How does the size and shape of local populations in China compare to general anthropometric surveys currently used for product design?

Anthropometry has long been used for a range of ergonomic applications & product design. Although products are often designed for specific cohorts, anthropometric data are typically sourced from large scale surveys representative of the general population. Additionally, few data are available for emerging markets like China and India. This study measured 80 Chinese males that were representative of a specific cohort targeted for the design of a new product. Thirteen anthropometric measurements were recorded and compared to two large databases that represented a general population, a Chinese database and a Western database. Substantial differences were identified between the Chinese males measured in this study and both databases. The subjects were substantially taller, heavier and broader than subjects in the older Chinese database. However, they were still substantially smaller, lighter and thinner than Western males. Data from current Western anthropometric surveys are unlikely to accurately represent the target population for product designers and manufacturers in emerging markets like China.     

Patterns of correlation between vehicle occupant seat pressure and anthropometry

Seat pressure is known as a major factor of seat comfort in vehicles. In passenger vehicles, there is lacking research into the seat comfort of rear seat occupants. As accurate seat pressure measurement requires significant effort, simulation of seat pressure is evolving as a preferred method. However, analytic methods are based on complex finite element modeling and therefore are time consuming and involve high investment. Based on accurate anthropometric measurements of 64 male subjects and outboard rear seat pressure measurements in three different passenger vehicles, this study investigates if a set of parameters derived from seat pressure mapping are sensitive enough to differentiate between different seats and whether they correlate with anthropometry in linear models. In addition to the pressure map analysis, H-Points were measured with a coordinate measurement system based on palpated body landmarks and the range of H-Point locations in the three seats is provided. It was found that for the cushion, cushion contact area and cushion front area/force could be modeled by subject anthropometry, while only seatback contact area could be modeled based on anthropometry for all three vehicles. Major differences were found between the vehicles for other parameters.     

Maternal Caregiving Moderates the Relation Between Temperamental Fear and Social Behavior with Peers

Temperament works in combination with a child’s environment to influence early socioemotional development. We examined whether maternal caregiving behavior at infant age 9 months moderated the relation between infant temperamental fear (9 months) and observations of children’s social behavior with an unfamiliar peer at age 2 in a typically developing sample of 155 children. When infants received lower quality maternal caregiving, temperamental fear was inversely related to observed social engagement and aggression. These relations were nonsignificant when infants received higher quality maternal caregiving. Findings indicate that variations in temperamental fear may predict individual differences in future peer interactions, but sensitive, nonintrusive caregiving behaviors can attenuate these associations.     

Answering the ethical call of the other: A test of the Strong Relationality Model of Relationship Flourishing

The philosophical framework of strong relationality has gained greater attention in scholarship and yet empirically testing models built on this important framework are rare. The present study tests predictions made by the Strong Relationality Model of Relationship Flourishing (SRM), which centers on the role of Ethical Responsiveness for relationship health. In doing so, we introduce common fate modeling as a methodological approach for strong relationality research. We used longitudinal data from 1512 couples collected as part of the German longitudinal panel study of families. Results support the Strong Relationality Model's prediction that Ethical Responsiveness (as measured by perceived partner support) positively alters the impact of stress on Gratitude-Recognition (elements of the Responsible Action domain of the SRM), which then increases couples' intimacy (an element of the Relational-Connectivity domain of the SRM). Recommendations for clinical assessment and intervention are given as well as recommendations for future research on the Strong Relationality Model.     

The regulatory breadth index: A new tool for the measurement and comparison of state-level charity regulation in the United States

The bulk of charity regulation in the United States occurs at the state level, yet state-level charity regulation remains relatively under-researched within nonprofit scholarship, particularly from a comparative perspective. The complexity and variation in statutory regulation, coupled with the large volume of legal research required to study state-level charity regulation systematically, has impeded scholarly progress toward a better understanding of the US charitable sector. We address this problem by deriving a state-level charity regulatory breadth index (RBI) that will enable nonprofit researchers to contextualize state-level charity research within a broader framework and to incorporate state-level regulation into analyses across states. Policymakers can also benefit from the ability to benchmark their regulatory regimes against their peers.     

Benevolence and authority as WEIRDly unfamiliar: A multi-language meta-analysis of paternalistic leadership behaviors from 152 studies

Based on a multi-language search, we qualitatively describe and meta-analytically summarize the growing but often ignored research literature on behaviors associated with paternalistic leadership (PL), a form of leadership that is considered to be acceptable and prevalent in many Non-WEIRD (Western, Educated, Industrialized, Rich, and Democratic) cultures. PL is conceptualized as the simultaneous enactment of two seemingly paradoxical leadership behaviors: 1) benevolence – the holistic and genuine care for followers' well-being even outside the workplace, and 2) authority – non-exploitative use of behaviors that emphasize power and control based on status and hierarchy. Results from 165 independent samples from 152 studies (total N?=?68,395) in fourteen countries demonstrate a consistently divergent pattern across the dimensions. Even in societies where PL is presumed to be more prevalent and acceptable, the strong control (authoritarianism) dimension is consistently negatively related to task performance, citizenship behaviors, creativity, attitudes towards the leader, and job attitudes. Conversely, the benevolence dimension demonstrates consistently positive relationships with leader effectiveness and follower performance, attitudes, and behaviors. The most commonly used measure of PL includes a morality dimension, which produces positive effects similar to the benevolence dimension. Collectively, PL dimensions (as well as a separate unitary measure of PL emphasizing benevolence) predict incremental variance beyond transformational leadership and beyond LMX. Based on conceptual and empirical grounds, it appears that PL (especially benevolence) is not fully captured in mainstream approaches to leadership and may add value to our understanding of the universe of ways leadership can be enacted. Several directions for future research are discussed, including the need to study the rarely-examined interactions between benevolence and authority, in line with the core of PL theory.     

At Home on the Range? Lay Interpretations of Numerical Uncertainty Ranges

Numerical uncertainty ranges are often used to convey the precision of a forecast. In three studies, we examined how users perceive the distribution underlying numerical ranges and test specific hypotheses about the display characteristics that affect these perceptions. We discuss five primary conclusions from these studies: (1) substantial variation exists in how people perceive the distribution underlying numerical ranges; (2) distributional perceptions appear similar whether the uncertain variable is a probability or an outcome; (3) the variation in distributional perceptions is due in part to individual differences in numeracy, with more numerate individuals more likely to perceive the distribution as roughly normal; (4) the variation is also due in part to the presence versus absence of common cues used to convey the correct interpretation (e.g., including a best estimate increases perceptions that the distribution is roughly normal); and (5) simple graphical representations can decrease the variance in distributional perceptions. These results point toward significant opportunities to improve uncertainty communication in climate change and other domains.