This article employs archaeoethnology to investigate possible patterns of synchronous population growth among cities of the prehistoric New World. The author finds a pattern of settlement synchrony distinct from a pattern found in the prehistoric Old World, suggesting that global climate change may not be a key factor in understanding settlement synchrony. Macroregional political and economic processes such as long-distance trade are offered as partial explanations of settlement synchrony in the New World.

This article tests for universal patterns in cultural evolution by Guttman scaling on two different worldwide samples of archaeological traditions and on well-known archaeological sequences. The evidence is generally consistent with universal evolutionary sequences.

Using the ethnographic record, this study develops and tests the idea that community permeability may be used as an archaeological predictor of warfare. With the exception of pastoral societies, community permeability predicts warfare.

Several theories on the development of matrilocal residence are tested. The main argument put forth predicts that matrilocal residence will develop in response to a need to break up fraternal interest groups that encourage internal war and instead encourage a pattern of external war that is more beneficial in populated regions with additional group migration.

This article aims to answer the question: Does the imagery of composite beings, also known as monsters, appear cross-culturally? The authors use the Standard Cross-Cultural Sample to test whether these mythical figures are universal and which sociocultural variables might be related to their presence or absence. To do so, they use the ten measures of cultural complexity by Murdock and Provost (1973): writing and records, fixity of residence, agriculture, urbanization, technological specialization, land transport, money, density of population, level of political integration, and social stratification. The results show that the concept of "monsters" is common among cultures, but not universal. Additionally, the presence of composite beings is related to all the measures of cultural complexity. Finally, the authors wanted to test which variables are more relevant. They use a machine learning method (decision trees and random forests), which suggests that the most important variables are social stratification and higher inter-group contact facilitated by land vehicles.

This study examines the association between post-marital residence patterns and dwelling size in pre-industrial societies using comparative methods and a global sample of 86 societies. The results suggest that matrilocality is associated with larger dwellings (over 65 square meters) in agricultural societies, while patrilocality is associated with smaller dwellings. The study also finds that sedentism is the single best predictor of house size. The study concludes that post-marital residence and house size evolve in a correlated fashion, which can help make reliable inferences about the social organization of prehistoric societies from archaeological records.

An extension of the author's 1993 study, An Archaeological Correlate of War, this study examines the relationship between community permeability and war in the ethnographic record using Naroll's study on household and population as a model with the aim of making inferences to the archaeological record.

This paper builds off previous research into the effect of population size and resource risk on complexity of subsistence technology by investigating the relationship between these independent variables and total number of material items and techniques used by various western North American hunter-gatherer groups. This tally of total technological complexity is found to be insignificantly related to population size or residential mobility; however, there is a significant correlation in the expected direction between technological complexity and one measure of resource risk (mean annual temperature during driest month). Tying this finding to previous analyses of subsistence technologies, the authors theorize that environmental risk is a pervasive driver of technological ingenuity and cultural evolution.

This paper discusses the relationship between floor area and settlement population.

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.