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Recommended reading
- Cooksey RW, Cooksey RW. Descriptive statistics for summarising data. Illustrating statistical procedures: Finding meaning in quantitative data. 2020:61-139.
- Schober P, Mascha EJ, Vetter TR. Statistics From A (Agreement) to Z (z Score): A Guide to Interpreting Common Measures of Association, Agreement, Diagnostic Accuracy, Effect Size, Heterogeneity, and Reliability in Medical Research. Anesth Analg. 2021;133(6):1633-1641. doi:10.1213/ane.0000000000005773
- Griffiths P, Needleman J. Statistical significance testing and p-values: Defending the indefensible? A discussion paper and position statement. Int J Nurs Stud. 2019/11/01/ 2019;99:103384. doi:https://doi.org/10.1016/j.ijnurstu.2019.07.001
- Meyer KE, Van Witteloostuijn A, Beugelsdijk S. What’s in ap? Reassessing best practices for conducting and reporting hypothesis-testing research. Research Methods in International Business. 2020:77-110.
- Berner D, Amrhein V. Why and how we should join the shift from significance testing to estimation. J Evol Biol. 2022;35(6):777-787. doi:10.1111/jeb.14009
- Staggs VS. Pervasive errors in hypothesis testing: Toward better statistical practice in nursing research. Int J Nurs Stud. 2019/10/01/ 2019;98:87-93. doi:https://doi.org/10.1016/j.ijnurstu.2019.06.012