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Daniel Lakens
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135 followers
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Does Your Philosophy of Science Matter in Practice?
In my personal experience philosophy
of science rarely directly plays a role in how most scientists do research.
Here I’d like to explore ways in which your philosophy of science might
slightly shift how you weigh what you focus on when you do research. I’l...
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Testing whether observed data should surprise us, under the assumption that some model of the data is true, is a widely used procedure in psychological science. Tests against a null model, or against the smallest effect size of interest for an equivalence t...
The 20% Statistician
The 20% Statistician
daniellakens.blogspot.com
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Equivalence Testing and the Second Generation P-Value
Recently Blume, D’Agostino McGowan, Dupont,
& Greevy (2018) published an article titled: “Second-generation p -values:
Improved rigor, reproducibility, & transparency in statistical analyses”.
As it happens, I would greatly appreciate more rigor, reproducib...
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Strong versus Weak Hypothesis Tests
Strong versus Weak Hypothesis Tests
daniellakens.blogspot.com
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Strong versus Weak Hypothesis Tests
The goal of a hypothesis test is to carefully examine whether predictions that are derived from a scientific theory hold up under scrutiny. Not all predictions we can test are equally exciting. For example, if a researcher asks two groups to report their mo...
Strong versus Weak Hypothesis Tests
Strong versus Weak Hypothesis Tests
daniellakens.blogspot.com
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Moving Beyond Magnitude Based Inferences
In a recent ThirtyFiveEight article, a statistical approach known as magnitude based inferences, popular in sports sciences, was severely criticized. Critically evaluating approaches to statistical inferences is important. In my own work on statistical infe...
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Prestige and Punishment: Preventing Norm Violations in Science
When the scientific discipline started to emerge, Bacon ( 1620 ) remarked: “And
it is nothing strange if a thing not held in honour does not prosper”. His idea
was that we need to give honour to scientists who do good work, otherwise no
one would want to be...
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