Footprints in the Sand: Personal,Psychological, and Relational Profiles of Religious,Spiritual, and Atheist LGB Individuals

The present study offers a comparison of the demographic features and lived experiences of lesbian, gay, and bisexual (LGB) individuals with religious, spiritual, or atheist (R/S/A) belief systems. In this sample of 212 participants, the relationship of participants’ R/S/A beliefs to personal variables (e.g., age, gender, race), mental health variables (e.g., life satisfaction, psychological distress, internalized heterosexism, self-esteem), and relational variables (e.g., outness, connection to LGBTQ communities) were assessed. Correlational analyses indicated that level of R/S/A belief was unrelated to self-esteem, life satisfaction, or psychological distress; however, greater religious belief was correlated positively and significantly with internalized heterosexism and outness as LGB. To test the interactions of R/S/A beliefs and categorical variables of interest (e.g., race), log-linear analyses with follow-up chi-square tests were conducted. Findings suggested more similarities than differences for LGB people across R/S/A systems of belief. Limitations and implications for future research are discussed.     

Assessing Changes in Household Socioeconomic Status in Rural South Africa, 2001–2013: A Distributional Analysis Using Household Asset Indicators

Understanding the distribution of socioeconomic status (SES) and its temporal dynamics within a population is critical to ensure that policies and interventions adequately and equitably contribute to the well-being and life chances of all individuals. This study assesses the dynamics of SES in a typical rural South African setting over the period 2001–2013 using data on household assets from the Agincourt Health and Demographic Surveillance System. Three SES indices, an absolute index, principal component analysis index and multiple correspondence analysis index, are constructed from the household asset indicators. Relative distribution methods are then applied to the indices to assess changes over time in the distribution of SES with special focus on location and shape shifts. Results show that the proportion of households that own assets associated with greater modern wealth has substantially increased over time. In addition, relative distributions in all three indices show that the median SES index value has shifted up and the distribution has become less polarized and is converging towards the middle. However, the convergence is larger from the upper tail than from the lower tail, which suggests that the improvement in SES has been slower for poorer households. The results also show persistent ethnic differences in SES with households of former Mozambican refugees being at a disadvantage. From a methodological perspective, the study findings demonstrate the comparability of the easy-to-compute absolute index to other SES indices constructed using more advanced statistical techniques in assessing household SES.     

Wiki-worthy: collective judgment of candidate notability

The use of socio-technical data to predict elections is a growing research area. We argue that election prediction research suffers from under-specified theoretical models that do not properly distinguish between ‘poll-like’ and ‘prediction market-like’ mechanisms understand findings. More specifically, we argue that, in systems with strong norms and reputational feedback mechanisms, individuals have market-like incentives to bias content creation toward candidates they expect will win. We provide evidence for the merits of this approach using the creation of Wikipedia pages for candidates in the 2010 US and UK national legislative elections. We find that Wikipedia editors are more likely to create Wikipedia pages for challengers who have a better chance of defeating their incumbent opponent and that the timing of these page creations coincides with periods when collective expectations for the candidate's success are relatively high.     

Differing Relationship Outcomes When Sex Happens Before,On, or After First Dates

While recent studies have suggested that the timing of sexual initiation within a couple's romantic relationship has important associations with later relationship success, few studies have examined how such timing is associated with relationship quality among unmarried couples. Using a sample of 10,932 individuals in unmarried, romantic relationships, we examined how four sexual-timing patterns (i.e., having sex prior to dating, initiating sex on the first date or shortly after, having sex after a few weeks of dating, and sexual abstinence) were associated with relationship satisfaction, stability, and communication in dating relationships. Results suggested that waiting to initiate sexual intimacy in unmarried relationships was generally associated with positive outcomes. This effect was strongly moderated by relationship length, with individuals who reported early sexual initiation reporting increasingly lower outcomes in relationships of longer than two years.     

Patterns of Nonverbal Behavior Associated with Truth and Deception: Illustrations from Three Experiments

The digital age has brought with it new and powerful computer-based methods of analyzing heretofore elusive patterns of nonverbal behavior. C-BAS (Meservy 2010) is a computer-assisted behavioral observation tool for identifying and tracking nonverbal behaviors from video. THEME (Magnusson, The hidden structure of interaction: from neurons to culture patterns, IOS Press, Amsterdam, pp 4–22, 2005) is a software program that discovers patterns among discrete events in time-ordered data. Together, these tools enable more precise measurement and analysis of nonverbal behavioral dynamics. Applications to three corpora derived from interpersonal deception experiments reveal unique nonverbal patterns that distinguish deceptive from nondeceptive interactions. The first and second experiments produced serial, hierarchically related patterns of behaviors that differed in length and complexity between truthful and deceptive participants during interviews about a theft and cheating, respectively. The third experiment produced differential patterns by and among group members completing a task. Deceivers were inclined toward strategic initiations and interactional control, whereas suspicious group members adopted a more passive, possibly watchful stance. Discovery of these patterns challenges the prevailing view that nonverbal behaviors are too faint and inconsistent to identify deceptive communication. Results have numerous implications regarding the following: the development of new measurement tools locating significant effects of nonverbal behaviors, support for theory that coherent and repetitive relationships exist within and among interactants’ communication, demonstration of the role of nonverbal behaviors in deceptive communication and the dynamic and strategic nature of deception.     

Levels of interventions for MFTs working with family businesses

Family businesses (FBs) are a significant population in the world and therefore part of most practicing marriage and family therapists (MFTs) clientele; however, little is mentioned about FBs in the training of MFTs. This article offers some guidance to practicing MFTs who service this population, as well as MFTs who wish to expand their practice into a focused consultation practices with FB systems. This article uses Doherty's Levels of Family Involvement Model as a road map for MFTs to organize the vast amount of literature on FB systems as well as the many ways in which MFTs might serve FBs. We also offer suggestions for the necessary skills, experiences, and levels of engagement required at each level of intervention provided by MFTs.     

Birth Outcome Measures and Infant Mortality

Recent studies have proposed alternative birth outcome measures as means of assessing infant mortality risk; nevertheless, there hasn’t yet been an integrated analysis of these approaches. We review 14 strategies, including various combinations of birth weight, gestational age, fetal growth rate, and Apgar scores—as predictors of early neonatal, late neonatal, and postneonatal mortality, and infant mortality. Using the NCHS linked birth/infant death file for 2001, we construct multivariate logit models and assess the associations between each of the 14 key birth outcome measures and four mortality outcomes. We find that all evaluated birth outcome measures are strong predictors, but Apgar scores are the strongest among all models for all outcomes, independent of birth weight and gestational age. Apgar scores’ predictive power is stronger for Mexican-, white-, and female-infants than for black- and male-infants. Second, all birth outcome measures remain significantly associated with mortality, but their predictive power reduces drastically over time. These findings suggest a rule of thumb for predicting infant mortality odds: when available, Apgar scores should always be included along with birth weight (or LBW status) and gestational age. Additionally, these findings argue for the continued study of low birthweight, gestational age, and Apgar scores as independently salient health outcomes.     

Intergenerational Remote Exergaming with Family and Friends for Health and Leisure

Global guidelines for physical activity are not being met by most of the world’s youths, adults, and older adults. Family and friends who engage in physical activity across generations derive emotional, social, cognitive, and physical benefits from their interaction. Youths depend on adult assistance to travel long distances, adults are encumbered with obligations to work, and older adults often live more than 200 miles from their extended families. Intergenerational physical activity is difficult because generations are distant and lead busy lifestyles. Remotely played exergames can connect family and friends for intergenerational physical activity. Internet exergaming can help to make physical activity convenient and enjoyable as well as eliminate the effect of distance on playing with family and friends.