scholarly journals POLITICAL SCIENCE IN BRAZIL: AN ANALYSIS OF ACADEMIC ARTICLES (1966-2015)

2017 ◽  
Vol 7 (2) ◽  
pp. 371-393 ◽  
Author(s):  
Jairo Nicolau ◽  
Lilian Oliveira
Keyword(s):  
Political Science ◽  
Statistical Procedures ◽  
Brazilian Journal

Abstract The article analyses the production of Brazilian political science, as published in six periodicals (Dados, Revista Brasileira de Ciencias Sociais, Novos Estudos Cebrap, Lua Nova,Opiniao Publica and Brazilian Journal of Political Science) over a period of five decades (1966-2015). The text emphasizes two aspects: first, the distribution of articles by thematic areas of political science; and second, the type of method used, with an emphasis on the variety of statistical procedures used by the authors. The article observes the growing volume of articles published by Brazilian political scientists, particularly from the second half of the 1990s. One of the conclusions of the paper is that although statistics are used - and in recent years more advanced techniques have spread - Brazilian political science is far from being considered an eminently quantitative discipline.

scholarly journals Analiza regresji z programem R – przykład użycia w badaniach politologicznych

2020 ◽  
Vol 2020 (55) ◽  
pp. 396-405
Author(s):  
Mateusz Wajzer ◽  
Monika Cugier-Syguła
Keyword(s):  
Political Science ◽  
Voter Turnout ◽  
Regression Models ◽  
Degree Polynomial ◽  
Postgraduate Students ◽  
Statistical Procedures ◽  
R Program ◽  
Polynomial Models ◽  
The Creation ◽  
Second Degree

The aim of the article is to present the basic functionalities of the R program for the creation of regression models describing political phenomena. A database of voter turnout during the 2014 U.S. Congress elections categorised according to voters’ age was used for the analyses. The statistical procedures (linear and second-degree polynomial models) applied were discussed in detail, with paths to their respective commands being provided. The article is addressed primarily to postgraduate students in political science and related disciplines, as well as to researchers who have never used the R program before.

Which Data to Meta-Analyze, and How?

2019 ◽  
Vol 227 (1) ◽  
pp. 64-82 ◽  
Author(s):  
Martin Voracek ◽  
Michael Kossmeier ◽  
Ulrich S. Tran
Keyword(s):  
Empirical Research ◽  
Meta Analysis ◽  
Curve Analysis ◽  
Research Progress ◽  
Primary Data ◽  
Statistical Procedures ◽  
Graphical Displays ◽  
Primary Data Analysis ◽  
Meta Analyses ◽  
Data Analytic

Abstract. Which data to analyze, and how, are fundamental questions of all empirical research. As there are always numerous flexibilities in data-analytic decisions (a “garden of forking paths”), this poses perennial problems to all empirical research. Specification-curve analysis and multiverse analysis have recently been proposed as solutions to these issues. Building on the structural analogies between primary data analysis and meta-analysis, we transform and adapt these approaches to the meta-analytic level, in tandem with combinatorial meta-analysis. We explain the rationale of this idea, suggest descriptive and inferential statistical procedures, as well as graphical displays, provide code for meta-analytic practitioners to generate and use these, and present a fully worked real example from digit ratio (2D:4D) research, totaling 1,592 meta-analytic specifications. Specification-curve and multiverse meta-analysis holds promise to resolve conflicting meta-analyses, contested evidence, controversial empirical literatures, and polarized research, and to mitigate the associated detrimental effects of these phenomena on research progress.

The state of political science, 2020

2020 ◽  
Author(s):  
Magnus Rom Jensen ◽  
Jonathon W. Moses
Keyword(s):  
Political Science ◽  
The State
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