No Evidence That an Ebola Outbreak Influenced Voting Preferences in the 2014 Elections After Controlling for Time-Series Autocorrelation: A Commentary on Beall, Hofer, and Schaller (2016)

Psychological Science

Volumn 28, Issue 9, 2017, Pages 1358-1360

  Tiokhin, Leonid ^a   Hruschka, Daniel ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EBOLA HEMORRHAGIC FEVER; EPIDEMIC; HUMAN; POLITICS;

DISEASE OUTBREAKS; HEMORRHAGIC FEVER, EBOLA; HUMANS; POLITICS;

EID: 85028967877     PISSN: 09567976     EISSN: 14679280     Source Type: Journal    
DOI: 10.1177/0956797616680396     Document Type: Note

References (17)

1. Allison P. D., (2009). Fixed effects regression models (Vol. 160). Thousand Oaks, CA: Sage.
2. Angrist J. D., Imbens G. W., Rubin D. B., (1996). Identification of causal effects using instrumental variables. Journal of the American Statistical Association, 91, 444–455. doi:10.1080/01621459.1996.10476902
3. Anselin L., Bera A. K., (1998). Spatial dependence in linear regression models with an introduction to spatial econometrics. In Ullah A., Giles D. E. A., (Eds.), Statistics: Textbooks and monographs: Vol. 155. Handbook of applied economic statistics (pp. 237–289). New York, NY: Marcel Dekker.
4. Beall A. T., Hofer M. K., Schaller M., (2016). Infections and elections: Did an Ebola outbreak influence the 2014 U.S. federal elections (and if so, how)? Psychological Science, 27, 595–605. doi:10.1177/0956797616628861
5. Eppig C., Fincher C. L., Thornhill R., (2010). Parasite prevalence and the worldwide distribution of cognitive ability. Proceedings of the Royal Society B: Biological Sciences, 277, 3801–3808. doi:10.1098/rspb.2010.0973
6. Fincher C. L., Thornhill R., (2012). Parasite-stress promotes in-group assortative sociality: The cases of strong family ties and heightened religiosity. Behavioral & Brain Sciences, 35, 61–79. doi:10.1017/S0140525X11000021
7. Gelfand M. J., Raver J. L., Nishii L., Leslie L. M., Lun J., Lim B. C... Yamaguchi S., (2011). Differences between tight and loose cultures: A 33-nation study. Science, 332, 1100–1104. doi:10.1126/science.1197754
8. Hackman J., Hruschka D., (2013). Fast life histories, not patho-gens, account for state-level variation in homicide, child maltreat-ment, and family ties in the U.S. Evolution & Human Behavior, 34, 118–124. doi:10.1016/j.evolhumbehav.2012.11.002
9. Hruschka D. J., Hackman J., (2014). When are cross-group differences a product of a human behavioral immune system? Evolutionary Behavioral Sciences, 8, 265–273. doi:10.1016/j.evolhumbehav.2012.11.002
10. Hruschka D. J., Henrich J., (2013). Institutions, parasites and the persistence of in-group preferences. PLoS ONE, 8(5), Article e63642. doi:10.1371/journal.pone.0063642
11. Jebb A. T., Tay L., Wang W., Huang Q., (2015). Time series analysis for psychological research: Examining and forecasting change. Frontiers in Psychology, 6, Article 727. doi:10.3389/fpsyg.2015.00727
12. Koplenig A., Müller-Spitzer C., (2016). Population size predicts lexical diversity, but so does the mean sea level – why it is important to correctly account for the structure of temporal data. PLoS ONE, 11(3), Article e0150771. https://doi.org/10.1371/journal.pone.0150771
13. Mace R., Holden C. J., (2005). A phylogenetic approach to cultural evolution. Trends in Ecology & Evolution, 20, 116–121. doi:10.1016/j.tree.2004.12.002
14. Murray D. R., Schaller M., Suedfeld P., (2013). Pathogens and politics: Further evidence that parasite prevalence predicts authoritarianism. PLoS ONE, 8(5), Article e62275. doi:10.1371/journal.pone.0062275
15. Pollet T. V., Tybur J. M., Frankenhuis W. E., Rickard I. J., (2014). What can cross-cultural correlations teach us about human nature? Human Nature, 25, 410–429. doi:10.1007/s12110-014-9206-3
16. Schaller M., Murray D. R., (2008). Pathogens, personality, and culture: Disease prevalence predicts worldwide variability in sociosexuality, extraversion, and openness to experience. Journal of Personality and Social Psychology, 95, 212–221. doi:10.1037/0022-3514.95.1.212
17. Yule G. U., (1926). Why do we sometimes get nonsense-correlations between time-series?–a study in sampling and the nature of time-series. Journal of the Royal Statistical Society, 89, 1–63.