This paper "reduces Murdock's 210 categories to 30 variables, and intercorrelates and factor analyzes the variables for six world subdivisions as well as for the entire world." This article also discusses factor analysis as a method and examines the correlations more closely between the two regions that differed the most, North America and the Circum-Mediterranean.

A study of the relationship between older women and their young female kin. Relationships between women's relationships with their mother-in-laws and subsistence contribution, residence, descent, and food preparation are examined. Findings offer significant support for patterns in the relationship between older women and younger female kin.

The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

This article re-examines previous hypotheses by Tylor regarding kin avoidance behavior. The author tests hypotheses on a sample of North American societies that accounts for genetic language families. Results provide partial support for hypotheses.

The article examines whether cultural groups tend to use supernatural beliefs more to explain natural phenomena or social phenomena. Analysis of ethnographic text from 114 diverse societies reveals that supernatural explanations are more common for natural phenomena, consistent with the theory that humans tend to perceive intent and agency in the natural world. However, supernatural explanations of social phenomena were more prevalent in urbanized societies with greater social complexity and anonymity. The study highlights how people use supernatural beliefs to explain their world and how this varies across small-scale and urbanized communities.

Can physiological variation in human populations be attributed to environmental variables? Arguing for the importance of phylogenetic comparative methods, the authors present the results of previous research by Holden & Mace (1997) on lactose intolerance as well as introduce new research on sex ratio at birth. The authors suggest that global variance in sex ratio at birth is an adapted response to the physiological costs of giving birth to boys in high fertility populations.

Researchers sampled 106 Austronesian societies from the Pulotu database to study the way political complexity evolves in relation to religious beliefs and practices. Specifically, they attempt to test the causal theory that supernatural punishment played a causal role in the emergence of large, complex societies. They use phylogenetic models to control for Galton's Problem in testing the supernatural punishment hypothesis in an effort to demonstrate the effectiveness of utilizing cross-cultural datasets in evaluating evolutionary change in human social organization.

Using a sample of 313 societies classified within 24 language phyla, authors put forward a statistical model based on climate data [specifically focused on the 10°C (50°F) winter temperature isotherm] to explain why dispersion of preindustrial language phyla is remarkably homogeneous even despite heterogeneous geographical dispersion of sampled preindustrial cultural groups. They suggest that temperature has been a barrier to migration.

Authors test three explanations as to why bloodletting is such a near-universal therapeutic cultural practice in "the west." Using references from HRAF's database which are then re-coded for colocalization, practitioner, and cultural explanation, they find that bloodletting is practiced therapeutically by many unrelated cultures worldwide; it is heterogeneous in both form and cultural significance across the globe while still fairly ubiquitous in general. Authors posit that the widespread propensity toward bloodletting in human populations is explained by the universality of affecting/affected cognitive mechanisms. After analyzing cultural data in eHRAF, authors incorporated experiments and modeling that further supported this conclusion.

Researchers investigated further into why and how humans speak so many languages across the globe, and why they are spread out unevenly. Using two different path analyses, a Stationary Path analysis and a GWPath, researchers tested the effect of eight different factors on language diversity. Out of the eight variables (river density, topographic complexity, ecoregion richness, temperature and precipitation constancy, climate change velocity, population density, and carrying capacity with group size limits), population density, carrying capacity with group size limit, and ecoregion richness had the strongest direct effects. Overall, the study revealed the role of multiple different mechanisms in shaping language richness patterns. The GWPath showed that not only does the most important predictor of language diversity vary over space, but predictors can also vary in the direction of their effects in different regions. They conclude that there is no universal predictor of language richness.