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Content
2025
2024
- 8z45v_v1 Use and Misuse of a Fast Approximation: Not a Criticism, but a Caution
by Rainey, Carlisle
- d5y26_v1 On the Coherence of Composite Indexes: Multiversal Model and Specification Analysis for an Index of Well-Being
by Cantone, Giulio Giacomo & Tomaselli, Venera
- pa98g_v1 Characterisation and Calibration of Multiversal Models
by Cantone, Giulio Giacomo & Tomaselli, Venera
- e9nw2_v1 Meta-regression to explain shrinkage and heterogeneity in large-scale replication projects
by Heyard, Rachel & Held, Leonhard
- 8z45v Use and Misuse of a Fast Approximation: Not a Criticism, but a Caution
by Rainey, Carlisle
- d6a8s_v1 Inconsistent multiple testing corrections: The fallacy of using family-based error rates to make inferences about individual hypotheses
by Rubin, Mark
- njd64_v1 Conventional Wisdom, Meta-Analysis, and Research Revision in Economics
by Gechert, Sebastian & Mey, Bianka & Opatrny, Matej & Havranek, Tomas & Stanley, T D & Bom, Pedro R. D. & Doucouliagos, Chris & Heimberger, Philipp & Irsova, Zuzana & Rachinger, Heiko
- d5y26 On the Coherence of Composite Indexes: Multiversal Model and Specification Analysis for an Index of Well-Being
by Cantone, Giulio Giacomo & Tomaselli, Venera
- 3kv2b_v1 Type I Error Rates are Not Usually Inflated
by Rubin, Mark
- 3x2en_v1 Conducting Power Analysis for Meta-Analysis of Dependent Effect Sizes: Common Guidelines and an Introduction to the POMADE R package
by Vembye, Mikkel Helding & Pustejovsky, James E & Pigott, Terri
- pa98g Characterisation and Calibration of Multiversal Models
by Cantone, Giulio Giacomo & Tomaselli, Venera
- e9nw2 Meta-regression to explain shrinkage and heterogeneity in large-scale replication projects
by Heyard, Rachel & Held, Leonhard
- cnuh7_v1 Data analysis planning and reporting for confirmatory multi-lab preclinical trials
by Arroyo-Araujo, María & Carneiro, Clarissa França Dias & Piper, Sophie K. & Wilcke, Juliane C. & Ellenbach, Nicole & Boulesteix, Anne-Laure & Emprechtinger, Robbert & Haller, Bernhard & Ineichen, Benjamin V. & Riecken, Lars Björn
- tm7dv_v1 A meta-analyst should make informed decisions: Issues with Bayesian model-averaging meta-analyses
by Román-Caballero, Rafael & Vadillo, Miguel A.
- c7qvn_v1 Beauty and Professional Success: A Meta-Analysis
by Bortnikova, Kseniya & Havranek, Tomas & Irsova, Zuzana
- d6a8s Redundant multiple testing corrections: The fallacy of using family-based error rates to make inferences about individual hypotheses
by Rubin, Mark
- rv6xd_v1 Unintended Code Errors and Computational Reproducibility
by Ottone, Nicholas & Peer, Limor
- jt5zf_v1 Likelihood Ratio Test for Publication Bias – a Proof of Concept
by Lenartowicz, Paweł
- 5rdvf_v1 Navigating Post-Schooling Realities: Challenges and Opportunities for Progressed Learners in South Africa – A multi-method Research Protocol
by Costa, King & Mfolo, Letlhogonolo Nolo & Thusi, Nisi
- c4ujg_v1 Assessing the potential of a Bayesian ranking as an alternative to consensus meetings for decision making in research funding: A Case Study of Marie Skłodowska-Curie Actions
by Heyard, Rachel & Pina, David & Buljan, Ivan & Marusic, Ana
- hva4p_v1 How to measure Interdisciplinary Research? A `systemic' design for the model of measurement
by Cantone, Giulio Giacomo
- 3x2en Conducting Power Analysis for Meta-Analysis of Dependent Effect Sizes: Common Guidelines and an Introduction to the POMADE R package
by Vembye, Mikkel Helding & Pustejovsky, James E & Pigott, Terri
- me2ub_v1 The Replication Database: Documenting the Replicability of Psychological Science
by Röseler, Lukas & Kaiser, Leonard & Doetsch, Christopher Albert & Klett, Noah & Seida, Christian & Schütz, Astrid & Aczel, Balazs & Adelina, Nadia & Agostini, Valeria & Alarie, Samuel
- ps2yn_v1 Where Have All the Alphas Gone? A Meta-Analysis of Hedge Fund Performance
by Yang, Fan & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri
- c7qvn Beauty and Professional Success: A Meta-Analysis
by Bortnikova, Kseniya & Havranek, Tomas & Irsova, Zuzana
- cnuh7 Data analysis planning and reporting for confirmatory multi-lab preclinical trials
by Arroyo-Araujo, María & Carneiro, Clarissa França Dias & Piper, Sophie K. & Wilcke, Juliane C. & Ellenbach, Nicole & Boulesteix, Anne-Laure & Emprechtinger, Robbert & Haller, Bernhard & Ineichen, Benjamin V. & Riecken, Lars Björn
- rv6xd Unintended Code Errors and Computational Reproducibility
by Ottone, Nicholas & Peer, Limor
- jt5zf Likelihood Ratio Test for Publication Bias – a Proof of Concept
by Lenartowicz, Paweł
- 5rdvf Navigating Post-Schooling Realities: Challenges and Opportunities for Progressed Learners in South Africa – A multi-method Research Protocol
by Costa, King & Mfolo, Letlhogonolo Nolo & Thusi, Nisi
- hva4p How to measure interdisciplinary research? A systematic, yet critical, review
by Cantone, Giulio Giacomo
- ps2yn Where Have All the Alphas Gone? A Meta-Analysis of Hedge Fund Performance
by Yang, Fan & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri
- me2ub The Replication Database: Documenting the Replicability of Psychological Science
by Röseler, Lukas & Kaiser, Leonard & Doetsch, Christopher Albert & Klett, Noah & Seida, Christian & Schütz, Astrid & Aczel, Balazs & Adelina, Nadia & Agostini, Valeria & Alarie, Samuel
- apdxk_v1 A scoping review on metrics to quantify reproducibility: a multitude of questions leads to a multitude of metrics
by Heyard, Rachel & Pawel, Samuel & Frese, Joris & Voelkl, Bernhard & Würbel, Hanno & McCann, Sarah & Held, Leonhard & Wever, Kimberley E. PhD & Hartmann, Helena & Townsin, Louise
- npvwr_v1 GPT's Performance in Identifying Outcome Changes on ClinicalTrials.gov
by Ying, Xiangji & Vorland, Colby J. & Qureshi, Riaz & Brown, Andrew William & Kilicoglu, Halil & Saldanha, Ian & DeVito, Nicholas J & Mayo-Wilson, Evan
- npvwr GPT's Performance in Identifying Outcome Changes on ClinicalTrials.gov
by Ying, Xiangji & Vorland, Colby J. & Qureshi, Riaz & Brown, Andrew William & Kilicoglu, Halil & Saldanha, Ian & DeVito, Nicholas J & Mayo-Wilson, Evan
- apdxk A scoping review on metrics to quantify reproducibility: a multitude of questions leads to a multitude of metrics
by Heyard, Rachel & Pawel, Samuel & Frese, Joris & Voelkl, Bernhard & Würbel, Hanno & McCann, Sarah & Held, Leonhard & Wever, Kimberley E. PhD & Hartmann, Helena & Townsin, Louise
2023
- ax825_v1 Evaluating meta-analysis as a replication success measure
by Muradchanian, Jasmine & Hoekstra, Rink & Kiers, Henk & van Ravenzwaaij, Don
- 2bj85_v1 Meta-analyzing non-preregistered and preregistered studies
by van Aert, Robbie Cornelis Maria
- h9t5c_v1 Pre-Registered Analysis Plan: Is the Inter-Researcher Variability in Social Scientific Results Explicable? An Adversarial Collaboration and Joint Effort to Parse Model and Estimate Dispersion
by Breznau, Nate & Auspurg, Katrin & Brüderl, Josef & Holzmeister, Felix & Nilsonne, Gustav & Aczel, Balazs & Clark, Cory J & Nguyen, Hung Hoang Viet & Varga, Marton Aron & Uhlmann, Eric Luis
- g94sx_v1 Does Shareholder Activism Create Value? A Meta-Analysis
by Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri
- ax825 Evaluating meta-analysis as a replication success measure
by Muradchanian, Jasmine & Hoekstra, Rink & Kiers, Henk & van Ravenzwaaij, Don
- mbx62_v1 Statistical reporting errors in economics
by Bruns, Stephan & Herwartz, Helmut & Ioannidis, John P.A. & Islam, Chris-Gabriel & Raters, Fabian H. C.
- mq5v7_v1 The Effects of Co-Teaching and Related Collaborative Models of Instruction on Student Achievement: A Systematic Review and Meta-Analysis
by Vembye, Mikkel Helding & Weiss, Felix & Bhat, Bethany Hamilton
- pw54r_v1 Equivalences between ad hoc strategies and meta-analytic models for dependent effect sizes
by Pustejovsky, James E & Chen, Man
- 5kzt4_v1 I mildly disagree that our opinions should not be averaged. A commentary on Carpentras and Quayle (2023)
by Cantone, Giulio Giacomo
- 3ks6r_v1 Consensus meetings will outperform integrative experiments
by Primbs, Maximilian & Dudda, Leonie & Andresen, Pia K. & Buchanan, Erin Michelle & Peetz, Hannah Katharina & Silan, Miguel Alejandro A. & Lakens, Daniel
- 3qp2w_v1 Spurious Precision in Meta-Analysis of Observational Research
by Irsova, Zuzana & Bom, Pedro R. D. & Havranek, Tomas & Rachinger, Heiko
- 2bj85 Meta-analyzing non-preregistered and preregistered studies
by van Aert, Robbie Cornelis Maria
- g94sx Does Shareholder Activism Create Value? A Meta-Analysis
by Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri
- ukvw7_v1 Multiversal Methods and Applications
by Cantone, Giulio Giacomo & Tomaselli, Venera
- mbx62 Statistical reporting errors in economics
by Bruns, Stephan & Herwartz, Helmut & Ioannidis, John P.A. & Islam, Chris-Gabriel & Raters, Fabian H. C.
- 5kzt4 I mildly disagree that our opinions should not be averaged. A commentary on Carpentras and Quayle (2023)
by Cantone, Giulio Giacomo
- pw54r Equivalences between ad hoc strategies and meta-analytic models for dependent effect sizes
by Pustejovsky, James E & Chen, Man
- z5msx_v1 A Multiversal Model of Vibration of Effects of the Equitable and Sustainable Well-Being (BES) on Fertility
by Cantone, Giulio Giacomo & Tomaselli, Venera
- yaxd4_v1 Meta-análisis de correlaciones y meta-regresión en R: Guía práctica
by Leongómez, Juan David
- 3ks6r Consensus meetings will outperform integrative experiments
by Primbs, Maximilian & dudda, leonie & Andresen, Pia K. & Buchanan, Erin Michelle & Peetz, Hannah Katharina & Silan, Miguel Alejandro A. & Lakens, Daniel
- 3kv2b Type I error rates are not usually inflated
by Rubin, Mark
- 3qp2w Spurious Precision in Meta-Analysis
by Irsova, Zuzana & Bom, Pedro Ricardo Duarte & Havranek, Tomas & Rachinger, Heiko
- ceda3_v1 Learning from comics versus non-comics material in education: Systematic review and meta-analysis
by Pagkratidou, Marianna & Cohn, Neil & Phylactou, Phivos & Papadatou-Pastou, Marietta & Duffy, Gavin
- ewb2t_v1 Predicting Replication Rates with Z-Curve: A Brief Exploratory Validation Study Using the Replication Database
by Röseler, Lukas
- ukvw7 Multiversal Methods and Applications
by Cantone, Giulio Giacomo & Tomaselli, Venera
- z5msx A Multiversal Model of Vibration of Effects of the Equitable and Sustainable Well-Being (BES) on Fertility
by Cantone, Giulio Giacomo & Tomaselli, Venera
- yaxd4 Meta-análisis de correlaciones y meta-regresión en R: Guía práctica
by Leongómez, Juan David
- ceda3 Learning from comics versus non-comics material in education: Systematic review and meta-analysis
by Pagkratidou, Marianna & Cohn, Neil & Phylactou, Phivos & Papadatou-Pastou, Marietta & Duffy, Gavin
- ewb2t Predicting Replication Rates with Z-Curve: A Brief Exploratory Validation Study Using the Replication Database
by Röseler, Lukas
- dgshk_v1 The role of results in deciding to publish
by Muradchanian, Jasmine & Hoekstra, Rink & Kiers, Henk & van Ravenzwaaij, Don
- ekrqs_v1 Class Size and Student Achievement: A Modern Meta-Analysis
by Opatrny, Matej & Havranek, Tomas & Irsova, Zuzana & Ščasný, Milan
- kuhmz_v1 The multiversal methodology as a remedy of the replication crisis
by Cantone, Giulio Giacomo
- kuhmz The multiversal methodology as a remedy of the replication crisis
by Cantone, Giulio Giacomo
- dgshk The role of results in deciding to publish
by Muradchanian, Jasmine & Hoekstra, Rink & Kiers, Henk & van Ravenzwaaij, Don
2022
- j986q_v1 To adjust or not to adjust: It is not the tests you perform that count, but how you report them
by Boulesteix, Anne-Laure & Hoffmann, Sabine
- 5r36g_v1 A metric of knowledge as information compression reflects reproducibility predictions in biomedical experiments
by Fanelli, Daniele & Tan, Pedro Batista & Amaral, Olavo Bohrer & Neves, Kleber
- s4b65_v1 Replication success under questionable research practices – a simulation study
by Freuli, Francesca & Held, Leonhard & Heyard, Rachel
- j986q To adjust or not to adjust: It is not the tests you perform that count, but how you report them
by Boulesteix, Anne-Laure & Hoffmann, Sabine
- 8psw2_v1 Successes and Failures of Replications: A Meta-Analysis of Independent Replication Studies Based on the OSF Registries
by Röseler, Lukas & Gendlina, Taisia & Krapp, Josefine & Labusch, Noemi & Schütz, Astrid
- 6tp9y_v1 Power Approximations for Overall Average Effects in Meta-Analysis with Dependent Effect Sizes
by Vembye, Mikkel Helding & Pustejovsky, James E & Pigott, Terri
- 67sak_v1 The "Tau" of Science - How to Measure, Study, and Integrate Quantitative and Qualitative Knowledge
by Fanelli, Daniele
- w48yh_v1 Development of the Brief Open Research Survey (BORS) to measure awareness and uptake of Open Research practices
by Norris, Emma & Clark, Kait & Munafo, Marcus Robert & Jay, Caroline & Baldwin, Jessie & Lautarescu, Alexandra & Pedder, Hugo & Page, Mike & Rinke, Eike Mark & Burn, Charlotte
- s4b65 Replication success under questionable research practices – a simulation study
by Freuli, Francesca & Held, Leonhard & Heyard, Rachel
- uxf39_v1 Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?
by Brodeur, Abel & Cook, Nikolai & Hartley, Jonathan & Heyes, Anthony
- h29xn_v1 Estimating the extent of inflated significance in economics
by Bruns, Stephan & Deressa, Teshome Kebede & Stanley, T D & Doucouliagos, Chris & Ioannidis, John P.A.
- a9vhr_v1 We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell Us about Publication Bias and p-Hacking in Online Experiments
by Brodeur, Abel & Cook, Nikolai & Heyes, Anthony
- wbe9k_v1 Financial Incentives and Performance: A Meta-Analysis of Economics Evidence
by Cala, Petr & Havranek, Tomas & Irsova, Zuzana & Matousek, Jindrich & Irsova, Zuzana & Novak, Jiri
- 8psw2 Successes and Failures of Replications: A Meta-Analysis of Independent Replication Studies Based on the OSF Registries
by Röseler, Lukas & Gendlina, Taisia & Krapp, Josefine & Labusch, Noemi & Schütz, Astrid
- vq8cp_v1 Hedge Fund Performance: A Quantitative Survey
by Yang, Fan & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri
- b8uhe_v1 Relative Risk Aversion: A Meta-Analysis
by Elminejad, Ali & Havranek, Tomas & Irsova, Zuzana
- 6tp9y Power Approximations for Meta-Analysis of Dependent Effect Sizes
by Vembye, Mikkel Helding & Pustejovsky, James E & Pigott, Terri
- 67sak The "Tau" of Science - How to Measure, Study, and Integrate Quantitative and Qualitative Knowledge
by Fanelli, Daniele
- qesx6_v1 statacons: An SCons-Based Build Tool for Stata
by Guiteras, Raymond & Kim, Ahnjeong & Quistorff, Brian & Shumway, Clayson
- yxba5_v1 Machine Learning Can Solve the Reproducibility Crisis by Supplanting Reductionist Statistics
by Sadri, Arash
- ph4cu_v1 Wine Quality and Type Prediction from Physicochemical Properties Using Neural Networks for Machine Learning: A Free Software for Winemakers and Customers
by Mor, Nuriel Shalom & Asras, Tigabo & Gal, Eli & Demasia, Tesfahon & Tarab, Ezra & Ezekiel, Nathaniel & Nikapros, Osher & Semimufar, Oshri & Gladky, Eva & Karpenko, Maria
- uxf39 Do Pre-Registration and Pre-analysis Plans Reduce p-Hacking and Publication Bias?
by Brodeur, Abel & Cook, Nikolai & Hartley, Jonathan & Heyes, Anthony
- a9vhr We Need to Talk about Mechanical Turk: What 22,989 Hypothesis Tests Tell Us about Publication Bias and p-Hacking in Online Experiments
by Brodeur, Abel & Cook, Nikolai & Heyes, Anthony
- b8uhe Relative Risk Aversion: A Meta-Analysis
by Elminejad, Ali & Havranek, Tomas & Irsova, Zuzana
- qesx6 statacons: An SCons-Based Build Tool for Stata
by Guiteras, Raymond & Kim, Ahnjeong & Quistorff, Brian & Shumway, Clayson
- yxba5 The Ultimate Cause of the “Reproducibility Crisis”: Reductionist Statistics
by Sadri, Arash
- hcjqm_v1 Role of ILSAs for Meta-Analyses in Education
by Scherer, Ronny & Siddiq, Fazilat & Nilsen, Trude
2021
- 7b43s_v1 Student Employment and Education: A Meta-Analysis
by Kroupova, Katerina & Havranek, Tomas & Irsova, Zuzana
- t93cg_v1 Seven Steps Toward More Transparency in Statistical Practice
by Wagenmakers, Eric-Jan & Sarafoglou, Alexandra & Aarts, Sil Dr. & Albers, Casper J & Algermissen, Johannes & Bahník, Štěpán & van Dongen, Noah N'Djaye Nikolai & Hoekstra, Rink & Moreau, David & van Ravenzwaaij, Don
- 8t4pf_v1 Simulation results on the performance of statistical methods in cumulative meta analysis
by Kulinskaya, Elena & Mah, Eung Yaw
- 7b43s Student Employment and Education: A Meta-Analysis
by Kroupova, Katerina & Havranek, Tomas & Irsova, Zuzana
- cd5j9_v1 Observing Many Researchers Using the Same Data and Hypothesis Reveals a Hidden Universe of Uncertainty
by Breznau, Nate & Rinke, Eike Mark & Wuttke, Alexander & Adem, Muna & Adriaans, Jule & Alvarez-Benjumea, Amalia & Andersen, Henrik Kenneth & Auer, Daniel & Azevedo, Flavio & Bahnsen, Oke
- tp45u_v1 Using Selection Models to Assess Sensitivity to Publication Bias: A Tutorial and Call for More Routine Use
by Maier, Maximilian & VanderWeele, Tyler J. & Mathur, Maya B
- t93cg Toward More Transparency in Statistical Practice
by Wagenmakers, Eric-Jan & Sarafoglou, Alexandra & Aarts, Sil Dr. & Albers, Casper J & Algermissen, Johannes & Bahník, Štěpán & van Dongen, Noah N'Djaye Nikolai & Hoekstra, Rink & Moreau, David & van Ravenzwaaij, Don
- as9zd_v1 Cherry Picking
by Lang, Megan & Qiu, Wenfeng
- 8t4pf Simulation results on the performance of statistical methods in cumulative meta analysis
by Kulinskaya, Elena & Mah, Eung Yaw
- rxmh7_v1 Mathematically aggregating experts' predictions of possible futures
by Hanea, Anca & Wilkinson, David Peter & McBride, Marissa & Lyon, Aidan & van Ravenzwaaij, Don & Singleton Thorn, Felix & Gray, Charles T. & Mandel, David R. & Willcox, Aaron & Gould, Elliot
- jk7sa_v1 Are Most Published Research Findings False In A Continuous Universe?
by Neves, Kleber & Tan, Pedro Batista & Amaral, Olavo Bohrer
- cp65t Measurement And Social Desirability Response Bias In Experimental Vignette Resarch: A Test Of Fazio’S Mode Theory
by Stolte, John Dr.
- x6uhk_v1 Cluster Wild Bootstrapping to Handle Dependent Effect Sizes in Meta-Analysis with a Small Number of Studies
by Joshi, Megha & Pustejovsky, James E & Beretvas, S. Natasha
- tj6pm_v1 When to adjust alpha during multiple testing: A consideration of disjunction, conjunction, and individual testing
by Rubin, Mark
- cd5j9 Observing Many Researchers using the Same Data and Hypothesis Reveals a Hidden Universe of Data Analysis
by Breznau, Nate & Rinke, Eike Mark & Wuttke, Alexander & Adem, Muna & Adriaans, Jule & Alvarez-Benjumea, Amalia & Andersen, Henrik Kenneth & Auer, Daniel & Azevedo, Flavio & Bahnsen, Oke
- qs5gm_v1 A Reply to Breznau, Rinke, and Wuttke on the Discordant Outcomes of Hypothesis Testing
by Goldman, Daniel S
- tp45u Using Selection Models to Assess Sensitivity to Publication Bias: A Tutorial and Call for More Routine Use
by Maier, Maximilian & VanderWeele, Tyler & Mathur, Maya B
- 4kw2n Analysis of feature influence on Covid-19 Death Rate Per Country Using a Novel Orthogonalization Technique
by Gonnet, Gaston H. & Stewart, John & Lafleur, Joseph & Keith, Stephen & McLellan, Mark & Jiang-Gorsline, David & Snider, Tim
- as9zd Cherry Picking
by Lang, Megan & Qiu, Wenfeng
- jk7sa Are Most Published Research Findings False In A Continuous Universe?
by Neves, Kleber & Tan, Pedro Batista & Amaral, Olavo Bohrer
- rxmh7 Mathematically aggregating experts' predictions of possible futures
by Hanea, Anca & Wilkinson, David Peter & McBride, Marissa & Lyon, Aidan & van Ravenzwaaij, Don & Singleton Thorn, Felix & Gray, Charles T. & Mandel, David R. & Willcox, Aaron & Gould, Elliot
- tj6pm When to adjust alpha during multiple testing: A consideration of disjunction, conjunction, and individual testing
by Rubin, Mark
- x6uhk Cluster Wild Bootstrapping to Handle Dependent Effect Sizes in Meta-Analysis with a Small Number of Studies
by Joshi, Megha & Pustejovsky, James E & Beretvas, S. Natasha
- qs5gm A Reply to Breznau, Rinke, and Wuttke on the Discordant Outcomes of Hypothesis Testing
by Goldman, Daniel S
- aqyhg_v1 Meta-Research: How problematic citing practices distort science
by Horbach, Serge P. J. M. & Aagaard, Kaare & Schneider, Jesper W.
- nshqx_v1 Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply
by Havranek, Tomas & Horvath, Roman & Elminejad, Ali
- npeqs_v1 When Does Monetary Policy Sway House Prices? A Meta-Analysis
by Ehrenbergerova, Dominika & Bajzik, Josef & Havranek, Tomas
- knjea_v1 Replication value as a function of citation impact and sample size
by Isager, Peder Mortvedt & van 't Veer, Anna Elisabeth & Lakens, Daniel
- pkqdx_v1 On the optimistic performance evaluation of newly introduced bioinformatic methods
by Buchka, Stefan & Alexander, Hapfelmeier & Gardner, Paul P & Wilson, Rory & Boulesteix, Anne-Laure
- aqyhg Meta-Research: How problematic citing practices distort science
by Horbach, Serge & Aagaard, Kaare & Schneider, Jesper W.
- pkqdx On the optimistic performance evaluation of newly introduced bioinformatic methods
by Buchka, Stefan & Hapfelmeier, Alexander & Gardner, Paul P & Wilson, Rory & Boulesteix, Anne-Laure
- knjea Replication value as a function of citation impact and sample size
by Isager, Peder Mortvedt & van 't Veer, Anna Elisabeth & Lakens, Daniel
- nshqx Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply
by Havranek, Tomas & Horvath, Roman & Elminejad, Ali
2020
- py654_v1 What do you mean by ‘informed consent’? Ethics in economic development research
by Josephson, Anna & Smale, Melinda
- 348kc_v1 How puzzling is the forward premium puzzle? A meta-analysis
by Havranek, Tomas & Novak, Jiri & Zigraiova, Diana
- vgr89_v1 Does preregistration improve the credibility of research findings?
by Rubin, Mark
- 8y6jn_v1 RFI Response: JCORE; Request for Information on the American Research Environment
by Mellor, David Thomas & Buck, Stuart & Hoeberling, Katie & Miguel, Edward
- 7z2uh_v1 The Elasticity of Substitution between Skilled and Unskilled Labor: A Meta-Analysis
by Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia
- py654 What do you mean by ‘informed consent’? Ethics in economic development research
by Josephson, Anna & Smale, Melinda
- 52ezd_v1 Researchers working from home: Benefits and challenges
by Aczel, Balazs & Kovacs, Marton & van der Lippe, Tanja & Szaszi, Barnabas
- 348kc How puzzling is the forward premium puzzle? A meta-analysis
by Havranek, Tomas & Novak, Jiri & Zigraiova, Diana
- zhn9b_v1 Effects of Rural Electrification on Employment: A Comment on Dinkelman (2011)
by Bensch, Gunther & Gotz, Gunnar & Ankel-Peters, Jörg
- uzxf9_v1 Research Ethics Beyond the IRB: Selection Bias and the Direction of Innovation in Applied Economics
by Michler, Jeffrey D & Masters, William A. & Josephson, Anna
- vgr89 Does preregistration improve the credibility of research findings?
by Rubin, Mark
- 8y6jn RFI Response: JCORE; Request for Information on the American Research Environment
by Mellor, David Thomas & Buck, Stuart & Hoeberling, Katie & Miguel, Edward
- 7z2uh The Elasticity of Substitution between Skilled and Unskilled Labor: A Meta-Analysis
by Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia
- frta7_v1 Statisticians roll up your sleeves! There’s a crisis to be solved
by Seibold, Heidi & Charlton, Alethea & Boulesteix, Anne-Laure & Hoffmann, Sabine
- zgha6_v1 Statistical Significance Filtering Overestimates Effects and Impedes Falsification: A Critique of Endsley (2019)
by Bakdash, Jonathan Z & Marusich, Laura Ranee & Kenworthy, Jared & Twedt, Elyssa & Zaroukian, Erin
- 52ezd Researchers working from home: Benefits and challenges
by Aczel, Balazs & Kovacs, Marton & van der Lippe, Tanja & Szaszi, Barnabas
- 5yacr_v1 Pre-results Review at the Journal of Development Economics: Lessons learned
by Bogdanoski, Aleksandar & Foster, Andrew & Karlan, Dean & Miguel, Edward
- 5dnjc_v1 Reducing barriers and inequality by hosting conferences in developing countries
by Buttliere, Brett
- qkjy4_v1 Journal policies and editors’ opinions on peer review
by Hamilton, Daniel George & Fraser, Hannah & Hoekstra, Rink & Fidler, Fiona
- 3bnxs_v1 Simulation study of estimating between-study variance and overall effect in meta-analyses of log-response-ratio for normal data
by Bakbergenuly, Ilyas & Hoaglin, David C. & Kulinskaya, Elena
- 2gurz_v1 Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints
by Isager, Peder Mortvedt & van Aert, Robbie Cornelis Maria & Bahník, Štěpán & Brandt, Mark John & DeSoto, Kurt Andrew & Giner-Sorolla, Roger & Krueger, Joachim & Perugini, Marco & Ropovik, Ivan & van 't Veer, Anna Elisabeth
- pn2ux_v1 Clearinghouse Standards of Evidence on the Transparency, Openness, and Reproducibility of Intervention Evaluations
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2019
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