More and more researchers in psychology and related disciplines are eager to learn how to get the best from their data. Although tutorials on statistical analyses are routinely published by specialised journals, they often assume an advanced statistical background and/or rely on abstract examples that may prevent applied researchers from fully engaging with those techniques. As a result, methodological barriers grow among researchers who do not have a strong quantitative background, which, ultimately, may lead them to use suboptimal statistical techniques.

For more details about this special edition, click here. 

Special Issue of the International Journal of Psychology – Call for Papers

Guest Editors

Antonio Zuffianò, Sapienza University of Rome

David Giofré, University of Genoa

“Tutorials on Quantitative Methods for Applied Psychological Researchers”

More and more researchers in psychology and related disciplines are eager to learn how to get the best from their data. Although tutorials on statistical analyses are routinely published by specialized journals, they often assume an advanced statistical background and/or rely on abstract examples that may prevent applied researchers from fully engaging with those techniques. As a result, methodological barriers grow among researchers who do not have a strong quantitative background, which, ultimately, may lead them to use suboptimal statistical techniques.

In this special issue, we welcome contributions that teach applied researchers how to implement statistical methods that are becoming highly requested in today’s psychological research world. Specific examples could include — but are not limited to — tutorials on power analysis, difference-in-differences method, instrumental variables, analysis of intensive longitudinal data, analysis of count data, meta-analysis, causal mediation, etc. To help applied researchers include these techniques in their methodological toolbox, authors are encouraged to maintain a strong substantive focus over a technical one.        

Each article should be accompanied by computer codes and/or screenshots with comments (preferably using free and/or widely used statistical software such as R, Jamovi, Jasp) to help the targeted audience understand and apply these methods.

Authors are welcome to contact the guest editors if they have any questions about the special call

Dr. Antonio Zuffianò email: antonio.zuffiano@uniroma1.it

Dr. David Giofré email: david.giofre@unige.it

Deadlines

1 Abstract submission (600 words): August 30, 2023

 The word count does not include tables, figures, references

2 Each abstract will be reviewed by the editors and only a subset of proposals will be invited to submit a full paper. Notification will be sent by September 20, 2023

3 Full papers are expected to be submitted by December 20, 2023

All papers will be peer-reviewed and there will be no guarantee of acceptance.