This paper is an investigation into the relationship between social differentiation as a proxy for societal 'development' and various categories of crime. A positive relationship is interpreted by the author as empirical cross-cultural support for Durkheim's theory that these two factors will increase together as parallel processes of 'sociocultural evolution'.

This paper is an investigation into the relationship between social differentiation as a proxy for societal 'development' and various categories of crime. A positive relationship is interpreted by the author as empirical cross-cultural support for Durkheim's theory that these two factors will increase together as parallel processes of 'sociocultural evolution'.

This chapter investigates the various socioeconomic variables that are associated with matrilineal and patrilineal institutions. Several variables were found to correlate significantly with matrilineal and patrilineal institutions.

This article presents a theory of evolutionary development of incest regulation, namely that as societal complexity increases the incest taboo will become less extensive. The author presents empirical support for this theory, though the association is not supported among simply structured societies. The role of descent type is also discussed.

This chapter examines the variables that favor restrictive premarital sex norms. Findings indicate that subsistence economy, technology, population size, political integration, belief in a high god, and residence are all correlated with premarital sex norms.

The authors examine correlations between slavery and variables that can potentially be detected archaeologically. The authors do not test specific hypotheses, but aim to explore the variables in a broader sense. As such, the authors use a grounded theory approach to data analysis in order to examine trends that emerge from the data itself.

Drawing from cultural evolution theory, the authors develop a model to explain the origin and evolution of productive organizations (organizations specialized in producing goods and services to satisfy human needs). They propose that productive organizations have two characteristics: exclusive membership and enhanced social learning within the organization. They find their predictions supported in a global sample of premodern societies.

Causal factors to the development of crime are examined. Frequency of theft and personal crime are tested against these causal factors in a search for correlations.

This study used data from the Afrobarometer Survey to compare the cultures of 85 ethnolinguistic groups from 25 African countries on markers of cultural modernization and emancipation, such as attitudes towards gender equality, xenophobia, and the role of religion in society. The study found that nearly all of the ethnolinguistic groups studied within a country clustered together in terms of their attitudes towards cultural modernization. The study also found that the variation between nations was often greater than the variation between ethnolinguistic groups, and that the cultural differences between ethnolinguistic groups within a nation were highly correlated with economic indicators such as GDP per person, employment in agriculture and the service sector, and phone subscriptions per person. The study suggests that economic development and modernization lead to cultural homogenization within a nation and a decreasing relevance of ethnolinguistic culture.

The present study aims to evaluate correlations of private property from two of Murdock's datasets, one of 147 societies (1981) and the other of 312 societies (1967). Altogether the author tested 146 variables coded by Murdock against variables regarding the ownership of land and of movables drawn from Murdock (1967), Simmons (1937), and Swanson (1960). In total, there were 51 statistically significant correlations between private property ownership and other variables. Additionally, the author summarizes the results from this article and the two that preceded it stating that throughout all of the correlations he ran, the practice of agriculture, the use of cereal grains, and the presence of castes and classes were the only variables that predicted private property in all of the datasets that were utilized.