Welcome to the Replication Network Blog, a collection of guest posts, perspectives, and discussions on replication research, reproducibility, and open science practices.
Browse through our archive of articles covering topics including:
- Replication studies and methodologies
- Statistical considerations in replication research
- Peer review and publishing practices
- Meta-science and research quality
- Teaching and learning about replications
The blog features contributions from researchers, statisticians, and practitioners who share their insights and experiences with replication research across various disciplines.
Recent Blog Posts
April 10, 2024
| By The Replication Network
Tags:
GUEST BLOGS
110 reproductions/replications
economics
Journals
Many analysts
Open Science
political science
Re-analysis
replication
Reproduction
[*AoI = âArticles of Interestâ is a feature of TRN where we report abstracts of recent research related to replication and research integrity.]
ABSTRACT (taken from the article)
âThis study pushes our understanding of research reliability by producing and replicating claims from 110 papers in leading economic and political science journals.
April 8, 2024
| By The Replication Network
Tags:
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AI
ChatGPT
Econometrics
OLS
Python
replication
Stata
Recent research suggests ChatGPT â aced the test of understanding in college economicsâ, ChatGPT â is effective in stock selection â , that it â can predict future interest rate decisionsâ and that using ChatGPT â can yield more accurate predictions and enhance the performance of quantitative trading strategiesâ. ChatGPT 4 also does econometrics: when I submitted the dataset and description of one of my econometric case studies, ChatGPT was able to âreadâ the document, run the regressions and correctly interpret the estimates.
April 4, 2024
| By The Replication Network
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Bayesian analysis
Econ Journal Watch
economics
False Discovery Rate
Hypothesis testing
null hypothesis significance testing
p-value
Prior probabilities
replication crisis
[*AoI = âArticles of Interestâ is a feature of TRN where we report abstracts of recent research related to replication and research integrity.]
ABSTRACT (taken from*** the article***)
âA scientific discovery in empirical research, e.g., establishing a causal relationship between two variables, is typically based on rejecting a statistical null hypothesis of no relationship.
February 27, 2024
| By The Replication Network
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Meta-analyses
p-values
Publication selection
Selective reporting
[*AoI = âArticles of Interestâ is a feature of TRN where we report abstracts of recent research related to replication and research integrity.]
ABSTRACT (taken from the article)
âUsing a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases.
January 27, 2024
| By The Replication Network
Tags:
GUEST BLOGS
Nature Human Behavior
replication
Replication Games
Replication Initiative
Reproduction
[*AoI = âArticles of Interestâ is a feature of TRN where we report excerpts of recent research related to replication and research integrity.]
EXCERPTS (taken from the article)
âWe are thrilled to announce that we are broadening our focus to new disciplines through a collaboration with Nature Human Behaviour. As part of this collaboration, we will be reproducing and replicating as many studies as possible of those that are published in Nature Human Behaviour (from 2023 and going forward), including in the fields of anthropology, epidemiology, economics, management, politics and psychology.
January 24, 2024
| By The Replication Network
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Journal policies
political science
Replicability
Reproducibility
[*AoI = âArticles of Interestâ is a feature of TRN where we report abstracts of recent research related to replication and research integrity.]
ABSTRACT (taken from the article)
âThis article reviews and summarizes current reproduction and replication practices in political science. We first provide definitions for reproducibility and replicability. We then review data availability policies for 28 leading political science journals and present the results from a survey of editors about their willingness to publish comments and replications.
January 10, 2024
| By The Replication Network
Tags:
GUEST BLOGS
economics
p-hacking
Pre-Analysis plans
Pre-registration
publication bias
[*AoI = âArticles of Interestâ is a feature of TRN where we report excerpts of recent research related to replication and research integrity.]
EXCERPTS (taken from the article)
âPre-registration is regarded as an important contributor to research credibility. We investigate this by analyzing the pattern of test statistics from the universe of randomized controlled trials (RCT) studies published in 15 leading economics journals.
December 27, 2023
| By The Replication Network
Tags:
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Conventional wisdom
maer-net
Meta-analysis
publication bias
[*AoI = âArticles of Interestâ is a feature of TRN where we report excerpts of recent research related to replication and research integrity.]
EXCERPT (taken from the article)
âThe purpose of this study is to compare the findings of influential meta-analyses to the âconventional wisdomâ about the same economic question or issue.
December 15, 2023
| By The Replication Network
Tags:
GUEST BLOGS
Bias
Chris Doucouliagos
Inverse variance weighting
maer-net
Meta-analysis
Partial Correlation Coefficients
PCC
Robbie van Aert
Tom Stanley
Variance
Weighted Least Squares
[This blog first appeared at the MAER-Net Blog under the title âSomething I Recently Learned About PCCs That Maybe You Also Didnât Knowâ, see here]
While TRN is primarily dedicated to replications in economics, I also do research on meta-analysis. As such, I try to attend the Meta-Analysis in Economics Research Network (MAER-Net) Colloquium every year.
November 28, 2023
| By The Replication Network
Tags:
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Peer scholars
Prosocial concerns
Science
Scientific censorship
Self-protection
[*AoI = âArticles of Interestâ is a feature of TRN where we report abstracts of recent research related to replication and research integrity.]
ABSTRACT (taken from the article)
âScience is among humanityâs greatest achievements, yet scientific censorship is rarely studied empirically. We explore the social, psychological, and institutional causes and consequences of scientific censorship (defined as actions aimed at obstructing particular scientific ideas from reaching an audience for reasons other than low scientific quality).