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.

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.

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.

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.

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.

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 tested multiple previous hypotheses for associations between matriliny and cultural traits typically associated with stability and loss (subsistence strategy, animal domestication, mating system, residence pattern, wealth transfer, and property succession). Combining both genetic and linguistic data, researchers formed a phylogenetic ‘supertree’ that includes 16 matrilineal populations. Using this dataset they performed various analyses to assess patterns of evolution of matriliny and matrilocality.

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 stresses the use of multivariate analysis to study the emergence of states. The authors first discuss how social inequality, population density, and trade affect state development. Next, they turn to a time series regression to formally examine social stratification, urbanization, technological specialization as predictors of political integration. Finally, economic vulnerability and scalar stress are considered as possible underlying factors in the emergence of states.

This study investigates the relationship between cultural complexity and female premarital sexual freedom among foragers. To explain the decline of premarital sexual freedom, the authors discuss a few key trends such as the growth of social control and the decline of female status, as well as other variables such as intensification of foraging, social stratification, accumulation of wealth, political integration, and fixity of settlement. A model relating these variables is presented.