This article studied the effects of common law in Sub-Saharan Africa on property rights of women and its relationship to intimate partner violence. The authors first compared intimate partner violence (IPV) in 593 ethnic groups with a separate marital property regime against groups with a community marital property regime. Then, the authors examined the correlation between women who justify IPV and the presence of a separate marital property regime. They found that separate marital property both increased the likelihood of intimate partner violence and the justification of IPV when compared to a community property regime. The authors use these findings to advocate for marital property rights reform to help reduce partner violence cases.

This book is concerned with explaining variation in the status of women. The author, after measuring over 50 aspects of status, first concludes that status is not a unitary concept. Therefore the author looks at 10 different domains of status. Many traditional explanations are not supported; most support is found for the influence of social complexity which generally lowers female status.

In this master's thesis, the author seeks to understand the determinants of attitudes on Intimate Partner Violence (IPV). She does this by correlating data on socioeconomic status, age, and education against survey data about IPV attitudes from Demographic and Health Surveys that were conducted in 56 countries across the world. Additionally, for purposes of analysis, she also ran correlations between attitudes and ancestral plow use data some the Ethnographic Atlas as a proxy for the presence of patriarchal norms. Finally, and most uniquely, the author conducted relational analyses between couples in order to gauge how IPV attitudes were influenced by the attitudes of a person's partner. The author concludes with suggestions of how this information can be used by policymakers in order to reduced and ultimately eliminate IPV.

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.

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 authors examine correlations between slavery and variables that can potentially be detected archaeologically. The authors do not test specific hypotheses, but aim to explore the variables in a broader sense. As such, the authors use a grounded theory approach to data analysis in order to examine trends that emerge from the data itself.

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.

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 offers an exploratory study of the structural and psychological influences related co-wife conflict and cooperation.