Tutorial for Carrying out the Pearson Chi-Square Test in Excel and IBM SPSS
Examples from the Leisure Area
DOI:
https://doi.org/10.35699/2447-6218.2024.54954Keywords:
Leisure activities, Statistics, Chi-Squared, RecreationAbstract
The Chi-Square goodness-of-fit and independence tests are two of the most used with categorical data. However, these tests are sometimes misinterpreted. Furthermore, there is no tutorial published in Portuguese on how to perform and interpret these tests. To fill this gap in the literature, we present a tutorial for carrying out the Chi-Square goodness-of-fit and independence tests in Excel and IBM SPSS. We used published articles and fictitious data related to the leisure area as examples. We hope to facilitate the use and correct interpretation of Chi-Square tests by researchers.
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AMRHEIN, Valentin; GREENLAND, Sander; MCSHANE, Blake. Scientists rise up against statistical significance. Nature, v. 567, n. 7748, p. 305–307, 20 mar. 2019. DOI: https://doi.org/10.1038/d41586-019-00857-9
BIFFIGNANDI, Silvia; BETHLEHEM, Jelke. Handbook of web surveys. Second ed. NJ: John Wiley & Sons, Inc., 2021. DOI: https://doi.org/10.1002/9781119371717
CUMMING, Geoff. The new statistics: Why and how. Psychological Science, v. 25, n. 1, p. 7–29, jan. 2014. DOI: https://doi.org/10.1177/0956797613504966
FRANKE, Todd Michael; HO, Timothy; CHRISTIE, Christina A. The chi-square test: Often used and more often misinterpreted. American Journal of Evaluation, v. 33, n. 3, p. 448–458, 8 set. 2012. DOI: https://doi.org/10.1177/1098214011426594
MCHUGH, Mary L. The Chi-square test of independence. Biochemia Medica, v. 23, n. 2, p. 143–149, 2013. DOI: https://doi.org/10.11613/BM.2013.018
MUFF, Stefanie et al. Response to ‘Why P values are not measures of evidence’ by D. Lakens. Trends in Ecology & Evolution, v. 37, n. 4, p. 291–292, abr. 2022. DOI: https://doi.org/10.1016/j.tree.2022.01.001
OLIVEIRA, Késsia Mirian Jesus De et al. Atividades de Lazer em Adultos Quilombolas de uma Região Baiana. LICERE - Revista do Programa de Pós-graduação Interdisciplinar em Estudos do Lazer, v. 24, n. 3, p. 251–268, 27 set. 2021. DOI: https://doi.org/10.35699/2447-6218.2021.36314
RANA, Rakesh; SINGHAL, Richa. Chi-square test and its application in hypothesis testing. Journal of the Practice of Cardiovascular Sciences, v. 1, n. 1, p. 69–71, 2015. DOI: https://doi.org/10.4103/2395-5414.157577
ROSA, Claudio D. et al. Gender Differences in Connection to Nature, Outdoor Preferences, and Nature-Based Recreation Among College Students in Brazil and the United States. Leisure Sciences, v. 45, n. 2, p. 135–155, 17 fev. 2023. DOI: https://doi.org/10.1080/01490400.2020.1800538
ROSA, Claudio D.; YAMADA, André Katayma; MENUCHI, Marcos R. T. P. Atividade Física de Lazer e seu Relacionamento com Gênero e Tempo de Caminhada até o Parque ou Academia. LICERE - Revista do Programa de Pós-graduação Interdisciplinar em Estudos do Lazer, v. 26, n. 3, p. 78–92, 2023. DOI: https://doi.org/10.35699/2447-6218.2023.48218
SHARPE, Donald. Chi-Square Test is Statistically Significant: Now What? Practical Assessment, Research, and Evaluation, v. 20, n. 8, p. 1–10, 2015.
THOMAS, Jerry R; NELSON, Jack K; SILVERMAN, Stephen J. Métodos de pesquisa em atividade física. 5. ed. Porto Alegre: Artmed, 2007.
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