In this study, the authors examine pathways to social inequality, specifically social class hierarchy, in 408 non-industrial societies. In a path model, they find social class hierarchy to be directly associated with increased population size, intensive agriculture and large animal husbandry, real property inheritance (unigeniture) and hereditary political succession, with an overall R-squared of 0.45. They conclude that a complex web of effects consisting of environmental variables, mediated by resource intensification, wealth transmission variables, and population size all shape social inequality.

This article tests Randall Collin's 1975 theory that political-economic factors, rather than family/kinship factors, predict the degree of sexual stratification in a given society. A multivariate model is tested and findings contradict the theory.

This article investigates whether external warfare, intercommunity trade, and female exogamy lead to more amicable intercommunity relationships. Intercommunity amicability is considered a historical facilitator of the large-scale integration of human groups. The absence of internal warfare is used as a measure for intercommunity amicability.

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.

This article focuses on ecological correlates of sexual division in the control of resources. The author tests several ecological theories put forth by others. Sex coalitions are examined in humans, and sexual dimorphism in resource acquisition and control is discussed.

The second and third parts of this book classify the economic systems of foraging and agricultural societies in the SCCS based on correlations between their institutions of property an distribution. These economic types are then examined for relationships with other social, political, demographic, and environmental factors in order to draw tentative conclusions regarding the origins of the Agricultural and Industrial Revolutions. The fourth part of the book uses cross-national data to examine similar associations in industrial/service economies, and is not included here.

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

This study focuses on the effect of type of warfare and community intermarriage on women's participation in warfare.

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.

Researchers examine marriage patterns of 186 societies from the Standard Cross-Cultural Sample (SCCS). The eleven predictor variables are pathogen stress, arranged female marriages, population density, father roles during infancy, temperature, social stratification, wealth inequality, internal warfare, assault frequency, female agricultural contribution, and sex ratio. The two outcome variables measuring polygyny are cultural rules constraining polygyny and the percentage of married men who are polygynous. Controlling on phylogeny using a global supertree of the languages, analysis of marriage patterns reveals that assault frequency and pathogen stress are the strongest predictors of polygyny. These findings offer additional support for the theories of harem-defense polygyny and male genetic quality.