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An analysis of the quality of experimental design and reliability of results in tribology research
13 references·0 citing·33 second hop
An analysis of the quality of experimental design and reliability of results in tribology research (2019)An analysis of the quality of experimenta…Redefine statistical significance (2017)Redefine statistical signific…Estimating the reproducibility of psychological science (2015)Estimating the reproducibilit…Power failure: why small sample size undermines the reliability of neuroscience (2013)Power failure: why small samp…Publication bias: What are the challenges and can they be overcome? (2012)Publication bias: What are th…Effect of reporting bias on meta-analyses of drug trials: reanalysis of meta-analyses (2012)Effect of reporting bias on m…False-Positive Psychology (2011)False-Positive PsychologyA General Framework for the Evaluation of Clinical Trial Quality (2009)A General Framework for the E…Why Most Discovered True Associations Are Inflated (2008)Why Most Discovered True Asso…Why Most Published Research Findings Are False (2005)Why Most Published Research F…Why Most Published Research Findings Are False (2005)Why Most Published Research F…The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials (2001)The CONSORT statement: revise…A power primer. (1992)A power primer.Meta-analysis in social research (1982)Meta-analysis in social resea…Conducting Meta-Analyses in R with the metafor Package (2010)Calculating and reporting effect sizes to facilitate cumulative science: a practical primer for t-tests and ANOVAs (2013)Estimating Psychological Networks and their Accuracy: A Tutorial Paper (2016)A tutorial on regularized partial correlation networks. (2018)G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences (2007)Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials (2011)Meta-analysis and the science of research synthesis (2018)Sample Size Justification (2022)Empirical Evidence of Bias (1995)Empirical evidence of bias. Dimensions of methodological quality associated with estimates of treatment effects in controlled trials (1995)Meta-analysis of Observational Studies in Epidemiology A Proposal for Reporting (2000)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies (2007)The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for Reporting Observational Studies (2007)Cochrane Handbook for Systematic Reviews of Interventions (2008)Improving the quality of reports of meta-analyses of randomised controlled trials: the QUOROM statement (1999)The Revised CONSORT Statement for Reporting Randomized Trials: Explanation and Elaboration (2001)Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007)How Big Is “Big”? Interpreting Effect Sizes in L2 Research (2014)Increasing value and reducing waste in research design, conduct, and analysis (2014)Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning (2017)Biased evaluation and persistence in gambling. (1983)The case for motivated reasoning. (1990)The New Statistics (2013)Reproducibility in Science (2014)Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015 (2018)Many Labs 2: Investigating Variation in Replicability Across Samples and Settings (2018)How Many Participants Do We Have to Include in Properly Powered Experiments? A Tutorial of Power Analysis with Reference Tables (2019)Socioeconomic Status and Academic Achievement: A Meta-Analytic Review of Research (2005)A meta-analytic test of intergroup contact theory. (2006)Efficacy of the Theory of Planned Behaviour: A meta‐analytic review (2001)A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition. (2002)Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration1 (2009)The ethics of algorithms: Mapping the debate (2016)
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References

  • 1992A power primer.42,571 cited
  • 2005Why Most Published Research Findings Are False10,471 cited
  • 2015Estimating the reproducibility of psychological science8,516 cited
  • 2013Power failure: why small sample size undermines the reliability of neuroscience7,634 cited
  • 2011False-Positive Psychology6,561 cited
  • 2001The CONSORT statement: revised recommendations for improving the quality of reports of parallel-group randomised trials5,372 cited
  • 2005Why Most Published Research Findings Are False4,702 cited
  • 1982Meta-analysis in social research3,912 cited
  • 2017Redefine statistical significance2,771 cited
  • 2008Why Most Discovered True Associations Are Inflated1,489 cited
  • 2012Publication bias: What are the challenges and can they be overcome?381 cited
  • 2012Effect of reporting bias on meta-analyses of drug trials: reanalysis of meta-analyses254 cited
  • 2009A General Framework for the Evaluation of Clinical Trial Quality251 cited

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