Referências
Livros e textos gerais
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum Associates.
Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics (4th ed.). Sage.
Larson, R., & Farber, B. (2013). Estatística Aplicada (5ª ed.). Pearson. (fonte do exercício do capítulo de Regressão)
Wickham, H., Çetinkaya-Rundel, M., & Grolemund, G. (2023). R para Ciência de Dados (2ª ed.). https://pt.r4ds.hadley.nz/
Tamanho do efeito
Cliff, N. (1993). Dominance statistics: Ordinal analyses to answer ordinal questions. Psychological Bulletin, 114(3), 494-509. https://doi.org/10.1037/0033-2909.114.3.494
Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
Romano, J., Kromrey, J. D., Coraggio, J., & Skowronek, J. (2006). Appropriate statistics for ordinal level data: Should we really be using t-test and Cohen’s d for evaluating group differences on the NSSE and other surveys? Annual Meeting of the Florida Association of Institutional Research, Jacksonville, FL, USA.
Cálculo amostral e poder em testes não paramétricos
Lehmann, E. L. (2006). Nonparametrics: Statistical Methods Based on Ranks (Revised ed.). Springer.
Noether, G. E. (1987). Sample size determination for some common nonparametric tests. Journal of the American Statistical Association, 82(398), 645-647. https://doi.org/10.1080/01621459.1987.10478478
Testes de normalidade, assimetria e curtose
Anderson, T. W., & Darling, D. A. (1954). A test of goodness of fit. Journal of the American Statistical Association, 49(268), 765-769. https://doi.org/10.1080/01621459.1954.10501232
Anscombe, F. J., & Glynn, W. J. (1983). Distribution of the kurtosis statistic b2 for normal samples. Biometrika, 70(1), 227-234. https://doi.org/10.1093/biomet/70.1.227
D’Agostino, R. B. (1970). Transformation to normality of the null distribution of g1. Biometrika, 57(3), 679-681. https://doi.org/10.1093/biomet/57.3.679
Lilliefors, H. W. (1967). On the Kolmogorov-Smirnov test for normality with mean and variance unknown. Journal of the American Statistical Association, 62(318), 399-402. https://doi.org/10.1080/01621459.1967.10482916
Shapiro, S. S., & Wilk, M. B. (1965). An analysis of variance test for normality (complete samples). Biometrika, 52(3-4), 591-611. https://doi.org/10.1093/biomet/52.3-4.591
Comparação entre grupos e ANOVA
Dunn, O. J. (1964). Multiple comparisons using rank sums. Technometrics, 6(3), 241-252. https://doi.org/10.1080/00401706.1964.10490181
Greenhouse, S. W., & Geisser, S. (1959). On methods in the analysis of profile data. Psychometrika, 24(2), 95-112. https://doi.org/10.1007/BF02289823
Gráficos e instrumentos
De Rose Jr., D. (1998). Lista de sintomas de estresse pré-competitivo infanto-juvenil: elaboração e validação de um instrumento. Revista Paulista de Educação Física, 12(2), 126-133.
Sturges, H. A. (1926). The choice of a class interval. Journal of the American Statistical Association, 21(153), 65-66. https://doi.org/10.1080/01621459.1926.10502161
Ciência aberta e dados abertos
Saldanha, R., Bastos, R., & Barcellos, C. (2019). Microdatasus: pacote para download e pré-processamento de microdados do Departamento de Informática do SUS (DATASUS). Cadernos de Saúde Pública, 35(9), 1-9. https://doi.org/10.1590/0102-311x00032419
UNESCO (2021). Recomendação da UNESCO sobre Ciência Aberta. Paris: UNESCO. https://www.unesco.org/en/open-science
Wilkinson, M. D., et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. https://doi.org/10.1038/sdata.2016.18
BRASIL. Ministério da Saúde. Sistema de Informações sobre Nascidos Vivos (SINASC). Brasília: DATASUS. https://datasus.saude.gov.br
Software
R Core Team (2025). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Xie, Y. (2016). bookdown: Authoring Books and Technical Documents with R Markdown. Chapman and Hall/CRC. https://bookdown.org/yihui/bookdown/