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 article discusses the role of land ownership in natural resource management and social-ecological resilience, and explores the factors that determine ownership norms in human societies. The study tests long-standing theories from ecology, economics, and anthropology regarding the potential drivers of land ownership, including resource defensibility, subsistence strategies, population pressure, political complexity, and cultural transmission mechanisms. Using cultural and environmental data from 102 societies, the study found an increased probability of land ownership in mountainous environments and societies with higher population densities. The study also found support for the idea that neighboring societies might influence land ownership. However, there was less support for variables associated with subsistence strategies and political complexity.

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.

In this article, the authors seek to determine cross-culturally valid predictors of dominant types of human subsistence around the world. They did this by formulating multiple models that incorporate different combinations of environmental, geographic, and social factors. These models were then used to test various hypotheses posed throughout the anthropological literature surrounding factors that determine dominant subsistence strategies.

In this article, the researcher aims to test the usefulness of grid/group theory, developed by anthropologist Mary Douglas, for cross-cultural research. The article utilizes principal component factor analysis on grid/group indicators to test if "grid" and "group" can be considered as sufficiently independent factors, and thus useful for quantitative cross-cultural research.

In the present study, Peregrine tests two perspectives regarding social resilience to climate-related disasters: 1) that societies with more inclusive and participatory political structures (corporate political strategies) are more resilient to climate-related disasters, and 2) that societies with tighter adherence to social norms are more resilient to climate-related disasters. Results support the notion that societies with greater political participation are more socially resilient to catastrophic climate-related disasters. Because these results are justifiably generalizable across multiple historical and cultural contexts, Peregrine's findings are a useful contribution to aid in disaster response policy decision making.

The author analyzes conditions that might favor social resilience during the Late Antique Little Ice Age (ca. 536-556 CE). The assumption is made that climatic conditions in the Northern Hemisphere during this period of time are very similar to those that would occur during a nuclear winter. These conditions include a drop in temperature and decreased solar radiation from volcanic eruptions. Measures for social resilience come from multiple variables for social change, which are tested against measures for type of political engagement. It is argued that broad political participation is correlated with resilience.

The researchers, using principal component analysis, generalized additive models across 12 agriculture origin locations, and a model predicting hunter-gatherer population density, evaluate hindcasted population density trends to suggest predictors of the development of agriculture. Using domestication as an indicator of agriculture, they test 3 competing hypotheses regarding agriculture development. Their results are consistent with the "surplus" hypothesis, indicating that agriculture arose as population densities increased along with environmental capabilities.

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 multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.