2014
DOI: 10.1037/ebs0000013
|View full text |Cite
|
Sign up to set email alerts
|

When are cross-group differences a product of a human behavioral immune system?

Abstract: Several scholars have proposed that behavioral immune responses can account for worldwide human diversity in several behavioral and cognitive domains. Testing such claims generally relies on observational, cross-population data sets, posing challenges for causal inference. In this paper we describe four key pitfalls to using such data to test hypotheses for cross-population diversity based on a behavioral immune system. These issues are associated with (a) representativeness of sampling populations, (b) statis… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
44
1

Year Published

2015
2015
2024
2024

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 32 publications
(46 citation statements)
references
References 30 publications
1
44
1
Order By: Relevance
“…Just as the presence of disease triggers a physiological immune response, it might also trigger a psychological response that includes restricting interactions to members of one's own group and becoming xenophobic toward outsiders (Schaller & Park, 2011;but see Hackman & Hruschka, 2013;Hruschka & Hackman, 2014). A number of authors have started to interpret human cross-cultural variation, including religiosity, as a response to parasite prevalence (Fincher & Thornhill, 2008a, 2008bFincher, Thornhill, Murray, & Schaller, 2008;Murray, 2014;Murray, Trudeau, & Schaller, 2011;Schaller & Park, 2011).…”
Section: Parasite Stressmentioning
confidence: 97%
“…Just as the presence of disease triggers a physiological immune response, it might also trigger a psychological response that includes restricting interactions to members of one's own group and becoming xenophobic toward outsiders (Schaller & Park, 2011;but see Hackman & Hruschka, 2013;Hruschka & Hackman, 2014). A number of authors have started to interpret human cross-cultural variation, including religiosity, as a response to parasite prevalence (Fincher & Thornhill, 2008a, 2008bFincher, Thornhill, Murray, & Schaller, 2008;Murray, 2014;Murray, Trudeau, & Schaller, 2011;Schaller & Park, 2011).…”
Section: Parasite Stressmentioning
confidence: 97%
“…When the red flags indicate misaggregation, statistically controlling for the confounder variable (e.g., by including %Black as a predictor) might not solve the problem (e.g., due to multicollinearity). Stratified analyses may provide more valid inferences (Hruschka & Hackman, 2014). If lower-level data (e.g., stratified by race) are unavailable, these can sometimes be estimated from aggregated data (i.e., ecological inference) using methods developed in political science (King, 1997;Rosen, Jiang, King, & Tanner, 2001).…”
Section: Discussionmentioning
confidence: 99%
“…The confounding of Parasite Stress USA with %Black is argued to have resulted from African Americans having higher STD rates than non-Hispanic Whites and %Black varying substantially across states. Hruschka and Hackman (2014) provide suggestions for researchers who desire to use aggregated data but avoid the pitfalls, such as replicating with new data and at multiple levels, considering historical and social context, and testing alternative…”
Section: Parasite Stress Usamentioning
confidence: 99%
See 1 more Smart Citation
“…For this reason, the most inferentially compelling correlations are those that emerge not only in cross-national analyses, but also in analyses of small-scale societies studied by ethnographers [49,50]. It remains for future research to more fully determine which societal outcomes are, or are not, influenced by parasite risks [47].…”
Section: (A) Society-level Defences Against Infectious Diseasementioning
confidence: 99%