2022-05-31

Dear Colleagues,
Recent years have witnessed turbulent discussions and changes in our scientific discipline. Researchers have identified numerous problems in psychological research that are primarily related to the replicability of results (Ioannidis, 2005; Open Science Collaboration, 2015), but also measurement (Flake & Fried, 2020), generalisability (Yorkoni, 2020), theory (Eronen & Bringmann, 2021; Oberauer & Lewandowsky, 2019), etc. These problems have undermined the overall reliability of research and have led to declaration of ‘crisis state’. As a result, new solutions have been proposed in methodology, statistics and metatheory. The Review of Psychology would like to contribute to the discussion on the crisis of credibility by dedicating a separate thematic issue to this topic. The special issue will feature articles encompassing the philosophy of science, metapsychology and psychometrics that will address the crisis causes and manifestations and propose solutions. In addition to theoretical papers, we also welcome practically oriented contributions, including proposals of best research practices to enhance the scientific credibility of psychology.

The following questions could prove inspirational for the authors:

• Are most results in psychological research false (Ioannidis, 2005)? Why are they so difficult to replicate?
• Is null hypothesis testing really a mindless ritual (Gigerenzer, 2004) and one of the worst things that has happened to psychology (Meehl, 1978)?
• What are the causes and consequences of the popularity of the inconsistent hybrid of Fisher and Neyman-Pearson approaches?
• Can p-values be used correctly, rather than eliminated (Lakens, 2021)?
• Are confidence intervals an appropriate response to the limitations of NHST(Cumming, 2017)?
• Does hypothesizing after the results are known (HARKing; Kerr, 1998) constitute abuse or is it merely an inevitable consequence of the hypothetico-deductive model of science and a preference for confirmatory research?
• What problems can and cannot be solved by pre-registration (Szollosi et al., 2019)?
• Do we need more detailed descriptions of the studied phenomena (Rozin, 2001), exploratory research and formulation of hypotheses by means of abduction (Borsboom, van der Maas et al., 2021)?
• What is the potential of causal inference (Pearl, 2021) and the discovery of Directed Acyclic Graphs (DAGs), and should we really start talking about causality in observational studies (Hernan, 2018)?
• How to use Agent-Based Modeling (ABM) in research and developing psychological theories (Smaldino et al., 2015)?
• Where and how can network analysis be applied in psychology (Borsboom, Deserno et al., 2021)?
• What opportunities are created by the unprecedentedly large datasets (big data), both inter- and intra-personal (Intensive Longitudinal Data)?
• How to create better psychological theories (Borsboom, van der Maas et al, 2021; Smaldino, 2020; van Rooij & Baggio, 2021)?

 

Deadlines:
- abstracts (up to 500 words) should be submitted to the Editor’s e-mail address: a.bialek@uj.edu.pl by 30 June 2022
- invitation to submit full-length articles: 12 July 2022
- submission of full-length articles: 15 October 2022

Call for papers - Special Issue 2023