Results 11 to 20 of about 11,330,431 (362)
Multivariate Behavioral Research, 2022 Researchers with mediation hypotheses must consider which design to use: within-subject or between-subject? In this paper, I argue that three factors should influence design choice: validity, causality, and statistical power.
A. Montoya
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Correction: Why Psychologists Should by Default Use Welch’s 't'-test Instead of Student’s 't'-test
International Review of Social Psychology, 2022 This article details a correction to: Delacre, M., Lakens, D., & Leys, C. (2017). Why Psychologists Should by Default Use Welch’s 't'-test Instead of Student’s t-test. 'International Review of Social Psychology', 30(1), 92–101.
Marie Delacre +2 more
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Frontiers in Genetics, 2021 Genome-wide association study (GWAS) has identified thousands of genetic variants associated with complex traits and diseases. Compared with analyzing a single phenotype at a time, the joint analysis of multiple phenotypes can improve statistical power ...
Fengrong Liu +6 more
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Frontiers in Virtual Reality, 2023 Reading is a crucial aspect of the extended reality (XR) experience across various professional and recreational contexts. Legibility, which is defined as the ease with which a character can be recognized, is an essential determinant of readability.
Markku Kilpeläinen, Jukka Häkkinen
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Nature Reviews Physics, 4, 501-503 (2022), 2022 Getting the most from power-law-type data can be challenging. James Sethna points out some of the pitfalls in studying power laws arising from emergent scale invariance, as well as important opportunities.
arxiv +1 more source
Understanding Statistical Power [PDF]
Journal of Orthopaedic & Sports Physical Therapy, 2001 This article provides an introduction to power analysis so that readers have a basis for understanding the importance of statistical power when planning research and interpreting the results. A simple hypothetical study is used as the context for discussion.
Barbara J. Norton, Michael J. Strube
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Calculating statistical power for meta-analysis using metapower
, 2021 Meta-analysis is an influential evidence synthesis technique that summarizes a body of research. Though impactful, meta-analyses fundamentally depend on the literature being sufficiently large to generate meaningful conclusions.
Jason W. Griffin
semanticscholar +1 more source
The mathematics and statistics of voting power [PDF]
Statistical Science, 2002 ¤We thank Peter Dodds, Amit Gandhi, Yuval Peres, Hal Stern, Jan Vecer, and Tian Zheng for helpful discussions. This work was supported in part by grants SES-9987748 and SES-0084368 of the U.S. National Science Foundation. Published as Gelman, A., Katz, J.N., & Tuerlinckx, F. (2002). The mathematics and statistics of voting power. Statistical Science,
Gelman, Andrew +2 more
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Effect size, confidence intervals and statistical power in psychological research. [PDF]
Psychology in Russia: State of Art, 2015 Quantitative psychological research is focused on detecting the occurrence of certain population phenomena by analyzing data from a sample, and statistics is a particularly helpful mathematical tool that is used by researchers to evaluate hypotheses and ...
Téllez A. +2 more
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On the Power of Statistical Zero Knowledge [PDF]
SIAM Journal on Computing, 2017 We examine the power of statistical zero knowledge proofs (captured by the complexity class SZK) and their variants. First, we give the strongest known relativized evidence that SZK contains hard problems, by exhibiting an oracle relative to which SZK (indeed, even NISZK) is not contained in the class UPP, containing those problems solvable by ...
Adam Bouland +4 more
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