latent growth curve modeling with 1,336 couples as well as differential risks for relationship dissolution through logistic regression between same‐race and interracial relationships using a different subset of 2,370 couples. Results indicated that women in interracial relationships were significantly lower in initial relationship quality than women in same‐race relationships. Further, interracial couples of Black‐Hispanic partnerings were twice as likely to separate across 8 years than same‐race couples. These results suggest that despite interracial relationships not substantively differing from same‐race couples in trajectories of relationship quality, specific Black‐Hispanic interracial couples are at a higher risk of eventual separation.     

One does not simply meme about organizations: Exploring the content creation strategies of user-generated memes on Imgur

This study explores how online publics are engaging with organizations by creating and sharing brand-related content online, outside corporate-controlled communication environments. This research employs a quantitative content analysis of memes shared on the social networking site Imgur to reveal how user-generated content conveys meaning about organizations. The analysis reveals brand-centric memes are generally classified as orphan memes, or memes that have distinct textual and visual characteristics separating them from established or emerging meme families. Memes about organizations are neither an overwhelming reflection of biting criticism or support, but rather a reflection of online public engagement with organizations that primarily use humor and textual brand features (or quiddities) to convey their commitment and satisfaction with the organization and unite meme families.     

The Dyadic Effects of Supportive Coparenting and Parental Stress on Relationship Quality Across the Transition to Parenthood

The transition to first‐time parenthood can be challenging for couples. Using a sample of 848 ethnically diverse couples from the Fragile Families and Child Wellbeing Study across the first 3 years of parenthood, we investigated the longitudinal and dyadic associations of each parents’ parental stress, supportive coparenting, and relationship quality. Results from an actor–partner interdependence model indicated that supportive coparenting significantly predicted higher relationship quality for both mothers and fathers. Fathers’ supportive coparenting significantly buffered the effects of mothers’ parental stress on relationship quality. Also, the unique dyadic contexts of each parents’ supportive coparenting, and also both partners’ parental stress were significantly associated with relationship quality. Clinical implications from these findings are discussed through commonly used clinical theories.     

The last mile of the way: understanding caregiving in African American families at the end-of-life

This research is based on in-depth ethnographic interviews and focus groups with 88 African American family caregivers from various regions of the United States during a stressful time in their family development--caregiving at the end-of-life--and the grieving during the aftermath. The study employed a stratified purposeful sampling strategy. Subjects were African Americans from the Northern, Southern, and Midwestern United States. Formal care is complicated by the distrust that many African Americans hold toward the health care system, which has resulted from years of exclusion, racism and discrimination. The findings highlight the importance of hearing from African American families to gain an understanding of what services, including family therapy and other psychotherapy, they will need during this process.     

Postconflict Reconciliation: Intergroup Forgiveness and Implicit Biases in Northern Ireland

Even after a conflict has formally ended, there is still a need for postconflict reconciliation and the building of mutual forgiveness and trust between communities. This article addresses psychological processes crucial to moving beyond a history of violent sectarian conflict in Northern Ireland. We investigated the predictors of intergroup forgiveness, in terms of intergroup emotions, infrahumanization, empathy, and intergroup contact. Intergroup trust and measures of implicit intergroup bias were also explored in this area of real intergroup conflict. The results are discussed in terms of their implications for postconflict reconciliation in Northern Ireland and other conflict areas.     

Emotions into Disorder: Anxiety Disorders and the Social Meaning of Fear

This article explores what we refer to as norm-stimuli-state discrepancies, which are disparities between people's physical-emotional responses to emotional cues and the normative meanings of those cues. Drawing on forty qualitative interviews and participant observation research at support groups, we show that people with anxiety disorders describe two forms of norm-stimuli-state discrepancies. The first form involves discrepancies of type, in which people label fearful emotional states as deviant for being caused by the “wrong” stimuli. The second involves discrepancies of intensity, in which people label fearful states as deviant for involving feelings or displays of “too much” anxiety in response to an “appropriate” stimuli. The article further addresses the role of stimuli in prompting treatment seeking. Unexpected and intense emotional distress in combination with the falling away of external cues—which we refer to as “stimuli-less fear”—serve as a critical juncture on the path to an anxiety disorder diagnosis.     

Evaluating surrogate variables for improving microarray multiple testing inference

The use of surrogate variables has been proposed as a means to capture, for a given observed set of data, sources driving the dependency structure among high-dimensional sets of features and remove the effects of those sources and their potential negative impact on simultaneous inference. In this article we illustrate the potential effects of latent variables on testing dependence and the resulting impact on multiple inference, we briefly review the method of surrogate variable analysis proposed by Leek and Storey (PNAS 2008; 105:18718-18723), and assess that method via simulations intended to mimic the complexity of feature dependence observed in real-world microarray data. The method is also assessed via application to a recent Merck microarray data set. Both simulation and case study results indicate that surrogate variable analysis can offer a viable strategy for tackling the multiple testing dependence problem when the features follow a potentially complex correlation structure, yielding improvements in the variability of false positive rates and increases in power.