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 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.

Through review of the economic literature and cross-cultural analysis of families (nuclear, stem, and complex), the authors show that family type is heterogeneous and argue that types other than nuclear have been largely ignored by economists. They encourage, based on their findings, further research on family structure and the development of better models for household decision making. They use ancestral populations in the ethnographic record to estimate country-level family patterns.

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.

Through review of the economic literature and cross-cultural analysis of families (nuclear, stem, and complex), the authors show that family type is heterogeneous and argue that types other than nuclear have been largely ignored by economists. They encourage, based on their findings, further research on family structure and the development of better models for household decision making. They use ancestral populations in the ethnographic record to estimate country-level family patterns.

Through review of the economic literature and cross-cultural analysis of families (nuclear, stem, and complex), the authors show that family type is heterogeneous and argue that types other than nuclear have been largely ignored by economists. They encourage, based on their findings, further research on family structure and the development of better models for household decision making. They use ancestral populations in the ethnographic record to estimate country-level family patterns.