On the persistence of low power in psychological science

scientific article published on 03 March 2014

On the persistence of low power in psychological science is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1080/17470218.2014.885986
P932PMC publication ID4961230
P698PubMed publication ID24528377

P50authorMarcus R. MunafòQ21094872
Jeffrey BowersQ61826242
P2093author name stringIvan Vankov
P2860cites workLocal literature bias in genetic epidemiology: an empirical evaluation of the Chinese literatureQ21563436
False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as SignificantQ24273231
US studies may overestimate effect sizes in softer researchQ24289257
Sifting the evidence-what's wrong with significance tests?Q24524896
Power failure: why small sample size undermines the reliability of neuroscienceQ29547474
The statistical power of abnormal-social psychological research: a review.Q34251841
Citation opportunity cost of the high impact factor obsession.Q43438905
A peculiar prevalence of p values just below .05.Q43447558
Bias in genetic association studies: effects of research location and resourcesQ45205755
Confidence and precision increase with high statistical powerQ45761335
Bite-Size Science and Its Undesired Side EffectsQ47334939
Spurious genetic associations.Q51920874
Misuse of power: in defence of small-scale scienceQ87035551
P433issue5
P921main subjectreproducibilityQ1425625
replication crisisQ25303778
P304page(s)1037-1040
P577publication date2014-03-03
P1433published inQuarterly Journal of Experimental PsychologyQ2874626
P1476titleOn the persistence of low power in psychological science
P478volume67

Reverse relations

cites work (P2860)
Q28341964A manifesto for reproducible science
Q28597738Contextual sensitivity in scientific reproducibility
Q55262180Crisis or self-correction: Rethinking media narratives about the well-being of science.
Q92893632Estimation for Better Inference in Neuroscience
Q30646384Excess success for three related papers on racial bias
Q90090096How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables
Q24273342Is the call to abandon p-values the red herring of the replicability crisis?
Q37722079Low statistical power in biomedical science: a review of three human research domains
Q55109981Manipulating the Alpha Level Cannot Cure Significance Testing.
Q90089863Power Analysis and Effect Size in Mixed Effects Models: A Tutorial
Q28591178Preventing the ends from justifying the means: withholding results to address publication bias in peer-review
Q65002550Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses.
Q43625418Replication in Psychological Science
Q47184608Sample size, statistical power, and false conclusions in infant looking-time research
Q37130633Significance chasing in research practice: causes, consequences and possible solutions
Q38683193The earth is flat (p > 0.05): significance thresholds and the crisis of unreplicable research
Q30491421The influence of journal submission guidelines on authors' reporting of statistics and use of open research practices
Q27333717The natural selection of bad science
Q24273338The pervasive avoidance of prospective statistical power: major consequences and practical solutions
Q93234983Treatment of anorexia nervosa: is it lacking power?

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