This article suggests that Spiro's (1965) study on typology of social structure used a biased cross-cultural sample and possibly obscured regional patterns in data. Hypotheses related to marital structure, descent rules, food production and social stratification are tested.

This chapter offers an exploratory study that examines the relationships between several culture characterstics, including child socialization practices, social structure, and food production, and mind-altering drug use in non-literate societies. All hypotheses were supported.

This chapter explores and tests some propositions about matrilineal societies. Supplementary to that discussion, the author also explores the problems of method associated with the use of coded data on large samples of cultures.

Researchers examined kinships terminology systems for explanations regarding specifically observed typology of kin terms for cousins cross-culturally. They explore two theories, the first relating to population size via bottleneck evolution, and the second relating to social practices that shape kinship systems. Using the Ethnographic Atlas within D-PLACE, 936 societies with kinship system information were studied. The findings did not suggest a relationship between increased community size and a decrease in kinship complexity, however the research does suggest a relationship between practices of marriage and descent and kinship complexity.

This study investigates the relationship between societal complexity and familial complexity. Results suggest that the relationship is somewhat curvilinear; that is, in simpler societies more societal complexity is associated with a larger familial system, but the most developed societies have smaller familial systems. The demographic, economic, and politcal correlates of maximum family size are discussed.

Considerable disagreement exists in regard to the origin and distribution of economic phenomena such as money, slavery, markets, exchange, and imbalanced transfers. Here the author utilizes a worldwide cross-cultural sample of 60 pre-industrial "societies" to empirically test many economic hypotheses, with a focus on distributional mechanisms and institutions.

This study presents a sociological theory of marriage type based on socioeconomic organization. Results suggest that intensive agriculture, more stratification, greater political integration, a fixed settlement pattern, a larger population, and greater labor specialization tended to be correlates of monogamy.

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 examines the evolution of social inequality through tests of the influence of political, economic and social factors. “Analysis of comparative data shows that while some dimensions of the stratification system (such as measures of social complexity) exhibit a monotonic trend of increasing inequality with level of technology from the hunting-and-gathering to the agrarian type, others (such as measures of freedom and sexual inequality among males) exhibit a pattern of “agrarian reversal” in which inequality increases from the hunting-and-gathering to the advanced horticultural type but then declines with the agrarian type” (292).

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.