Author first tests the validity of the variables traditionallyused in tests of status envy theory. Then the author tests some of the implications of the theory and proposes somewhat different mechanisms.

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.

This study uses logistic regression to test the relationship between homosexuality and ecological and psychosocial variables. Significant associations were found between the frequency of homosexuality and type of agriculture, the occurrence of gathering, and psychosocial stressors in women's lives.

A materialist approach is used to study the status of women in hunter-gatherer groups. Techno-ecological factors are tested as predictors of women's status.

A feminist critique of ethnographic information is tested to determine if the gender of fieldworkers or coders has a significant effect on the reliability of data regarding women's status. Findings indicate that there is no male bias in coding. With regard to male versus female ethnographers, only a few results (no more than chance) found any evidence of possible bias, but they are all in the same direction with female ethnographers more favorable. Author suggests that any bias will be lessened by using more specific coding scales.

In this article, the authors seek to test the theory that the veiling of women is a form of male mate guarding strategy, especially in harsh environments (specifically those with poor health and high mortality). They test this hypothesis using survey data drawn from 25 majority Muslim countries. This theory found support in the results of their statistical tests. In addition to testing the hypotheses articulated in the paper (as noted above), they also ran correlations between income level, importance of religion, and a countries sex ratio and views on the importance of veiling.

This article builds upon gender inequality theory to examine childhood gender inequality in preindustrial societies. Multivariate and cluster analysis are used.

This article examines the relationship between the tightness-looseness of a culture and the variation of COVID-19 cases and deaths through October 2020. With COVID-19 data retrieved from Our World in Data from 57 countries with tightness-looseness figures, the article found the cultures with high levels of tightness had fewer COVID-19 cases and deaths when compared to countries with high levels of looseness. Results suggest support of the evolutionary game theoretic model proposing that people in tight cultures may cooperate with more urgency when under collective threat than people in loose cultures.

There is considerable variation both within and across societies in attitudes towards female employment outside of the household. In some societies, the dominant belief is that women should have equal opportunity to work outside the home, while in others women are strongly discouraged from working outside of the domestic sphere. Here the authors use pre-industrial ethnographic data and contemporary observations of gender inequality to test the hypothesis that cultural attitudes regarding the appropriateness of women working outside of the household are rooted in the ancestral adoption of plough cultivation. Contemporary measures of gender inequality assess variation across countries, ethnic groups, and individuals.

This research examines how national culture influences the speed of COVID-19 spread in different countries. Three studies were conducted, and five national cultural dimensions were found to be significantly related to the speed of COVID-19 spread in the initial stages of the pandemic. These dimensions are power distance, uncertainty avoidance, humane orientation, in-group collectivism, and cultural tightness. The research found that COVID-19 spreads faster in countries with small power distance and strong uncertainty avoidance, low humane orientation and high in-group collectivism, and slower in countries with high cultural tightness.