Follow My Gaze: Face Race and Sex Influence Gaze‐Cued Attention in Infancy

Using the eye gaze of others to direct one's own attention develops during the first year of life and is thought to be an important skill for learning and social communication. However, it is currently unclear whether infants differentially attend to and encode objects cued by the eye gaze of individuals within familiar groups (e.g., own race, more familiar sex) relative to unfamiliar groups (e.g., other race, less familiar sex). During gaze cueing, but prior to the presentation of objects, 10‐month‐olds looked longer to the eyes of own‐race faces relative to 5‐month‐olds and relative to the eyes of other‐race faces. After gaze cueing, two objects were presented alongside the face and at both ages, infants looked longer to the uncued objects for faces from the more familiar‐sex and longer to cued objects for the less familiar‐sex faces. Finally, during the test phase, both 5‐ and 10‐month‐old infants looked longer to uncued objects relative to cued objects but only when the objects were cued by an own‐race and familiar‐sex individual. Results demonstrate that infants use face eye gaze differently when the cue comes from someone within a highly experienced group.     

The reliance on recognition and majority vote heuristics over privacy concerns when selecting smartphone apps among German and US consumers

The smartphone app market is a prime example of a digital market where consumers are tasked with selecting one option among a plethora of alternatives, at times indistinguishable from one another. Building upon findings on information processing and decision-making, we postulate that consumers follow simple (rather than complex) heuristic rules to navigate the app market. In particular, we focus on two such strategies: the recognition heuristic and the majority vote heuristic. App privacy information was also considered as a potentially salient cue in the decision-making process, given the personal data stored on smartphones. Results of a mixed-method design (behavioral analysis and think-aloud protocols) study with German (N?=?18) and US (N?=?25) students find a dominance of the recognition heuristic. Decisions are further supported by majority vote heuristics. Privacy information is largely disregarded, particularly by US participants. Implications for app market design and engagement are discussed.     

High-intensity interval training (HIIT) increases insulin-like growth factor-I (IGF-I) in sedentary aging men but not masters’ athletes: an observational study

Introduction: The aim of this investigation was to examine the impact high-intensity interval training (HIIT) on serum insulin-like growth factor-I (IGF-I) in active compared with sedentary aging men.

Methods: 22 lifetime sedentary (SED; 62?±?2 years) and 17 masters’ athletes (LEX; 60?±?5 years) were recruited to the study. As HIIT requires preconditioning exercise in sedentary cohorts, the study required three assessment phases; enrollment (phase A), following preconditioning exercise (phase B), and post-HIIT (phase C). Serum IGF-I was determined by electrochemiluminescent immunoassay.

Results: IGF-I was higher in LEX compared to SED at baseline (p?=?0.007, Cohen’s d?=?0.91), and phase B (p?=?0.083, Cohen’s d?=?0.59), with only a small difference at C (p?=?0.291, Cohen’s d?=?0.35). SED experienced a small increase in IGF-I following preconditioning from 13.1?±?4.7 to 14.2?±?6.0?μg·dl^?1 (p?=?0.376, Cohen’s d?=?0.22), followed by a larger increase post-HIIT (16.9?±?4.4?μg·dl^?1), which was significantly elevated compared with baseline (p?=?0.002, Cohen’s d?=?0.85), and post-preconditioning (p?=?0.005, Cohen’s d?=?0.51). LEX experienced a trivial changes in IGF-I from A to B (18.2?±?6.4 to 17.2?±?3.7?μg·dl^?1 [p?=?0.538, Cohen’s d?=?0.19]), and a small change post-HIIT (18.4?±?4.1?μg·dl^?1 [p?=?0.283, Cohen’s d?=?0.31]). Small increases were observed in fat-free mass in both groups following HIIT (p?d?=?0.32–0.45).

Conclusions: In conclusion, HIIT with preconditioning exercise abrogates the age associated difference in IGF-I between SED and LEX, and induces small improvements in fat-free mass in both SED and LEX.     

Use of online crowdsourcing platforms for gambling research

Crowdsourcing platforms like Amazon’s Mechnical Turk and Crowdflower have been touted to be a cost-effective way to collect large amounts of behavioural data. Across four large-n studies, gambling-related behaviours, tendencies and traits among participants in these labour markets were examined. In Studies 1 and 2, both conducted on Crowdflower, problem gamblers (as measured by the benchmark Problem Gambling Severity Index) comprised 24.5% and 21.9% of participants, respectively. In Study 3, conducted on Mechanical Turk, problem gamblers comprised 9.0% of participants. In Study 4, a two-wave longitudinal study conducted on Crowdflower, problem gamblers comprised 13.5% of participants in wave one and 14.8% of participants in wave two. In Studies 2 and 3, strong convergent associations were demonstrated across various measures of problem gambling tendencies and general gambling involvement. Furthermore, it was demonstrated that gambling was associated with personality traits (impulsivity, sensation-seeking, self-control), risk attitudes, affect, and behavioural risk-taking consistent with previous research. In Study 4, it was demonstrated that measures of problem gambling have acceptable test-retest reliability. Online crowdsourcing platforms appear to offer access to samples with remarkably high proportions of problem gamblers. However, this characteristic means that such samples are not necessarily representative of gambling tendencies among more general populations.     

Computationally and statistically efficient model fitting techniques

A significant challenge in fitting metamodels of large-scale simulations with sufficient accuracy is in the computational time required for rigorous statistical validation. This paper addresses the statistical computation issues associated with the Bootstrap and modified PRESS statistic, which yield key metrics for error measurements in metamodelling validation. Experimentation is performed on different programming languages, namely, MATLAB, R, and Python, and implemented on different computing architectures including traditional multicore personal computers and high-power clusters with parallel computing capabilities. This study yields insight into the effect that programming languages and computing architecture have on the computational time for simulation metamodel validation. The experimentation is performed across two scenarios with varying complexity.     

Is education a risk factor or social vaccine against HIV/AIDS in Sub-Saharan Africa? The effect of schooling across public health periods

Early in the 30-year HIV/AIDS pandemic in Sub-Saharan Africa, epidemiological studies identified formal education attainment as a risk factor: educated Sub-Saharan Africans had a higher risk of contracting HIV/AIDS than their less educated peers. Later demographic research reported that by the mid-1990s the education effect had reversed, and education began to function as a social vaccine. Recent counter-evidence finds a curvilinear pattern, with the association between educational attainment and HIV/AIDS infection changing from positive to negative across the education gradient. To reconcile these inconsistent conclusions, a hypothesis is developed and tested that education at early stages functioned as a risk factor and later functioned (and continues to function) as a social vaccine. We reason that this shift in the direction of the education effect was concurrent with changes in the public health environment in SSA that early on heightened material benefits from educational attainment but later heightened cognitive benefits from schooling. Using the 2003/2004 Demographic Health Surveys from four Sub-Saharan African countries (Cameroon, Ghana, Kenya and Tanzania), we tested this hypothesis (differential effects of schooling) using non-linear regression analysis (probit), identifying the different public health periods and controlling for confounding factors. The results support the hypothesis that the education effect shifted historically in the HIV/AIDS pandemic in SSA as we hypothesized.     

It's About Time! Examining Received Dosage and Program Duration as Predictors of Change Among Non‐Distressed and Distressed Married Couple and Relationship Education Participants

Although Couple and Relationship Education (CRE) programs were intended to be preventive in nature, an emerging reality is that relationally distressed couples are attending programs. This has raised questions about both its general usefulness and what is known regarding predictors of change in CRE for distressed couples particularly. Previous work has identified dosage and duration as important moderators of changes, and there are myriad program contexts offered, highlighting the need to examine these among distressed couples. This study utilized a sample of community CRE participants and examined received dosage and program duration as predictors of change. Comparing results for distressed and non‐distressed participants, we found several group differences. Findings suggest that it is important to consider distress level and time spent in programs when placing participants. In addition, research should continue to examine these groups separately (or comparatively) to find out what works for whom.     

The Paranoid Style Revisited: Pseudo‐Conservatism in the 21st Century

Fifty years ago, the Pulitzer Prize‐winning historian Richard Hofstadter published the seminal essay, “The Paranoid Style in American Politics.” In this and related works he examined the rhetoric animating the extreme right‐wing of the country's electorate. In this article I revisit Hofstadter's claims regarding the marginalization of the paranoid style and its connection to status‐based politics. A review of the most popular “pseudo‐conservative” commentators, survey data, the rise of the Tea Party, and the intransigence of the present day Republican Party suggests that a worldview that was once extreme has now become “mainstreme” within the political culture.     

The Development of a Reliable Change Index and Cutoff for the Revised Dyadic Adjustment Scale

The Revised Dyadic Adjustment Scale (RDAS; Busby, Crane, Larson, & Christensen, 1995) is a measure of couple relationship adjustment that is often used to differentiate between distressed and non‐distressed couples. While the measure currently allows for a determination of whether group mean scores change significantly across administrations, it lacks the ability to determine whether an individual's change in dyadic adjustment is clinically significant. This study addresses this limitation by establishing a cutoff of 47.31 and reliable change index of 11.58 for the RDAS by pooling data across multiple community and clinical samples. An individual whose score on the RDAS moves across the cutoff changes by 12 or more points can be classified as experiencing clinically significant change.     

The Chinese Cashmere Industry: A Global Value Chain Analysis

Growth and internationalisation of the Chinese economy have reconfigured the global value chains of many commodities with important implications for industry and rural and regional development both in and outside China. This article analyses the chain for cashmere, all stages of which have gravitated to China, and the impacts on rural development, especially for herders in remote pastoral regions. Traditionally a high‐value product, cashmere has become increasingly generic and adulterated over the past decade. More formal and closer integration of Chinese actors into the global industry and re‐orienting policy from supply‐side intervention to the enforcement of standards would enhance the competitiveness of Chinese cashmere in international fibre markets.