Previous cross-cultural studies of romantic love have, in the authors' view, been plagued by vague definitions of the concept and a conflation of cultural, bio-psychological, and social factors. Thus, the authors distinguish between the social aspect of romantic love (which they argue is a universal human predisposition) and the variable cultural valuation of romance. In a large cross-cultural sample, the authors test the hypotheses that gender equality and family organization are important predictors of the cultural valuation of romantic love.

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 the Standard Cross-Cultural Samples to test the relationship between disease and economic growth among sub-Saharan African societies. The authors suggest that a higher disease prevalence limits social integration and economic development since pre-colonial times. The variable measuring economic growth is the complexity of large or impressive structures. The hypotheses are that 1) pathogen stress is negatively correlated to the presence of complex buildings, and 2) pathogen stress is positively correlated to increased ethnic diversity. The results support both hypotheses, and there are additional results, like 1) the negative correlation between pathogen stress and current income per capita and 2) the negative correlation between the increased ethnic diversity and current income per capita. Overall, this article shows the robust relationship between disease and economic development.

This article reviews prior findings associating sexual selection, polygyny, and pathogen stress. The author also presents descriptions of several pathogens to facilitate further research.

Controlling for community type, the researchers examine a potential relationship between family size (nuclear vs. extended) and communal leadership (hereditary vs. elected) in an effort to suggest potential predictors of hierarchical structures in societies. They claim support for their hypothesis that societies with nuclear families will be more likely to have democratic communal leadership, across four different community types.

This book examines male and female power in various kinship configurations. Variables for male dominance and female autonomy are associated with various political and social variables, such as political complexity and co-wife jealousy. Several hypotheses are supported.

This book is a comprehensive cross-cultural survey of family customs described by anthropologists. It asks about the range and frequency of variation, how the customs compare with American families, and the associations between traits. The author includes many qualitative descriptions in describing variation.

This article examines the relationship between pathogen stress and polygyny. Results indicate that there is a positive association between the two that is not confounded by geographic region, latitude, population density, male-male competition, or presence of brideprice. In particular, pathogen stress precicts higher levels of non-sororal polygyny and capturing women for wives or concubines.

This article uses logistic regression analysis to examine pathogen stress and male mortality in warfare as predictors of nonsororal polygyny. Differences between state and non-state societies are observed. The authors also retest variables from White and Burton's 1988 study on causes of polygyny, finding only fraternal interest groups and absence of plow significant.

This study retests the work by Ember, Ember and Low (2007) on male mortality and pathogen stress as predictors of nonsororal polygyny. The authors argue that the work of Ember, Ember, and Low is biased because it does not include a variable for cultural trait transmission. Restesting the original Ember, Ember and Low data, including a variable for cultural trait transmission, authors find that male mortality and pathogen stress loose their significance and cultural trait transmission is the only significant predictor of nonsororal polygyny.