Open AccessStatistical Power in Content Analysis Designs: How Effect Size, Sample Size and Coding Accuracy Jointly Affect Hypothesis Testing – A Monte Carlo Simulation Approach.
Author(s) -
Stefan Geiß
Publication year - 2021
Publication title -
computational communication research
Language(s) - English
Resource type - Journals
ISSN - 2665-9085
DOI - 10.5117/ccr2021.1.003.geis
Subject(s) - sample size determination , monte carlo method , statistical power , rule of thumb , type i and type ii errors , statistics , computer science , statistical hypothesis testing , coding (social sciences) , reliability (semiconductor) , context (archaeology) , reliability engineering , power (physics) , econometrics , algorithm , mathematics , engineering , paleontology , physics , quantum mechanics , biology