Researcher degrees of freedom in statistical software contribute to unreliable results: A comparison of nonparametric analyses conducted in SPSS, SAS, Stata, and R.

MLA

Hodges, Cooper B., et al. “Researcher Degrees of Freedom in Statistical Software Contribute to Unreliable Results: A Comparison of Nonparametric Analyses Conducted in SPSS, SAS, Stata, and R.” Behavior Research Methods, vol. 55, no. 6, Sept. 2023, pp. 2813–37. EBSCOhost, https://doi.org/10.3758/s13428-022-01932-2.

APA

Hodges, C. B., Stone, B. M., Johnson, P. K., Carter, J. H., 3rd, Sawyers, C. K., Roby, P. R., & Lindsey, H. M. (2023). Researcher degrees of freedom in statistical software contribute to unreliable results: A comparison of nonparametric analyses conducted in SPSS, SAS, Stata, and R. Behavior Research Methods, 55(6), 2813–2837. https://doi.org/10.3758/s13428-022-01932-2

Chicago

Hodges, Cooper B, Bryant M Stone, Paula K Johnson, James H Carter 3rd, Chelsea K Sawyers, Patricia R Roby, and Hannah M Lindsey. 2023. “Researcher Degrees of Freedom in Statistical Software Contribute to Unreliable Results: A Comparison of Nonparametric Analyses Conducted in SPSS, SAS, Stata, and R.” Behavior Research Methods 55 (6): 2813–37. doi:10.3758/s13428-022-01932-2.