Sampling 62 societies from the HRAF database (32 bilateral, 21 patrilineal, 6 matrilineal, and 3 double-unilineal societies)the author asks whether divorce rates can be predicted by the descent systems or the network of marriage affiliations. Findings do not support the theory that divorce rates will be predicted by descent (patrilineal vs bilateral) - but they are more consistent with the idea that conjunctive affiliations are predictive of low divorce rates in bilateral societies. In lineal societies the levirate is used as an indicator.

Sampling 62 societies from the HRAF database (32 bilateral, 21 patrilineal, 6 matrilineal, and 3 double-unilineal societies)the author asks whether divorce rates can be predicted by the descent systems or the network of marriage affiliations. Findings do not support the theory that divorce rates will be predicted by descent (patrilineal vs bilateral) - but they are more consistent with the idea that conjunctive affiliations are predictive of low divorce rates in bilateral societies. In lineal societies the levirate is used as an indicator.

Ackerman performs a cross-cultural analysis on the structural determinants of divorce rate as originally hypothesized by Max Gluckman and elaborated on by other researchers. Ackerman's results suggest that when spouses share a network of affiliation, divorce rates are low; when spouses maintain separate affiliations, divorce rates are high. Ackerman's statistical analysis and discussion provide an explanatory framework for further research.

Ackerman performs a cross-cultural analysis on the structural determinants of divorce rate as originally hypothesized by Max Gluckman and elaborated on by other researchers. Ackerman's results suggest that when spouses share a network of affiliation, divorce rates are low; when spouses maintain separate affiliations, divorce rates are high. Ackerman's statistical analysis and discussion provide an explanatory framework for further research.

Ackerman performs a cross-cultural analysis on the structural determinants of divorce rate as originally hypothesized by Max Gluckman and elaborated on by other researchers. Ackerman's results suggest that when spouses share a network of affiliation, divorce rates are low; when spouses maintain separate affiliations, divorce rates are high. Ackerman's statistical analysis and discussion provide an explanatory framework for further research.

Ackerman performs a cross-cultural analysis on the structural determinants of divorce rate as originally hypothesized by Max Gluckman and elaborated on by other researchers. Ackerman's results suggest that when spouses share a network of affiliation, divorce rates are low; when spouses maintain separate affiliations, divorce rates are high. Ackerman's statistical analysis and discussion provide an explanatory framework for further research.

This book discusses the role of women cross-culturally. The authors use a cross-cultural sample to examine the differences between men and women in contribution to subsistence as well as the social juxtaposition of the sexes in foraging, horticultural, agricultural, pastoral, and industrial societies.

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.

Drawing from previous theories on the cultural variation of depression, this article tested the relationship between 24 sociocultural and ecological factors and the prevalence of depression across 195 countries and territories. The authors first conducted a zero-order association test to find the most contributory factors. Those variables were further tested in a regression model, and controlled for the under-reporting of depression by measuring the number of healthcare workers per capita. The authors found that cultural individualism was the only factor that positively predicted depression prevalence in a multiple regression model.

Previous studies have proposed a model of sexual selection that dictates that along with female and male choice, parental choice constitutes a significant sexual selection force in our species. This article aims at examining whether this model can also account for the mating patterns typical of agricultural and pastoral societies. The hypotheses are supported by the results presented.