Statistical power in content analysis designs: How effect size, sample size and coding accuracy jointly affect hypothesis testing—A Monte Carlo simulation approach

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Veröffentlicht in:Computational communication research Jg. 3; H. 1; S. 61 - 89
1. Verfasser: Geiß, Stefan
Format: Journal Article
Sprache:Englisch
Veröffentlicht: 01.03.2021
ISSN:2665-9085, 2665-9085
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Author Geiß, Stefan
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Title Statistical power in content analysis designs: How effect size, sample size and coding accuracy jointly affect hypothesis testing—A Monte Carlo simulation approach
Statistical Power in Content Analysis Designs: How Effect Size, Sample Size and Coding Accuracy Jointly Affect Hypothesis Testing – A Monte Carlo Simulation Approach
Volume 3
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