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Brazilian Political Science Review (BPSR) is committed to the diffusion of high-work produced on topics of political science and international relations, thereby contributing to the exchange of ideas in the international political science community and the internationalization of scientific knowledge produced in Brazil.
Notice to Readers: All the datasets published by the Brazilian Political Science Review are available at: https://dataverse.harvard.edu/dataverse/bpsr
Brazilian Political Science Review (BPSR) is committed to the diffusion of high-work produced on topics of political science and international relations, thereby contributing to the exchange of ideas in the international political science community and the internationalization of scientific knowledge produced in Brazil.
Notice to Readers: All the datasets published by the Brazilian Political Science Review are available at: https://dataverse.harvard.edu/dataverse/bpsr
04/Feb/2013
Dalson Britto Figueiredo Filho, Ranulfo Paranhos, Enivaldo C. da Rocha, Mariana Batista, José Alexandre da Silva Jr., Manoel L. Wanderley D. Santos, [...]
DOI: 10.1590/1981-382171201300031
The article provides a non-technical introduction to the p value statistics. Its main purpose is to help researchers make sense of the appropriate role of the p value statistics in empirical political science research. On methodological grounds, we use replication, simulations and observational data to show when statistical significance is not significant. We argue that: (1) scholars must always graphically analyze their data before interpreting the p value; (2) it is pointless to estimate the p value for non-random samples; […]
Keywords: p value statistics; significance tests; statistical significance