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.

The present study aims to assess the reliability of Simmons' (1937) database of 109 variables coded for 71 societies. Simmons' data was evaluated against matching societies and variables from Murdock's (1967) Ethnographic Atlas. The ultimate purpose of Rudmin's analysis is to identify the features of societies that are correlated with the private ownership of property. To do so, Simmons' reliable variables are tested against four measures of property ownership, two from Simmons and two from Murdock. Rudmin discusses results and speculates why certain clusters of societal variables correlate with private property ownership.

The present study builds upon Rudmin's 1992a publication by using a second data base to replicate and evaluate analyses on the cross-cultural correlates of private property ownership. Rudmin seeks to assess the reliability of Swanson's (1966) data base of 39 variables coded on 50 cultures. To do so, Swanson's data was evaluated against matching societies and variables from Murdock's (1967) Ethnographic Atlas. Swanson's reliable variables are tested against three measures of property ownership, one from Swanson and two from Murdock. Rudmin discusses results and speculates why certain clusters of societal variables correlate with private property ownership.

Using principal-components analysis, the author develops an Index of Sociocultural Development that measures the same concepts as Carneiro’s Index of Cultural Accumulation. Carneiro’s index also contains a measure of cultural elaboration which the author suggests examining further.

The present study builds upon Rudmin's 1992a publication by using a second data base to replicate and evaluate analyses on the cross-cultural correlates of private property ownership. Rudmin seeks to assess the reliability of Swanson's (1966) data base of 39 variables coded on 50 cultures. To do so, Swanson's data was evaluated against matching societies and variables from Murdock's (1967) Ethnographic Atlas. Swanson's reliable variables are tested against three measures of property ownership, one from Swanson and two from Murdock. Rudmin discusses results and speculates why certain clusters of societal variables correlate with private property ownership.

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.

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.

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).

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