Coffee, data, and jamovi: the perfect recipe for great statistical analysis

Authors

  • Joseph F. Hair Jr. University of South Alabama – USA, Alabama (United States)
  • Evandro Luiz Lopes Escola Superior de Propaganda e Marketing – ESPM, São Paulo (Brazil)
  • Marcelo Luiz Dias da Silva Gabriel Escola Superior de Propaganda e Marketing – ESPM, São Paulo (Brazil)
  • Flávio S. Bizárrias Escola Superior de Propaganda e Marketing – ESPM, São Paulo (Brazil)
  • Dirceu da Silva University of Campinas – UNICAMP, São Paulo (Brazil)

DOI:

https://doi.org/10.24023/FutureJournal/2175-5825/2025.v17i1.921

Keywords:

Software freeware, Data analysis, Jamovi

Abstract

Objetivo: Este artigo apresenta o Jamovi, um software de análise estatística de código aberto baseado na linguagem R. O objetivo principal é demonstrar as funcionalidades do software, destacando sua interface amigável e acessibilidade, tornando-o uma ferramenta ideal tanto para iniciantes quanto para profissionais. Além disso, visa promover o uso de software estatístico livre, reduzindo barreiras técnicas e financeiras na análise de dados.

Método: O estudo conduz uma revisão descritiva e aplicada do Jamovi, cobrindo sua história, desenvolvimento e principais recursos em comparação a outros programas estatísticos como SPSS e SAS. Além disso, um exemplo prático é fornecido, guiando o leitor por etapas essenciais, como importação de dados, testes estatísticos e interpretação de resultados usando o Jamovi.

Resultados: O Jamovi se destaca por sua interface intuitiva, acessibilidade multiplataforma e integração perfeita com R. Ele permite que os usuários realizem análises estatísticas sem exigir amplo conhecimento de programação. Sua comunidade ativa e desenvolvimento contínuo garantem melhorias contínuas e adaptação às necessidades acadêmicas e profissionais.

Conclusão: O Jamovi se mostra uma alternativa poderosa e acessível para análise de dados, amplamente utilizada em áreas como psicologia, saúde pública, educação e marketing. Sua crescente adoção destaca sua viabilidade como ferramenta acadêmica e profissional, promovendo acesso mais democrático à análise estatística.

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Author Biographies

Joseph F. Hair Jr., University of South Alabama – USA, Alabama (United States)

Professor of Marketing and Director of the Ph.D. Program in Business Administration at the Mitchell College of Business, University of South Alabama; holder of the Cleverdon Chair of Business; and holder of the Copeland Endowed Chair of Entrepreneurship at Louisiana State University.

Evandro Luiz Lopes, Escola Superior de Propaganda e Marketing – ESPM, São Paulo (Brazil)

Ph.D. in Business Administration from Universidade Nove de Julho – UNINOVE, São Paulo (Brazil). Full Professor at the Escola Superior de Propaganda e Marketing – ESPM, São Paulo, working in the Graduate Program in Administration – PPGA (academic master’s and doctoral programs).

Marcelo Luiz Dias da Silva Gabriel, Escola Superior de Propaganda e Marketing – ESPM, São Paulo (Brazil)

Ph.D. in Education from the University of Campinas – UNICAMP, São Paulo (Brazil). Professor in the Graduate Program in Administration and in the Professional Master’s Program in Consumer Behavior at the Escola Superior de Propaganda e Marketing – ESPM, São Paulo.

Flávio S. Bizárrias, Escola Superior de Propaganda e Marketing – ESPM, São Paulo (Brazil)

Full Professor at ESPM – Escola Superior de Propaganda e Marketing, participating in the PPGA – Graduate Program in Administration and the MPCC – Professional Master’s Program in Consumer Behavior.

References

Ahmed, A. A., & Muhammad, R. A. (2021). A Beginners review of Jamovi statistical software for economic research. Dutse International Journal of Social and Economic Research, 6(1), 109-118.

Bartlett, J. E., & Charles, S. J. (2022). Power to the People: A Beginner’s Tutorial to Power Analysis using Jamovi. Meta-Psychology, 6.

Caldwell, A. R. (2022). SimplyAgree: an R package and Jamovi module for simplifying agreement and reliability analyses. Journal of Open Source Software, 7(71), 4148.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E. (2019). Multivariate data analysis. (8th ed.). Hampshire, UK: Cengage Learning, EMEA.

Kangiwa, B. I., Ladan, I. M., Nassarawa, H. S., Sabo, S. A., & Umar, M. A. (2024) Free and Open-Source Software for Data Analysis: Leveraging the Potentials of JASP, Jamovi and PSPP in Nigeria Tertiary Institutions. International Journal of Multidisciplinary Research in Science, Technology and Innovation, 3 (1), 1-8.

Leppink, J. (2022). Data analysis: more expensive does not imply better. Revista Española de Educación Médica, 3(2).

Navarro, D. J., & Foxcroft, D. R. (2019). Learning statistics with Jamovi: A tutorial for psychology students and other beginners (Version 0.70). Tillgänglig online: http://learnstatswithJamovi. com [Hämtad 14 december].

Richardson, P., & Machan, L. (2021). Jamovi for Psychologists. Bloomsbury Publishing.

Şahin, M., & Aybek, E. (2019). Jamovi: an easy-to-use statistical software for the social scientists. International Journal of Assessment Tools in Education, 6(4), 670-692.

Stevens, S. S. (1946). On the theory of scales of measurement. Science, 103(2684), 677-680.

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Published

2025-03-24

How to Cite

Hair Jr., J. F., Lopes, E. L., Gabriel, M. L. D. da S., Bizárrias, F. S., & da Silva, D. (2025). Coffee, data, and jamovi: the perfect recipe for great statistical analysis. Future Studies Research Journal: Trends and Strategies, 17(1), e921. https://doi.org/10.24023/FutureJournal/2175-5825/2025.v17i1.921

Issue

Vol. 17 No. 1 (2025): January - December

Section

Artigos / Articles

License

Copyright (c) 2025 Joseph F. Hair Jr., Evandro Luiz Lopes, Marcelo Luiz Dias da Silva Gabriel, Flávio S. Bizárrias, Dirceu da Silva

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