Theory-based solutions for the pervasive problem of response bias. Self-report data inform basic research and applied studies across many fields including psychology, economics, and medicine. Response

Description

Theory-based solutions for the pervasive problem of response bias. Self-report data inform basic research and applied studies across many fields including psychology, economics, and medicine. Response bias poses a fundamental problem: what different people mean by "strongly agree" is not the same. This project aims to develop psychological theory to understand and measure response biases in self-report. By understanding the decision-making process that converts internal states into external responses, this approach identifies biases directly from data without relying on assumptions about response styles. This advance is significant for improving the truthfulness of self-report data, while also providing a theoretical understanding of how people use think about and communicate their internal preferences.. Scheme: Discovery Projects. Field: 5204 - Cognitive and Computational Psychology. Lead: Prof Scott Brown