ArticleFrontiers in psychology2017
From Discovery to Justification: Outline of an Ideal Research Program in Empirical Psychology.
Article in Frontiers in psychology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- The Bayesian audit: evaluating the proportionality of scientific claims to evidence - a case study on social priming and walking speed.Frontiers in psychology · 2026Review
- Meta-analysis: a tool for constructing theories or evaluating interventions or simply proving everyday assumptions?Frontiers in psychology · 2024Article
- Trust in government moderates the association between fear of COVID-19 as well as empathic concern and preventive behaviour.Communications psychology · 2023Article
- Predicted as observed? How to identify empirically adequate theoretical constructs.Frontiers in psychology · 2022Article
- Why Most Research Findings About Psi Are False: The Replicability Crisis, the Psi Paradox and the Myth of Sisyphus.Frontiers in psychology · 2020Review
- Bayes factors for superiority, non-inferiority, and equivalence designs.BMC medical research methodology · 2019Article
- The EFPA Test-Review Model: When Good Intentions Meet a Methodological Thought Disorder.Behavioral sciences (Basel, Switzerland) · 2018Article
- Uncovering Pluralistic Ignorance to Change Men's Communal Self-descriptions, Attitudes, and Behavioral Intentions.Frontiers in psychology · 2018Article
- Hypothesis-Testing Demands Trustworthy Data-A Simulation Approach to Inferential Statistics Advocating the Research Program Strategy.Frontiers in psychology · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The gold standard for an empirical science is the replicability of its research results. But the estimated average replicability rate of key-effects that top-tier psychology journals report falls between 36 and 39% (objective vs. subjective rate; Open Science Collaboration, 2015). So the standard mode of applying null-hypothesis significance testing (NHST) fails to adequately separate stable from random effects. Therefore, NHST does not fully convince as a statistical inference strategy. We argue that the replicability crisis is "home-made" because more sophisticated strategies can deliver results the successful replication of which is sufficiently probable. Thus, we can overcome the replicability crisis by integrating empirical results into genuine research programs. Instead of continuing to narrowly evaluate only the stability of data against random fluctuations (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.