References
- American Psychological Association. (1994). Publication manual of the American Psychological Association (4th ed.). Washington, DC: APA.
- Aschwanden, C. (2015, November 24). Not even scientist can easily explain p-values. FiveThirtyEight. Retrieved from http://fivethirtyeight.com/features/not-even-scientists-can-easily-explain-p-values/
- Bowman, N. D. (2016). Research reports as the “nuts and bolts” of communication research. Communication Research Reports, 33(2), 87. doi: 10.1080/08824096.2016.1174536
- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates.
- Communication Research Reports. (2017). Instructions for authors. Retrieved from http://www.tandfonline.com/action/authorSubmission?show=instructions&journalCode=rcrr20
- Eddy, S. R. (2004). What is Bayesian statistics? Nature Biotechnology, 22, 1177–1178. doi: 10.1038/nbt0904-1177.
- Edwards, M. A., & Roy, S. (2017). Academic research in the 21st century: Maintaining scientific integrity in a climate of perverse incentives and hypercompetition. Environmental Engineering Science, 34(1), 51–61. doi: 10.1089/ees.2016.0223
- Fidler, F. (2010). The American Psychological Association publication manual, 6th edition: Implications for statistics education. In C. Reading (Ed)., Data and context in statistics education: Towards an evidence-based society. Voorberg, Netherlands: International Association of Statistics Education.
- Kline, R. (2013). Beyond significance testing. Washington, D.C.: APA.
- Lakens, D. (2013). Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAs. Frontiers of Psychology, 26. doi: 10.3389/fpsyg.2013.00863
- Lakens, D. & Evers, E. R. K. (2014). Sailing from the seas of chaos into the corridor or stability. Perspectives on Psychological Science, 9(3). 278–292. doi: 10.1177/1745691614528520
- Lenhard, W. & Lenhard, A. (2016). Calculation of Effect Sizes. Available at https://www.psychometrica.de/effect_size.html. Bibergau (Germany): Psychometrica. doi: 10.13140/RG.2.1.3478.4245
- Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings. Thousand Oaks, CA: Sage.
- Sullivan, G. M. & Feinn, R. (2012). Using effect sizes—or why the p-value is not enough. Journal of Graduate Medical Education, 4(3), 279–282. doi: 10.4300.JGME-D-12-00156.1
- Weber, R., & Popova, L. (2012). Testing equivalence in communication research: Theory and application. Communication Methods & Measures, 6, 190–213. doi: 10.1080/19312458.2012.703834