Research Topic · Peer-Reviewed

Statistical Designs in Psychology

Statistical designs in psychology refer to the use of statistical analysis to understand the correlations between psychological variables such as personality traits, attitudes and behaviours. This involves collecting data from large samples of individuals and analysing it in order to extract meaningful patterns and …

📚 0 peer-reviewed articles cited 🗓 Reviewed June 2026

Overview

Statistical designs in psychology refer to the use of statistical analysis to understand the correlations between psychological variables such as personality traits, attitudes and behaviours. This involves collecting data from large samples of individuals and analysing it in order to extract meaningful patterns and insights. Statistical designs can be used to test hypotheses, identify correlations between different psychological variables and also to evaluate the effectiveness of interventions. By understanding these relationships, psychologists are better equipped to diagnose and treat mental health issues. Additionally, this type of research can be used to inform public policy decisions, allowing governments and organisations to make more informed decisions. Statistical designs are a powerful tool that can help psychologists gain a better understanding of the complexities of the mind.

Research published in this journal

No peer-reviewed research on this exact topic has been published in Cognitive Behavioral Therapy yet. Browse the journal →

Editorial oversight

Curated from peer-reviewed research published in Cognitive Behavioral Therapy.

Journal editorial board
Marco Bozzali · Italy Joanna Chylińska · Poland Nophar Geifman · United Kingdom

This page summarises published research for orientation; it is not medical or professional advice.