Is N-Hacking Ever OK? The consequences of collecting more data in pursuit of statistical significance
出版年份 2023 全文链接
标题
Is N-Hacking Ever OK? The consequences of collecting more data in pursuit of statistical significance
作者
关键词
-
出版物
PLOS BIOLOGY
Volume 21, Issue 11, Pages e3002345
出版商
Public Library of Science (PLoS)
发表日期
2023-11-01
DOI
10.1371/journal.pbio.3002345
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- A critique of using the labels confirmatory and exploratory in modern psychological research
- (2022) Ross Jacobucci Frontiers in Psychology
- Large survey finds questionable research practices are common
- (2021) Jop de Vrieze SCIENCE
- Prevalence of Research Misconduct and Questionable Research Practices: A Systematic Review and Meta-Analysis
- (2021) Yu Xie et al. SCIENCE AND ENGINEERING ETHICS
- Personal Motivations and Systemic Incentives: Scientists on Questionable Research Practices
- (2020) Samuel V. Bruton et al. SCIENCE AND ENGINEERING ETHICS
- Low replicability can support robust and efficient science
- (2020) Stephan Lewandowsky et al. Nature Communications
- Questionable research practices may have little effect on replicability
- (2020) Rolf Ulrich et al. eLife
- A New Account of Replication in the Experimental Life Sciences
- (2019) Stephan Guttinger PHILOSOPHY OF SCIENCE
- The Limited Role of Formal Statistical Inference in Scientific Inference
- (2019) Raymond Hubbard et al. AMERICAN STATISTICIAN
- Assessing the Efficacy of a Training Intervention to Reduce Acceptance of Questionable Research Practices in Psychology Graduate Students
- (2019) Donald F. Sacco et al. Journal of Empirical Research on Human Research Ethics
- The problem with unadjusted multiple and sequential statistical testing
- (2019) Casper Albers Nature Communications
- Scientific discovery in a model-centric framework: Reproducibility, innovation, and epistemic diversity
- (2019) Berna Devezer et al. PLoS One
- Statistical Analysis Must Improve to Address the Reproducibility Crisis: The ACcess to Transparent Statistics (ACTS) Call to Action
- (2019) Romain‐Daniel Gosselin BIOESSAYS
- Replications Everywhere
- (2018) Stephan Guttinger BIOESSAYS
- Questionable research practices in ecology and evolution
- (2018) Hannah Fraser et al. PLoS One
- What exactly is ‘N’ in cell culture and animal experiments?
- (2018) Stanley E. Lazic et al. PLOS BIOLOGY
- Statistical mistakes and how to avoid them – lessons learned from the reproducibility crisis
- (2018) A. Turkiewicz et al. OSTEOARTHRITIS AND CARTILAGE
- The Extent and Consequences of P-Hacking in Science
- (2015) Megan L. Head et al. PLOS BIOLOGY
- Common misconceptions about data analysis and statistics
- (2014) Harvey J. Motulsky NAUNYN-SCHMIEDEBERGS ARCHIVES OF PHARMACOLOGY
- An investigation of the false discovery rate and the misinterpretation of p-values
- (2014) D. Colquhoun Royal Society Open Science
- Statistical inference for exploratory data analysis and model diagnostics
- (2009) A. Buja et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now