Credibility Gap

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A01=Anna Dreber
A01=Magnus Johannesson
Author_Anna Dreber
Author_Magnus Johannesson
Category=GPS
Category=KCA
Category=KCH
Category=KCJ
Category=PBT
Category=PBWH
Econometrics
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False positive results
improving social science research reliability
meta-analysis methods
observational study bias
Open Science Collaboration
open science movement
p-hacking detection
replicability and generalizability of empirical research
Reproducibility
Research designs
Research methods in the social sciences
research transparency
Social sciences
statistical significance testing

Product details

  • ISBN 9781032942896
  • Weight: 380g
  • Dimensions: 156 x 234mm
  • Publication Date: 02 Apr 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Which scientific results can we trust? This question has been brought to the forefront of research in the social sciences in recent years with the movement towards open science practices and preregistration. Systematic replication studies of laboratory experiments in the social sciences have found that only about half of the “statistically significant” results published in top journals can be replicated in the sense that similar results are achieved with new data. This low replicability may be even lower in studies based on observational data as such studies have more degrees of freedom in the analysis of the data leading to larger possibilities to selectively report more publishable findings.

In this book, the authors provide a framework for evaluating reproducibility, replicability and generalizability of empirical research in the social sciences. They define different types of reproducibility and replicability and show how they can be measured to evaluate the credibility of published findings. Different approaches to improving the credibility of published findings, such as preregistration with detailed pre-analysis plans, Registered Report publications, and preregistered prospective meta-analysis are also outlined and discussed. Even if published results are not systematically biased, the variation in results across populations, research designs, and analyses decreases the reliability and generalizability of published findings. The book shows how such heterogeneity in results can be measured and incorporated in the analysis to more accurately represent the uncertainty and thereby generalizability of reported results.

Anna Dreber is Professor of economics at the Stockholm School of Economics, Sweden.

Magnus Johannesson is Professor of economics at the Stockholm School of Economics, Sweden.

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