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HARKing and P-Hacking: A Call for More Transparent Reporting of Studies in the Information Systems Field
16 references·0 citing·40 second hop
HARKing and P-Hacking: A Call for More Transparent Reporting of Studies in the Information Systems Field (2023)HARKing and P-Hacking: A Call for More Tr…What You See Is What You Get? Enhancing Methodological Transparency in Management Research (2017)What You See Is What You Get?…Presidential Address: The Scientific Outlook in Financial Economics (2017)Presidential Address: The Sci…Harking, Sharking, and Tharking (2016)Harking, Sharking, and Tharki…Degrees of Freedom in Planning, Running, Analyzing, and Reporting Psychological Studies: A Checklist to Avoid p-Hacking (2016)Degrees of Freedom in Plannin…The Extent and Consequences of P-Hacking in Science (2015)The Extent and Consequences o…How scientists fool themselves – and how they can stop (2015)How scientists fool themselve…False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant. (2015)False-positive psychology: Un…A primer on partial least squares structural equation modeling (PLS-SEM) (2015)A primer on partial least squ…Scientific method: Statistical errors (2014)Scientific method: Statistica…Publication bias in the social sciences: Unlocking the file drawer (2014)Publication bias in the socia…A primer on partial least squares structural equation modeling (PLS-SEM) (2014)A primer on partial least squ…P-curve: A key to the file-drawer. (2013)P-curve: A key to the file-dr…Life after P-Hacking (2013)Life after P-HackingMeasuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling (2012)Measuring the Prevalence of Q…False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant (2011)False-Positive Psychology: Un…HARKing: Hypothesizing After the Results are Known (1998)HARKing: Hypothesizing After …The file drawer problem and tolerance for null results. (1979)Meta-analysis in social research (1982)Bias in meta-analysis detected by a simple, graphical test (1997)The Generalizability of Survey Experiments (2015)The natural selection of bad science (2016)A New Paradigm for Systematic Literature Reviews in Supply Chain Management (2017)Why Most Published Research Findings Are False (2005)Why Most Published Research Findings Are False (2005)False-Positive Psychology (2011)The fickle P value generates irreproducible results (2015)GRADE guidelines 26: informative statements to communicate the findings of systematic reviews of interventions (2019)The case for motivated reasoning. (1990)An Open, Large-Scale, Collaborative Effort to Estimate the Reproducibility of Psychological Science (2012)Recommendations for Increasing Replicability in Psychology (2013)Replicability, Robustness, and Reproducibility in Psychological Science (2021)Strong Inference (1964)The Methodology of Scientific Research Programmes (1978)Shall we Really do it Again? The Powerful Concept of Replication is Neglected in the Social Sciences (2009)Scientific Utopia (2012)The Logic of Scientific Discovery (2013)Estimating the reproducibility of psychological science (2015)The Hong Kong Principles for assessing researchers: Fostering research integrity (2020)Small Effects: The Indispensable Foundation for a Cumulative Psychological Science (2021)CAPITAL ASSET PRICES: A THEORY OF MARKET EQUILIBRIUM UNDER CONDITIONS OF RISK* (1964)Risk, Return, and Equilibrium: Empirical Tests (1973)The Cross-Section of Expected Stock Returns (1992)Macro-Finance (2017)Anomalies across the globe: Once public, no longer existent? (2019)Dissecting climate risks: Are they reflected in stock prices? (2023)Experimental and Quasi-Experimental Designs for Research (1963)A power primer. (1992)Mini Meta‐Analysis of Your Own Studies: Some Arguments on Why and a Primer on How (2016)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)Partial least squares structural equation modeling (PLS-SEM) (2014)When to use and how to report the results of PLS-SEM (2018)Common Beliefs and Reality About PLS (2014)Assessing measurement model quality in PLS-SEM using confirmatory composite analysis (2019)Methods for the detection of carelessly invalid responses in survey data (2015)The contact hypothesis re-evaluated (2018)Preferred reporting items for systematic reviews and meta‐analyses in ecology and evolutionary biology: a PRISMA extension (2021)
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References

  • 2015A primer on partial least squares structural equation modeling (PLS-SEM)18,923 cited
  • 2014A primer on partial least squares structural equation modeling (PLS-SEM)12,786 cited
  • 2012Measuring the Prevalence of Questionable Research Practices With Incentives for Truth Telling2,240 cited
  • 1998HARKing: Hypothesizing After the Results are Known1,988 cited
  • 2014Publication bias in the social sciences: Unlocking the file drawer1,539 cited
  • 2014Scientific method: Statistical errors1,536 cited
  • 2013P-curve: A key to the file-drawer.1,501 cited
  • 2015The Extent and Consequences of P-Hacking in Science1,389 cited
  • 2016Degrees of Freedom in Planning, Running, Analyzing, and Reporting Psychological Studies: A Checklist to Avoid p-Hacking754 cited
  • 2017Presidential Address: The Scientific Outlook in Financial Economics465 cited
  • 2017What You See Is What You Get? Enhancing Methodological Transparency in Management Research464 cited
  • 2011False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant462 cited
  • 2015False-positive psychology: Undisclosed flexibility in data collection and analysis allows presenting anything as significant.395 cited
  • 2015How scientists fool themselves – and how they can stop296 cited

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  • 2013Life after P-Hacking249 cited
  • 2016Harking, Sharking, and Tharking222 cited
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