Using a sample of 60 societies from eHRAF, this study explores the cross-cultural commonalities and differences in human-pet dynamics. The authors focus on understanding the range of functions of pets and the positive or negative treatment of pets. In addition, they test whether human investment in pets is a significant challenge of evolutionary theory. First, the results support that there are distinct functions of pets, challenging the common view of contemporary function of pets as emotional surrogates. Secondly, the data collected show an ambivalent treatment of pets across cultures, including small-scale societies. Finally, the research does not support the idea that human investment in pets sacrifices their reproductive success.

Belief in moralizing high gods (MHGs) has been theorized as a response to unfavorable environments, as a way to normalize behavior. In this study, researchers test the theory by creating a model for predicting the distribution of MHGs. They run many alternative models, testing the effects of resource abundance, climate stability, and pertinent social factors on the occurrence of belief in MHGs. Based on the ten most supported models, they create an average model that predicts MHGs within cultures with “excellent” accuracy.

This study tests the various ecological and social influences of women's political power and resource control in polygynous societies cross-culturally. Results suggest that women who are closer to their kin and have sisters as cowives are more likely to have resource control and power.

This article examines two hypotheses concerning the length of the post-partum sex taboo. Analysis suggests that both animal husbandry (with consumption of domestic animals’ milk) and monogamy (which restricts men’s options for sexual partners) are inversely associated with the length of the post-partum sex taboo.

There is considerable variation both within and across societies in attitudes towards female employment outside of the household. In some societies, the dominant belief is that women should have equal opportunity to work outside the home, while in others women are strongly discouraged from working outside of the domestic sphere. Here the authors use pre-industrial ethnographic data and contemporary observations of gender inequality to test the hypothesis that cultural attitudes regarding the appropriateness of women working outside of the household are rooted in the ancestral adoption of plough cultivation. Contemporary measures of gender inequality assess variation across countries, ethnic groups, and individuals.

This chapter examines the variables that are associated with the evil eye belief cross-culturally. Results suggest that the evil eye belief is significantly associated with various socioeconomic and demographic variables. All hypotheses are supported.

In this article, the authors seek to understand dog-human coevolution by considering predictors of different aspects of dog-human relationships across cultures. In order to measure dog-human relationships, the researchers created three indexes: dogs' utility for humans (DUH), humans' utility for dogs (HUD), and the personhood of dogs (PD). Each of these indexes were tested against various pre-coded variables that were empirically and theoretically relevant to this subject.

This article uses factor analysis to identify the key variables underlying the many cross-cultural associations reported by Textor (1967). Twelve factors are identified.

The researchers, using principal component analysis, generalized additive models across 12 agriculture origin locations, and a model predicting hunter-gatherer population density, evaluate hindcasted population density trends to suggest predictors of the development of agriculture. Using domestication as an indicator of agriculture, they test 3 competing hypotheses regarding agriculture development. Their results are consistent with the "surplus" hypothesis, indicating that agriculture arose as population densities increased along with environmental capabilities.

Using empirical data and statistical methodology, Gouldner and Peterson aim to identify fundamental dimensions across societies, examine the relationships among these dimensions, and evaluate their importance. Data analysis is largely based on factor analysis, and the authors discuss how statistical methods fit into functional social theory.