Geiß, S. (2021). Statistical power in content analysis designs: How effect size, sample size and coding accuracy jointly affect hypothesis testing—A Monte Carlo simulation approach. Computational communication research, 3(1), 61-89. https://doi.org/10.5117/CCR2021.1.003.GEIS
Citace podle Chicago (17th ed.)Geiß, Stefan. "Statistical Power in Content Analysis Designs: How Effect Size, Sample Size and Coding Accuracy Jointly Affect Hypothesis Testing—A Monte Carlo Simulation Approach." Computational Communication Research 3, no. 1 (2021): 61-89. https://doi.org/10.5117/CCR2021.1.003.GEIS.
Citace podle MLA (9th ed.)Geiß, Stefan. "Statistical Power in Content Analysis Designs: How Effect Size, Sample Size and Coding Accuracy Jointly Affect Hypothesis Testing—A Monte Carlo Simulation Approach." Computational Communication Research, vol. 3, no. 1, 2021, pp. 61-89, https://doi.org/10.5117/CCR2021.1.003.GEIS.