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All published works (9)

Action Title Date Authors
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p-Values, statistical power and p-hacking 2025-02-19 Anna Dreber Magnus Johannesson
Can laypeople predict the replicability of social science studies without expert intervention: an exploratory study 2022-01-01 Juntao Wang Jonathan Lei Anna Dreber Michael S. Gordon Magnus Johannesson Thomas Pfeiffer Yiling Chen
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Journal-based replication of experiments: An application to “Being Chosen to Lead” 2021-09-09 Allan Drazen Anna Dreber Erkut Özbay Erik Snowberg
Predicting replicability—Analysis of survey and prediction market data from large-scale forecasting projects 2021-04-14 Michael Gordon Domenico Viganola Anna Dreber Magnus Johannesson Thomas Pfeiffer
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Many Labs 5: Testing Pre-Data-Collection Peer Review as an Intervention to Increase Replicability 2020-09-01 Charles R. Ebersole Maya B. Mathur Erica Baranski Diane-Jo Bart-Plange Nicholas R. Buttrick Christopher R. Chartier Katherine S. Corker Martin Corley Joshua K. Hartshorne Hans IJzerman
Predicting replication outcomes in the Many Labs 2 study 2018-11-19 Eskil Forsell Domenico Viganola Thomas Pfeiffer Johan Almenberg Bradley Wilson Yiling Chen Brian A. Nosek Magnus Johannesson Anna Dreber
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Predicting replication outcomes in the Many Labs 2 study 2018-10-25 Eskil Forsell Domenico Viganola Thomas Pfeiffer Johan Almenberg Brad Wilson Yiling Chen Brian A. Nosek Magnus Johannesson Anna Dreber
Redefine statistical significance 2017-08-31 Daniel J. Benjamin James O. Berger Magnus Johannesson Brian A. Nosek Eric‐Jan Wagenmakers Richard A. Berk Kenneth A. Bollen Björn Brembs Lawrence Brown Colin F. Camerer
Redefine statistical significance 2017-07-22 Daniel J. Benjamin James M. Berger Magnus Johannesson Brian A. Nosek Eric‐Jan Wagenmakers Richard A. Berk Kenneth A. Bollen Björn Brembs Lawrence Brown Colin F. Camerer

Commonly Cited References

Action Title Date Authors # of times referenced
Many Labs 3: Evaluating participant pool quality across the academic semester via replication 2016-09-18 Charles R. Ebersole Olivia E. Atherton Aimee L. Belanger Hayley M Skulborstad Jill Allen Jonathan Banks Erica Baranski Michael J. Bernstein Diane B. V. Bonfiglio Leanne Boucher 4
Redefine statistical significance 2017-08-31 Daniel J. Benjamin James O. Berger Magnus Johannesson Brian A. Nosek Eric‐Jan Wagenmakers Richard A. Berk Kenneth A. Bollen Björn Brembs Lawrence Brown Colin F. Camerer 4
Many Labs 2: Investigating Variation in Replicability Across Samples and Settings 2018-12-01 Richard Klein Michelangelo Vianello Fred Hasselman Byron G. Adams Reginald B. Adams Sinan Alper Mark Aveyard Jordan Axt Mayowa T. Babalola Štěpán Bahník 4
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Why Most Discovered True Associations Are Inflated 2008-08-11 John P. A. Ioannidis 3
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False-Positive Psychology 2011-10-17 Joseph P. Simmons Leif D. Nelson Uri Simonsohn 3
Systematic Review of the Empirical Evidence of Study Publication Bias and Outcome Reporting Bias 2008-08-27 Kerry Dwan Douglas G. Altman Juan A. Arnaiz Jill Bloom An‐Wen Chan Eugenia Cronin Évelyne Decullier Philippa Easterbrook Erik von Elm Carrol Gamble 2
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Revised standards for statistical evidence 2013-11-11 Valen E. Johnson 2
Fishing, Commitment, and Communication: A Proposal for Comprehensive Nonbinding Research Registration 2013-01-01 Macartan Humphreys Raul Sierra Peter Van Der Windt 2
Transparency, Reproducibility, and the Credibility of Economics Research 2018-09-01 Garret Christensen Edward Miguel 2
Assimilation and Contrast Effects in Part-Whole Question Sequences: A Conversational Logic Analysis 1991-01-01 Norbert Schwarz Fritz Strack Hans-Peter Mai 2
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Predicting replication outcomes in the Many Labs 2 study 2018-10-25 Eskil Forsell Domenico Viganola Thomas Pfeiffer Johan Almenberg Brad Wilson Yiling Chen Brian A. Nosek Magnus Johannesson Anna Dreber 2
Many Labs 3: Evaluating participant pool quality across the academic semester via replication 2016-08-17 Charles R. Ebersole Olivia E. Atherton Aimee Lynn Belanger Hayley M Skulborstad Jill N. Allen Jonathan Banks Erica Baranski Michael J. Bernstein Diane B. V. Bonfiglio Leanne Boucher 2
Decision Theoretic Approaches to Experiment Design and External Validity 2017-01-01 Abhijit Banerjee Sylvain Chassang Erik Snowberg 1
Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead 2016-01-01 Maximilian Kasy 1
Identification of and Correction for Publication Bias 2019-07-31 Isaiah Andrews Maximilian Kasy 1
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Constraints on Generality (COG): A Proposed Addition to All Empirical Papers 2017-08-30 Daniel J. Simons Yuichi Shoda D. Stephen Lindsay 1
When Should You Adjust Standard Errors for Clustering? 2017-11-01 Alberto Abadie Susan Athey Guido W. Imbens Jeffrey M. Wooldridge 1
Large-Scale Replication Projects in Contemporary Psychological Research 2019-03-20 Blakeley B. McShane Jennifer L. Tackett Ulf Böckenholt Andrew Gelman 1
Making replication mainstream 2017-10-25 Rolf A. Zwaan Alexander Etz Richard E. Lucas M. Brent Donnellan 1
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The wild bootstrap for few (treated) clusters 2017-11-16 James G. MacKinnon Matthew D. Webb 1
New Statistical Metrics for Multisite Replication Projects 2020-05-21 Maya B. Mathur Tyler J. VanderWeele 1
Conceptualizing and Evaluating Replication Across Domains of Behavioral Research 2018-01-15 Jennifer L. Tackett Blakeley B. McShane 1
Cigarette tax rates, behavioral disengagement, and quit ratios among daily smokers 2018-04-03 Rebecca A. Ferrer Edward Orehek Michael F. Scheier Mary Ellen O’Connell 1
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Statistical Methods for Research Workers. 1956-03-01 G. H. Jowett Ronald Aylmer Fisher 1
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Channeling Fisher: Randomization Tests and the Statistical Insignificance of Seemingly Significant Experimental Results* 2018-11-19 Alwyn Young 1
A Theory of Experimenters: Robustness, Randomization, and Balance 2020-03-31 Abhijit Banerjee Sylvain Chassang Sergio Montero Erik Snowberg 1
Probabilistic forecasting of replication studies 2020-04-22 Samuel Pawel Leonhard Held 1
The Role of <i>p</i>-Values in Judging the Strength of Evidence and Realistic Replication Expectations 2020-06-23 Eric W. Gibson 1
Many Labs 5: Registered Replication of Albarracín et al. (2008), Experiment 5 2020-09-01 Christopher R. Chartier Jack Arnal Holly Arrow Nicholas Bloxsom Diane B. V. Bonfiglio Claudia Chloe Brumbaugh Katherine S. Corker Charles R. Ebersole Alexander Garinther Steffen R. Giessner 1
Many Labs 5: Registered Replication of Albarracín et al. (2008), Experiment 7 2020-09-01 Katherine S. Corker Jack Arnal Diane B. V. Bonfiglio Paul Curran Christopher R. Chartier William J. Chopik Rosanna E. Guadagno Amanda M. Kimbrough Kathleen Schmidt Bradford J. Wiggins 1
Bootstrap-Based Improvements for Inference with Clustered Errors 2008-07-22 A. Colin Cameron Jonah B. Gelbach Douglas L. Miller 1
Redefine statistical significance 2017-07-22 Daniel J. Benjamin James M. Berger Magnus Johannesson Brian A. Nosek Eric‐Jan Wagenmakers Richard A. Berk Kenneth A. Bollen Björn Brembs Lawrence Brown Colin F. Camerer 1
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Bayes Factors 1995-06-01 Robert E. Kass Adrian E. Raftery 1
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Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting 1988-09-01 William S. Cleveland Susan J. Devlin 1
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Journal of The American Statistical Association 2004-10-15 Stephen E. Fienberg 1
Predicting replication outcomes in the Many Labs 2 study 2018-11-19 Eskil Forsell Domenico Viganola Thomas Pfeiffer Johan Almenberg Bradley Wilson Yiling Chen Brian A. Nosek Magnus Johannesson Anna Dreber 1
The Generalizability Crisis 2019-11-22 Tal Yarkoni 1
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Statistical Methods for Research Workers. 1926-01-01 L. I. R. A. Fisher 1
Pre-Analysis Plans Have Limited Upside, Especially Where Replications Are Feasible 2015-07-30 Lucas C. Coffman Muriel Niederle 1
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Statistical Methods for Research Workers. 1930-09-01 Harold Hotelling R. A. Fisher 1
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Elicitation of Personal Probabilities and Expectations 1971-12-01 Leonard J. Savage 1
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Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting 1988-09-01 William S. Cleveland Susan J. Devlin 1
Scientific method: Statistical errors 2014-02-11 Regina Nuzzo 1
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Publication Bias in Empirical Sociological Research 2008-06-11 Alan S. Gerber Neil Malhotra 1
The Hartung-Knapp-Sidik-Jonkman method for random effects meta-analysis is straightforward and considerably outperforms the standard DerSimonian-Laird method 2014-02-18 Joanna IntHout John P. A. Ioannidis George F. Borm 1
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A Simple Approximation for Calculating Sample Sizes for Comparing Independent Proportions 1980-06-01 Joseph L. Fleiss Alex Tytun Hans Ury 1
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Replication and <i>p</i> Intervals: <i>p</i> Values Predict the Future Only Vaguely, but Confidence Intervals Do Much Better 2008-07-01 Geoff Cumming 1
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Introduction to Bayesian methods I: measuring the strength of evidence 2005-08-01 Steven N. Goodman 1
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A peculiar prevalence of <i>p</i> values just below .05 2012-08-02 E. J. Masicampo Daniel Lalande 1
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Calibration of<i>ρ</i>Values for Testing Precise Null Hypotheses 2001-02-01 Thomas Sellke M. J. Bayarri James O. Berger 1