An Exploration of the Presence of Positive-Results Bias in Qualitative Comparative Analysis
Datos Bibliográficos
| ID | 3023482 |
|---|---|
| Autores | Ingo Rohlfing (0000-0001-8715-4771, University of Passau, autor de correspondencia) |
| Año | 2025 |
| Volumen | 55 |
| Número | 3 |
| Páginas | 957-980 |
| Fecha de publicación | 2025-09-01 |
| Peer Reviewed | Sí |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | Sociological Methods & Research (JOURNAL) |
| Identificadores de la revista | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Editorial | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/00491241251357948 |
| OpenAlex | W4413879145 |
| Idioma | EN |
| Citas recibidas | 1 |
| Referencias citadas | 29 |
The value of negative results for knowledge advancement stands in contrast to the abundance of positive findings found in quantitative research across research fields. There is reason to believe that positive-results bias is also present in studies that use qualitative comparative analysis (QCA). This possibility has been neglected so far in work on QCA. This article contributes to the field of meta science and QCA by exploring whether hypothesis-testing QCA articles collectively indicate the presence of positive-results bias. An analysis of consistency scores and comparison of hypotheses and findings reported in QCA articles and PhD theses indicate the presence of biases. The results suggest two implications. First, the interpretation fo findings in a field should take into account that negative results may be underreported. Second, QCA research would benefit from exploring techniques that could be integrated into the research and peer-review process to address positive-results bias
Econometrics · Qualitative analysis · Qualitative comparative analysis · Qualitative research · Social science · Sociology · Statistics · Mathematics · Psychology · Qualitative Comparative Analysis Research · Social Psychology
Redesigning Social Inquiry
The preregistration revolution
Do Pressures to Publish Increase Scientists' Bias? An Empirical Support from US States Data
Publication bias in the social sciences
The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant
Negative results are disappearing from most disciplines and countries
Transparent and Reproducible Social Science Research
Set-Theoretic Methods for the Social Sciences
The Null Result Penalty
Building bonds
Set Relations in Social Research
The origins, development, and application of Qualitative Comparative Analysis
How Annotation for Transparent Inquiry Can Enhance Research Transparency in Qualitative Comparative Analysis
The past, present and future of Registered Reports
The file drawer problem and tolerance for null results
An Exploration of the Presence of Positive-Results Bias in Qualitative Comparative Analysis
Detecting Causal Chains in Small-n Data
Designing Research With Qualitative Comparative Analysis (QCA)
Publication Bias in Empirical Sociological Research
Advances in transparency and reproducibility in the social sciences
| Obras citantes distintas | 1 |
|---|---|
| Citas por año | 1 |
| Intervalo de citas | 2025 - 2025 (1) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 1 |