Do common dopaminergic variants modulate processing speed in cognitive aging? A longitudinal candidate gene study. [PDF]
Rose MA, Robinson AC, Payton A.
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Bayesian Thinking in the Intensive Care Unit: From Statistical Theory to Clinical Practice. [PDF]
Schultz MJ +4 more
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A Unified Framework for Statistical Inference and Power Analysis of Single and Comparative $$ {F}_{\beta } $$ Scores. [PDF]
Hsu CY, Liu Q, Shyr Y.
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Why reporting requires more than findings. [PDF]
Christensen R +2 more
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Perceived Behavioural Control and Animal-Welfare Ethics Predict Cultured-Meat Acceptance in INDIA: An Extended Theory of Planned Behaviour Analysis. [PDF]
Farooqui N, Kaczmarek AM.
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Repetitive Transcranial Magnetic Stimulation over Right PMd Does Not Affect the Stability of Rhythmic Bimanual Finger Movements. [PDF]
Denyer R +3 more
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In support of null hypothesis significance testing [PDF]
Many criticisms have been levelled at null hypothesis significance testing (NHST). It is argued here that although there is reason to doubt that data subjected only to NHST have been subjected to sufficient analysis, the search for clear answers to well-formulated questions derived from substantive hypotheses is well served by NHST.
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Power Analysis for Null Hypothesis Significance Testing
Clinical Spine Surgery, 2020Before conducting a scientific study, a power analysis is performed to determine the sample size required to test an effect within allowable probabilities of Type I error (α) or Type II error (β). The power of a study is related to Type II error by 1−β. Most scientific studies set α=0.05 and power=0.80 as minimums.
Kristen J, Nicholson +4 more
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Controversies Regarding Null Hypothesis Significance Testing
2022Brian P O'Connor
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A tutorial on a practical Bayesian alternative to null-hypothesis significance testing [PDF]
Null-hypothesis significance testing remains the standard inferential tool in cognitive science despite its serious disadvantages. Primary among these is the fact that the resulting probability value does not tell the researcher what he or she usually wants to know: How probable is a hypothesis, given the obtained data?
Michael Masson
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