In order to investigate cross-cultural variation in systems of conversational turn-taking (who speaks and when), the researchers analyze the association of various contextual, verbal, and non-verbal factors with mean response time. Despite some variation in response time between languages, each of the explanatory variables is found to have significant impact on response time independent of language. A further test on subjective perception of ideal response time suggests that although similar factors act on response patterns cross-culturally (in support of a 'universal systems' theory), speakers are hypersensitive to even minor cultural variations in response time.

In order to investigate cross-cultural variation in systems of conversational turn-taking (who speaks and when), the researchers analyze the association of various contextual, verbal, and non-verbal factors with mean response time. Despite some variation in response time between languages, each of the explanatory variables is found to have significant impact on response time independent of language. A further test on subjective perception of ideal response time suggests that although similar factors act on response patterns cross-culturally (in support of a 'universal systems' theory), speakers are hypersensitive to even minor cultural variations in response time.

In the field of bioacoustics, the Acoustic Adaptation theory suggests that variation in vocalization across different species can be accounted for by the acoustic properties of different habitats. Here, the researchers test consonant- and vowel-heaviness in human languages against various environmental variables in order to examine the theory's potential application to our own species. The authors identify a significant negative correlation between consonant heaviness and temperature, precipitation, and tree cover, and some positive correlation with rugosity and elevation as their most important findings, while acknowledging the potentially influential roles of migration and demographic factors in producing this relationship.

Stark attempts to resituate Tylor's formulation of religion by calling into question Swanson's (1960) and Peregrine's (1996) findings that supernatural sanctions and moral behavior are consistently correlated in small-scale societies. Positing that Swanson's correlations were confounded by variables related to cultural complexity, Stark tests the association of presence of moralizing Gods with cultural complexity explicitly, as well as measures of morality in various nations as provided by the World Values Survey (1990-1991). The robust correlations across cultures noted below, as well as cross-national findings, provide support for the researcher's theory that it is particular conceptions of God rather than participation in rites and rituals which empower religion to sustain complex moral culture.

Using experimental methods, these researchers evaluated the function of pride in ten small-scale societies by testing personal pride’s association with valuation by the surrounding community. Their aim was to see if findings from western(-ized), educated, industrialized, rich, and democratic (WEIRD) societies replicate in non-WEIRD societies. Simple linear regression in each society indicates that the amount of pride one feels for a given action closely matches how highly others in the same community value the action. Authors conclude support for the universality of the pride system.

Drawing from previous theories on the cultural variation of depression, this article tested the relationship between 24 sociocultural and ecological factors and the prevalence of depression across 195 countries and territories. The authors first conducted a zero-order association test to find the most contributory factors. Those variables were further tested in a regression model, and controlled for the under-reporting of depression by measuring the number of healthcare workers per capita. The authors found that cultural individualism was the only factor that positively predicted depression prevalence in a multiple regression model.

Researchers looked at the meaning of various emotion concepts, 'emotion semantics' in an attempt to determine the patterns and processes behind meaning cross-culturally. They used maps of colexification patterns (where semantically related concepts are named with the same word), adjusted Rand indices (ARIs) which indicated the similarities of two community's network structures, and various psychophysiological dimensions to test relationships and patterns of variability /structure in emotion semantics. These methods shed light on the underlying mechanisms behind emotions, both their words and their meanings in languages across the world. Their findings show substantial difference in language families and relationships between geographic proximity of language families and subsequent variation in emotion colexification tied to an evolutionary relationship, while also finding cultural universals in emotion colexification networks with languages primarily differentiating emotions on the basis of valence and activation.

This study asks the following research questions: What are the dynamics of land ownership norms over time? Do these changes follow predetermined trajectories? The authors utilize biogeographical and evolutionary analyses to explore temporal and spatial patterns in land ownership norms within a sample of 73 Bantu societies. For the first component of the research, they test three prominent hypotheses regarding evolutionary trajectories: rectilinear, unilinear, and shift without restriction. For the second component, they use a multi-model inference approach to evaluate three hypotheses regarding the possible spatial patterns of land ownership. The results show evidence for the unilinear trajectory in type, but not with a consistent decrease in group ownership in size. Land ownership is more likely in areas with neighboring landowners and predictable resource productivity, while subsistence type is not significantly correlated with type of land ownership.

This study seeks correlations between social variables and linguistic variables, including the following ten speech patterns: repetitiveness, long-windedness, drawl, charm and variability, amount of pausing, sharing of air time, tension, noisy qualities, breath control, and forcefulness. Many associations are discussed, particularly those involving societal complexity, sex roles, and singing and dancing.

The researchers utilize a GIS approach in order to examine the relationship between global linguistic distribution and various cultural and environmental factors. The resulting positive association between political complexity and both latitude and language range leads the researchers to propose that large, politically complex entities exert a homogenizing pressure on language. However, the causal link may also be in the other direction, with possession of common language facilitating the creation of more complex political institutions.