Researchers examined both why so many language are spoken today, and why they are so unevenly distributed geographically. Instead of looking at correlative tests, this study uses a process-based simulation model that attempted to predict both the number or precolonial languages in Australia as well as the number of languages per unit of land. The model was based upon three basic assumptions: 1) humans fill unoccupied spaces; 2) rainfall limits population density; 3) groups divide after reaching a maximum population. While researchers used the model strictly on the Australia continent, it was able to correctly explain 56% of spatial variation in language richness, and predict the total number of languages across the continent. The accuracy of this model concludes that climatic conditions and changes in group size are important factors in shaping language diversity patterns and therefore global human cultural diversity.

This study follows the theoretical construct of general cultural tightness and looseness (TL). Tightness is thought to be adaptive when facing socioecological threat, such as resource stress, since it involves a greater amount of cooperation. The study asks: "Why do some societies have relatively standardized or uniform clothing and adornment, whereas others have considerable variability across individuals?", which is connected to the broader question of why some societies show more within-group variation. The authors use a sample of 80 non-industrial societies from SCSS, to explore the relationship between general cultural tightness and standardization or synchrony in dress. The results support that tighter societies have more uniformity in dress and that resource stress is a predictor of synchrony. However, it is not supported that egalitarian societies have more synchrony, and that tightness is positively predicted by resource stress.

This study uses macroecological approaches to test the impact of climate, social environment, inter-group borrowing and cultural history on vernacular house architecture among 1140 societies. The authors suggest that certain features will be influenced: wall materials, ground plan, roof shape, and floor placement. They use mixed binary and multinominal regressions models to test these predictions. The results strongly support that climatic drivers, cultural continuity, and inter-group borrowing predict three out of the four features: wall materials, roof shape, and floor placement. Social drivers are a strong predictor of every feature tested.

This study explores predictors of variation in two dimensions of marital residence patterns among hunter-gatherers: 1) the tendency toward patrilocality versus matrilocality and 2) the tendency toward unilocality versus bilocality.

The present research investigates food sharing and labor sharing practices of 98 nonindustrial societies. The aims are to: 1) document the frequency and scope of sharing, and 2) test the theory that greater sharing is adaptive in societies subject to more resource stress (including natural hazards).

This article uses the Standard Cross-Cultural Samples to test the relationship between disease and economic growth among sub-Saharan African societies. The authors suggest that a higher disease prevalence limits social integration and economic development since pre-colonial times. The variable measuring economic growth is the complexity of large or impressive structures. The hypotheses are that 1) pathogen stress is negatively correlated to the presence of complex buildings, and 2) pathogen stress is positively correlated to increased ethnic diversity. The results support both hypotheses, and there are additional results, like 1) the negative correlation between pathogen stress and current income per capita and 2) the negative correlation between the increased ethnic diversity and current income per capita. Overall, this article shows the robust relationship between disease and economic development.

This study relates the type of games present in a society to the level of cultural complexity. Authors use a "game-type combination scale" that categorizes societies as having: 1) games of physical skill only; 2) games of physical skill and games of chance; and 3) games of physical skill, games of chance, and games of strategy. Results show a relationship between the game-type combination scale and indicators of cultural complexity.

This article considers the consequences of modernization. Factor analysis is used to identify four stages of modernization: 1) changes in education, government, and trade; 2) changes in health, technology, and transportation; 3) changes in family, religion, and toilet; and 4) changes in behavior. The authors then consider five trends they expect to be associated with modernization and test whether they develop over the course of the four stages. Results indicate that these 5 trends—increased cultural complexity, female status, pacification, suicide, and social stress—are associated with only the first and fourth stages.

This article investigates a cultural patterning of altered states of consciousness. The authors use an ordinal variable for a society's trance type; its four levels are 1) trance, 2) trance and possession trance, 3) possession trance, and 4) neither type. Results suggest that trance type is associated with measures of societal complexity and subsistence economy. Regional differences and the effects of diffusion are also examined.

This study asserts that the structure of work organizations is affected more by production techniques than societal complexity. Empirical analysis suggests two trends: 1) production techniques that increase the importance of workers will influence rationality in work organizations, and 2) production techniques that increase the importance of workers and societal complexity will affect the bureaucratic elements of work organizations approximately equally. These findings challenge Udy’s (1970) thesis that complex peasant societies face more challenges than less complex societies in transitioning to modern industrial work forms.