Using empirical data and statistical methodology, Gouldner and Peterson aim to identify fundamental dimensions across societies, examine the relationships among these dimensions, and evaluate their importance. Data analysis is largely based on factor analysis, and the authors discuss how statistical methods fit into functional social theory.

Using empirical data and statistical methodology, Gouldner and Peterson aim to identify fundamental dimensions across societies, examine the relationships among these dimensions, and evaluate their importance. Data analysis is largely based on factor analysis, and the authors discuss how statistical methods fit into functional social theory.

Using empirical data and statistical methodology, Gouldner and Peterson aim to identify fundamental dimensions across societies, examine the relationships among these dimensions, and evaluate their importance. Data analysis is largely based on factor analysis, and the authors discuss how statistical methods fit into functional social theory.

Using empirical data and statistical methodology, Gouldner and Peterson aim to identify fundamental dimensions across societies, examine the relationships among these dimensions, and evaluate their importance. Data analysis is largely based on factor analysis, and the authors discuss how statistical methods fit into functional social 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).

Using empirical data and statistical methodology, Gouldner and Peterson aim to identify fundamental dimensions across societies, examine the relationships among these dimensions, and evaluate their importance. Data analysis is largely based on factor analysis, and the authors discuss how statistical methods fit into functional social theory.

Using empirical data and statistical methodology, Gouldner and Peterson aim to identify fundamental dimensions across societies, examine the relationships among these dimensions, and evaluate their importance. Data analysis is largely based on factor analysis, and the authors discuss how statistical methods fit into functional social theory.

In this article, the author argues that matrilocality is a form of social organization that is conducive to expansion in tribal societies with smaller populations. Because this organization increases internal solidarity and success in external warfare, the theory suggests that it is best suited for expansion on cultural frontiers by groups with small populations. The author supports this theory with empirical tests on 33 societies and case studies of Bantu and Austronesian expansion.

This article tests several hypotheses related to the presence or absence of polygyny. Results suggest a negative relationship between polygyny and male provisioning, and positive relationships between polygyny and warfare, interpersonal aggression, and pathogen stress.

This article uses an evolutionary psychological approach to hypothesize about the relationships between norms regarding male and female sexual behavior and female independence. Results suggest that more female independence is related to more permissive sex norms.