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September 17, 2026
'I Wish That People Would Place Greater Trust in Science'
When Tatiana Eremicheva chose Fundamental and Computational Linguistics as her field of study, she thought it would be about learning languages. Instead, she discovered it was about helping people. In this interview for the HSE Young Scientists project, she discusses science as a way of understanding the world, billiards as a team-building activity, and why learning to read is not always as easy as it seems.
September 15, 2026
Immunity to Chaos: How Personal Resources Help Us Cope with the Challenges of a Turbulent World
International conflicts, crises and digital overload—the modern world puts our minds to the test every day. Traditional psychology often focuses on the consequences: anxiety, depression, and psychosomatic disorders. But what if we looked at the problem differently—through the lens of the resources that prevent us from breaking down? Psychological immunity is precisely this set of resources. Alena Zolotareva and her group, Psychological Immunity as a Resource for Positive Functioning, are developing an integrative model of this phenomenon, adapting diagnostic tools and preparing for large-scale empirical research. Why do psychologists need to collaborate with medical professionals, and how could their research transform preventive care in clinics and corporations?
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.

 

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Empirically derived guidelines for effect size interpretation in social psychology

European Journal of Social Psychology. 2021. Vol. 51. No. 3. P. 485–504.
Lovakov A., Agadullina E.

This study estimates empirically derived guidelines for effect size interpretation for research in social psychology overall and subdisciplines within social psychology, based on analysis of the true distributions of the two types of effect size measures widely used in social psychology (correlation coefficient and standardized mean differences). Analysis of empirically derived distributions of 12,170 correlation coefficients and 6,447 Cohen’s d statistics extracted from studies included in 134 published meta-analyses revealed that the 25th, 50th, and 75th percentiles corresponded to correlation coefficient values of 0.12, 0.24, and 0.41 and to Cohen’s d values of 0.15, 0.36, and 0.65 respectively. The analysis suggests that the widely used Cohen’s guidelines tend to overestimate medium and large effect sizes. Empirically derived effect size distributions in social psychology overall and subdisciplines can be used both for effect size interpretation and for sample size planning when other information about effect size is not available.

Research target: Psychology
Language: English
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Keywords: correlationкорреляцияeffect sizeCohen’s dSample sizeразмер эффектаразмер выборкиd Коэна
Publication based on the results of:
Stigmatization and inequality in the professional and social spheres (2021)
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