The second and third parts of this book classify the economic systems of foraging and agricultural societies in the SCCS based on correlations between their institutions of property an distribution. These economic types are then examined for relationships with other social, political, demographic, and environmental factors in order to draw tentative conclusions regarding the origins of the Agricultural and Industrial Revolutions. The fourth part of the book uses cross-national data to examine similar associations in industrial/service economies, and is not included here.

This article analyzes the predictors of private property ownership with an aim to replicate existing correlations using data from the dissertation of Zelman (1974).

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.

This paper investigates five different economic types of foragers: classic, transitional system, politically oriented, economically oriented, and intangibles-oriented. The author asserts that these economic types “are not mere epiphenomena of the oft-discussed social structural or political forces but, rather, are special characteristics that must be independently taken into account” (418). A myriad of environmental, subsistence, political, and social variables are examined: some differed significantly across the five economic types of foragers, but others such as famine threat, conflict, locational fixity, marital form, and postmarital residence did not differ between types.

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

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.

An early cross-cultural study that sought to establish correlations between "stages" of economic culture and a variety of different social and political institutions, such as form of government and justice, marriage and kinship, and behaviors during warfare.

The author uses a world-wide sample of societies to address variation in famiy organization and the economic and social factors to which it relates.

This article builds upon gender inequality theory to examine childhood gender inequality in preindustrial societies. Multivariate and cluster analysis are used.

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.