Contact information of Center for Open Science
Corrections
All material on this site has been provided by the respective publishers and authors. You can help
correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osf:metaar. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: OSF (email available below). General contact details of provider: https://osf.io/preprints/metaarxiv .
Content
2024
- 8z45v Use and Misuse of a Fast Approximation: Not a Criticism, but a Caution
by Rainey, Carlisle
- d5y26 On the Coherence of Composite Indexes: Multiversal Model and Specification Analysis for an Index of Well-Being
by Cantone, Giulio Giacomo & Tomaselli, Venera
- 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
- d6a8s Redundant multiple testing corrections: The fallacy of using family-based error rates to make inferences about individual hypotheses
by Rubin, Mark
- 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
- 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
- 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
2023
- ax825 Evaluating meta-analysis as a replication success measure
by Muradchanian, Jasmine & Hoekstra, Rink & Kiers, Henk & van Ravenzwaaij, Don
- 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
- 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
- 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
- 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
- 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 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
- s4b65 Replication success under questionable research practices – a simulation study
by Freuli, Francesca & Held, Leonhard & Heyard, Rachel
- 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
- 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
- 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
2021
- 7b43s Student Employment and Education: A Meta-Analysis
by Kroupova, Katerina & Havranek, Tomas & Irsova, Zuzana
- 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
- 8t4pf Simulation results on the performance of statistical methods in cumulative meta analysis
by Kulinskaya, Elena & Mah, Eung Yaw
- cp65t Measurement And Social Desirability Response Bias In Experimental Vignette Resarch: A Test Of Fazio’S Mode Theory
by Stolte, John Dr.
- 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
- 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 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 What do you mean by ‘informed consent’? Ethics in economic development research
by Josephson, Anna & Smale, Melinda
- 348kc How puzzling is the forward premium puzzle? A meta-analysis
by Havranek, Tomas & Novak, Jiri & Zigraiova, Diana
- 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
- 52ezd Researchers working from home: Benefits and challenges
by Aczel, Balazs & Kovacs, Marton & van der Lippe, Tanja & Szaszi, Barnabas
- uzxf9 Research Ethics Beyond the IRB: Selection Bias and the Direction of Innovation in Applied Economics
by Michler, Jeffrey D & Masters, William A. & Josephson, Anna
- zhn9b Effects of Rural Electrification on Employment: A Comment on Dinkelman (2011)
by Bensch, Gunther & Gotz, Gunnar & Peters, Jörg
- frta7 Statisticians roll up your sleeves! There’s a crisis to be solved
by Seibold, Heidi & Charlton, Alethea & Boulesteix, Anne-Laure & Hoffmann, Sabine
- zgha6 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
- 5dnjc Reducing barriers and inequality by hosting conferences in developing countries
by Buttliere, Brett
- 5yacr Pre-results Review at the Journal of Development Economics: Lessons learned
by Bogdanoski, Aleksandar & Foster, Andrew & Karlan, Dean & Miguel, Edward
- 5vnhj Metascientific reproducibility patterns revealed by informatic measure of knowledge
by Fanelli, Daniele
- qkjy4 Journal policies and editors’ opinions on peer review
by Hamilton, Daniel George & Fraser, Hannah & Hoekstra, Rink & Fidler, Fiona
- 3bnxs 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
- haf2v Data science in economics: comprehensive review of advanced machine learning and deep learning methods
by Nosratabadi, Saeed & Mosavi, Amir & Duan, Puhong & Ghamisi, Pedram & Filip, Ferdinand & Band, Shahab S. & Reuter, Uwe & Gama, Joao & Gandomi, Amir H.
- 2gurz Deciding what to replicate: A formal definition of “replication value” and a decision model for replication study selection
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
- wkmht Ulysses' Pact or Ulysses' Raft: Using Pre-Analysis Plans in Experimental and Non-Experimental Research
by Janzen, Sarah & Michler, Jeffrey D
- vyfcj Meta-Analysis with Robust Variance Estimation: Expanding the Range of Working Models
by Pustejovsky, James E & Tipton, Elizabeth
- hnefr Meta-Analysis of Empirical Estimates of Loss-Aversion
by Brown, Alexander L. & Imai, Taisuke & Vieider, Ferdinand & Camerer, Colin
- sxajv The COVID-19 Pandemic and US Presidential Elections
by Brodeur, Abel & Baccini, Leonardo & Weymouth, Stephen
- wvdjf How Best to Quantify Replication Success? A Simulation Study on the Comparison of Replication Success Metrics
by Muradchanian, Jasmine & Hoekstra, Rink & Kiers, Henk & van Ravenzwaaij, Don
2019
- a9347 Open Science Practices To Support Addiction Research
by Mellor, David Thomas
- 9g6ac The Awkarin Index: a Measure of Asymmetry Between a Scholar’s Social Media Profile and Publication
by Azalea, Fariha & Setiawan, Adib Rifqi
- dh87m Identification of and Correction for Publication Bias: Comment
by Kvarven, Amanda & Strømland, Eirik & Johannesson, Magnus
- a8gu5 Addressing selective reporting of experiments – the case for predefined exclusion criteria
by Neves, Kleber & Amaral, Olavo Bohrer
- 6um5g Death to the Cobb-Douglas Production Function? A Meta-Analysis of the Capital-Labor Substitution Elasticity
by Havranek, Tomas & Irsova, Zuzana & Gechert, Sebastian & Kolcunova, Dominika
- f6y3x The Dogmatic Mixture Model Overestimates False Positives
by Schimmack, Ulrich & Brunner, Jerry
- u4g6t What is replication?
by Nosek, Brian A. & Errington, Timothy M.
- cj7xf Examining Psychological Science through Systematic Meta-Method Analysis: A Call for Research
by Elson, Malte
- bthj7 Alternative personal data governance models
by Greshake Tzovaras, Bastian & Ball, Mad Price
- mjvt5 Meta-Analysis of Present-Bias Estimation Using Convex Time Budgets
by Imai, Taisuke & Rutter, Tom & Camerer, Colin
- e4pum Pre-analysis Plans: A Stocktaking
by Bogdanoski, Aleksandar & Ofosu, George & Posner, Daniel N
- kvzg3 The Intuitive Cooperation Hypothesis Revisited: A Meta-analytic Examination of Effect-size and Between-study Heterogeneity
by Kvarven, Amanda & Strømland, Eirik & Wollbrant, Conny Ernst-Peter & Andersson, David & Johannesson, Magnus & Tinghög, Gustav & Västfjäll, Daniel & Myrseth, Kristian Ove R.
- xwngs Selective publication of findings: Why does it matter, and what should we do about it?
by Kasy, Maximilian
2018
- 49yst Identification of and correction for publication bias
by Kasy, Maximilian & Andrews, Isaiah
- zqjr9 P-uniform
by van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M.
- 8vdrh Sniff Tests in Economics: Aggregate Distribution of Their Probability Values and Implications for Publication Bias
by Snyder, Christopher & Zhuo, Ran
- v7pxe Registered Reports: Piloting a Pre-Results Review Process at the Journal of Development Economics
by Bogdanoski, Aleksandar & Foster, Andrew & Karlan, Dean & Miguel, Edward
- mbvz3 Which findings should be published?
by Kasy, Maximilian & Frankel, Alexander
- dhc2e Easy preregistration will benefit any research
by Mellor, David Thomas & Nosek, Brian A.
- jnyqh A Framework for Open Policy Analysis
by Hoces de la Guardia, Fernando & Grant, Sean & Miguel, Edward
- eqhjd Dissertation R.C.M. van Aert
by van Aert, Robbie Cornelis Maria
2017
- 9a3rw Transparency, Reproducibility, and the Credibility of Economics Research
by Christensen, Garret & Miguel, Edward & Sturdy, Jennifer
- 5nsh3 How Often Should We Believe Positive Results? Assessing the Credibility of Research Findings in Development Economics
by Coville, Aidan & Vivalt, Eva
- s42ba Achieving Statistical Significance with Covariates and without Transparency
by Lenz, Gabriel & Sahn, Alexander
- xq9nt Publication Bias and Editorial Statement on Negative Findings
by Brodeur, Abel & Blanco-Perez, Cristina
- ba7tr How Transparency and Reproducibility Can Increase Credibility in Policy Analysis: A Case Study of the Minimum Wage Policy Estimate
by Hoces de la Guardia, Fernando
- 7tkvm Aggregating Distributional Treatment Effects: A Bayesian Hierarchical Analysis of the Microcredit Literature
by Meager, Rachael & Sturdy, Jennifer
- d5eud Panel Data and Experimental Design
by Burlig, Fiona & Preonas, Louis & Woerman, Matt
- qemkz Improving transparency in observational social science research: A pre-analysis plan approach
by Burlig, Fiona
- ryvud Open Science & Development Engineering: Evidence to Inform Improved Replication Models
by Galiani, Sebastian & Gertler, Paul & Romero, Mauricio
- svzyc Will knowledge about more efficient study designs increase the willingness to pre-register?
by Lakens, Daniel
2016
- epgjd OSF Prereg Template
by Bowman, Sara D. & DeHaven, Alexander Carl & Errington, Timothy M. & Hardwicke, Tom Elis & Mellor, David Thomas & Nosek, Brian A. & Soderberg, Courtney K.
2002
Printed from https://ideas.repec.org/s/osf/metaar.html
