Zagyi Emese, Sándor Anikó, Kullmann Lajos:

Challenges, quality and risks of quantitative and qualitative research


2025/2 | #detection #evidence-based rehabilitation care #risk of bias | DOI: 10.31287/FT.hu.2025.2.3

Research bias is a rarely discussed yet important issue in Hungarian academic literature. Even in respected journals, bias often jeopardises the publication of data that may not be generalisable or valid. Familiarity with this topic is not only useful for researchers but also valuable for readers of scientific publications, enabling them to critically assess the material they encounter. It is particularly important for those involved in the development of evidence-based methodological or professional guidelines to avoid using sources with a high risk of bias or drawing insufficiently grounded conclusions based on such works. This paper provides a concise, narrative overview based on previous continuous and currently targeted literature review. It addresses the forms and causes of bias, along with possible methods for its prevention and detection. In addition, it provides valuable resources for those engaged in developing professional guidelines. The paper also presents an initial insight into the literature on biases in qualitative research, thereby opening space for further professional and methodological discussions.