This study tests a hypothesis developed in a previous study (Artemova 2003). The authors analyze the relationship between the monopolization of politically important information and gender inequality. Sixty correlations are tested between measures of female status and an indicator of information monopolization; findings support the hypothesis.

This study tests a hypothesis developed in a previous study (Artemova 2003). The authors analyze the relationship between the monopolization of politically important information and gender inequality. Sixty correlations are tested between measures of female status and an indicator of information monopolization; findings support the hypothesis.

This study tests a hypothesis developed in a previous study (Artemova 2003). The authors analyze the relationship between the monopolization of politically important information and gender inequality. Sixty correlations are tested between measures of female status and an indicator of information monopolization; findings support the hypothesis.

This study tests a hypothesis developed in a previous study (Artemova 2003). The authors analyze the relationship between the monopolization of politically important information and gender inequality. Sixty correlations are tested between measures of female status and an indicator of information monopolization; findings support the hypothesis.

This study tests a hypothesis developed in a previous study (Artemova 2003). The authors analyze the relationship between the monopolization of politically important information and gender inequality. Sixty correlations are tested between measures of female status and an indicator of information monopolization; findings support the hypothesis.

This study investigates responses to childlessness in a cross-cultural sample. Solutions to childlessness appear universal, and magico-religious-ethnomedical solutions seem the most likely to be tried first. Empirical analysis also shows that women are blamed for childlessness more often than men, which the authors suggest could be due to women’s lower status.

This article presents a materialist approach to the study of women's status. The authors test a Marxist-feminist theory which situates women's status as the end effect in a causal chain that begins with the mode of production and is mediated by the extent to which women control production. Results point to separate, rather than confounding, effects of these two factors on the status of women.

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.

This study examines relationships among descent, marriageable relatives, residence, family, and mode of production.

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.