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• W4295027616 abstract "This paper discusses ‘strong-form’ frequentist testing as a useful complement to null hypothesis testing in communication science. In a ‘strong-form’ set-up a researcher defines a hypothetical effect size of (minimal) theoretical interest and assesses to what extent her findings falsify or corroborate that particular hypothesis. We argue that the idea of ‘strong-form’ testing aligns closely with the ideals of the movements for scientific reform, discuss its technical application within the context of the General Linear Model, and show how the relevant P-value-like quantities can be calculated and interpreted. We also provide examples and a simulation to illustrate how a strong-form set-up requires more nuanced reflections about research findings. In addition, we discuss some pitfalls that might still hold back strong-form tests from widespread adoption." @default.
• W4295027616 created "2022-09-09" @default.
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• W4295027616 date "2022-09-09" @default.
• W4295027616 modified "2023-09-30" @default.
• W4295027616 title "Strong-Form Frequentist Testing In Communication Science: Principles, Opportunities, And Challenges" @default.
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• W4295027616 doi "https://doi.org/10.1080/19312458.2022.2086690" @default.
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