Found 4152 Hypotheses across 416 Pages (0.005 seconds)
  1. In nonstate societies, male mortality in warfare will be positively associated with nonsororal polygyny.Ember, Melvin - Comparing explanations of polygyny, 2007 - 2 Variables

    This article uses logistic regression analysis to examine pathogen stress and male mortality in warfare as predictors of nonsororal polygyny. Differences between state and non-state societies are observed. The authors also retest variables from White and Burton's 1988 study on causes of polygyny, finding only fraternal interest groups and absence of plow significant.

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  2. When controlling for pathogen stress and male mortality in war, fraternal interest groups will be positively associated with nonsororal polygynyEmber, Melvin - Comparing explanations of polygyny, 2007 - 2 Variables

    This article uses logistic regression analysis to examine pathogen stress and male mortality in warfare as predictors of nonsororal polygyny. Differences between state and non-state societies are observed. The authors also retest variables from White and Burton's 1988 study on causes of polygyny, finding only fraternal interest groups and absence of plow significant.

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  3. When controlling for pathogen stress and male mortality in war, the absence of the plow will be positively associated with nonsororal polygynyEmber, Melvin - Comparing explanations of polygyny, 2007 - 2 Variables

    This article uses logistic regression analysis to examine pathogen stress and male mortality in warfare as predictors of nonsororal polygyny. Differences between state and non-state societies are observed. The authors also retest variables from White and Burton's 1988 study on causes of polygyny, finding only fraternal interest groups and absence of plow significant.

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  4. Marriage institutions will be more similar among societies closely related by language (vertical diffusion), and societies that are spacially proximate (horizontal diffusion) (135).Dow, Malcolm M. - Cultural trait transmission and missing data as sources of bias in cross-cul..., 2009 - 4 Variables

    This study retests the work by Ember, Ember and Low (2007) on male mortality and pathogen stress as predictors of nonsororal polygyny. The authors argue that the work of Ember, Ember, and Low is biased because it does not include a variable for cultural trait transmission. Restesting the original Ember, Ember and Low data, including a variable for cultural trait transmission, authors find that male mortality and pathogen stress loose their significance and cultural trait transmission is the only significant predictor of nonsororal polygyny.

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  5. In a multiple regression including non-sororal polygyny and marrying enemies as predictors, pathogen stress will not be significantly related to father-infant sleeping distance (108).Ember, Carol R. - War and socialization of children: comparing two evolutionary models, 2007 - 4 Variables

    This article presents two evolutionary models that may explain relationships between war and socialization of children: the "environmentally contingent reproductive strategy" (ECRS) model put forward by Draper and Harpending (1982), and a model put forward by Carol and Melvin Ember. Results do not provide support for the hypotheses involving father-infant sleeping proximity derived from the ECRS model. The authors also find some inconsistencies with their own model.

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  6. Pathogen stress will be positively associated with non-sororal polygyny (p. 334).Low, Bobbi S. - Marriage systems and pathogen stress in human societies, 1990 - 2 Variables

    This article examines the relationship between pathogen stress and polygyny. Results indicate that there is a positive association between the two that is not confounded by geographic region, latitude, population density, male-male competition, or presence of brideprice. In particular, pathogen stress precicts higher levels of non-sororal polygyny and capturing women for wives or concubines.

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  7. In a multiple regression, father-infant sleeping distance will be associated with warfare frequency, marrying enemies, and polygyny (108).Ember, Carol R. - War and socialization of children: comparing two evolutionary models, 2007 - 4 Variables

    This article presents two evolutionary models that may explain relationships between war and socialization of children: the "environmentally contingent reproductive strategy" (ECRS) model put forward by Draper and Harpending (1982), and a model put forward by Carol and Melvin Ember. Results do not provide support for the hypotheses involving father-infant sleeping proximity derived from the ECRS model. The authors also find some inconsistencies with their own model.

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  8. Pathogen stress will be positively associated with polygyny (p. 325).Low, Bobbi S. - Marriage systems and pathogen stress in human societies, 1990 - 2 Variables

    This article examines the relationship between pathogen stress and polygyny. Results indicate that there is a positive association between the two that is not confounded by geographic region, latitude, population density, male-male competition, or presence of brideprice. In particular, pathogen stress precicts higher levels of non-sororal polygyny and capturing women for wives or concubines.

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  9. "As pathogen severity increases, so should permanenent marking of body areas that are attended to for evaluating attractiveness and mate quality" (403).Singh, Devendra - Sex differences in the anatomical locations of human body scarification and ..., 1997 - 6 Variables

    This study examines the relationship between body scarification and pathogen prevalence. Authors hypothesize that risk of serious pathogens will be related to scarification on areas of the body that are associated with physical attractiveness and fertility. Results show that only female stomach scarification is significantly related to pathogen prevalence.

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  10. Pathogen stress will be negatively correlated with monogamy (p. 216).Dow, Malcolm M. - When one wife is enough: a cross-cultural study of the determinants of monogamy, 2013 - 2 Variables

    This article tests a myriad of factors that may have contributed to the adoption of monogamy in preindustrial societies. Results indicate that monogamy is not imposed by elites; rather, it is a strategy often chosen by women who can see no advantage to increasing the size or economic productivity of their households with more wives. The authors also assert that monogamy is generally adopted through cultural diffusion. Low pathogen stress, low risk of famine, and low endemic violence are also correlated with monogamy.

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