scholarly article | Q13442814 |
P50 | author | Marcus R. Munafò | Q21094872 |
Jeffrey Bowers | Q61826242 | ||
P2093 | author name string | Ivan Vankov | |
P2860 | cites work | Local literature bias in genetic epidemiology: an empirical evaluation of the Chinese literature | Q21563436 |
False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant | Q24273231 | ||
US studies may overestimate effect sizes in softer research | Q24289257 | ||
Sifting the evidence-what's wrong with significance tests? | Q24524896 | ||
Power failure: why small sample size undermines the reliability of neuroscience | Q29547474 | ||
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 resources | Q45205755 | ||
Confidence and precision increase with high statistical power | Q45761335 | ||
Bite-Size Science and Its Undesired Side Effects | Q47334939 | ||
Spurious genetic associations. | Q51920874 | ||
Misuse of power: in defence of small-scale science | Q87035551 | ||
P433 | issue | 5 | |
P921 | main subject | reproducibility | Q1425625 |
replication crisis | Q25303778 | ||
P304 | page(s) | 1037-1040 | |
P577 | publication date | 2014-03-03 | |
P1433 | published in | Quarterly Journal of Experimental Psychology | Q2874626 |
P1476 | title | On the persistence of low power in psychological science | |
P478 | volume | 67 |
Q28341964 | A manifesto for reproducible science |
Q28597738 | Contextual sensitivity in scientific reproducibility |
Q55262180 | Crisis or self-correction: Rethinking media narratives about the well-being of science. |
Q92893632 | Estimation for Better Inference in Neuroscience |
Q30646384 | Excess success for three related papers on racial bias |
Q90090096 | How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables |
Q24273342 | Is the call to abandon p-values the red herring of the replicability crisis? |
Q37722079 | Low statistical power in biomedical science: a review of three human research domains |
Q55109981 | Manipulating the Alpha Level Cannot Cure Significance Testing. |
Q90089863 | Power Analysis and Effect Size in Mixed Effects Models: A Tutorial |
Q28591178 | Preventing the ends from justifying the means: withholding results to address publication bias in peer-review |
Q65002550 | Rejection odds and rejection ratios: A proposal for statistical practice in testing hypotheses. |
Q43625418 | Replication in Psychological Science |
Q47184608 | Sample size, statistical power, and false conclusions in infant looking-time research |
Q37130633 | Significance chasing in research practice: causes, consequences and possible solutions |
Q38683193 | The earth is flat (p > 0.05): significance thresholds and the crisis of unreplicable research |
Q30491421 | The influence of journal submission guidelines on authors' reporting of statistics and use of open research practices |
Q27333717 | The natural selection of bad science |
Q24273338 | The pervasive avoidance of prospective statistical power: major consequences and practical solutions |
Q93234983 | Treatment of anorexia nervosa: is it lacking power? |
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