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.

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 uses factor analysis to identify the key variables underlying the many cross-cultural associations reported by Textor (1967). Twelve factors are identified.

Heider's theory of cognitive balance is applied to Levi-Strauss' discussion of the sentiment relations existing among four kin roles.

This study employs factor analysis to develop a settlement pattern scale of cultural complexity. Political, economic, and religious factors are identified and implications for the structure of the cultural system are discussed.

The article tests theories that may explain why warfare frequency varies from society to society. The focus is on ecological problems, particularly different kinds of resource scarcity, but social and psychological theories are also tested with both bivariate and multivariate analyses. Because unpredictable disasters are such a strong predictor in nonstate societies, the authors theorize that war may mostly be caused by a fear of nature.