Detection Theory A User’s Guide

Detection Theory: A User’s Guide by Neil A. Macmillan, published by Routledge in September 2021, is a comprehensive introduction to detection theory, a crucial tool for analyzing data in situations where choices must be made and performance is imperfect. This edition spans 434 pages and is presented in English, offering insights into transforming subjective experiences, such as perceptions and memories, into quantitative data suitable for analysis and modeling.
Readers will find a structured approach to understanding detection and discrimination, with the initial chapters focusing on measuring these concepts and evaluating decision criteria. The book also delves into advanced research paradigms, providing practical tools like flowcharts and tables, along with a student-friendly language that makes complex topics accessible. It covers both one-dimensional and multidimensional models, integrating threshold and nonparametric approaches, and presents popular discrimination paradigms as applications of multidimensional detection theory, making it a valuable resource for graduate students and researchers in psychology and cognitive science.
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Detection Theory: A User’s Guide is an introduction to one of the most important tools for the analysis of data where choices must be made and performance is not perfect. In these cases, detection theory can transform judgments about subjective experiences, such as perceptions and memories, into quantitative data ready for analysis and modeling.
For beginners, the first three chapters introduce measuring detection and discrimination, evaluating decision criteria, and the utility of receiver operating characteristics. Later chapters cover more advanced research paradigms, including: complete tools for application, including flowcharts, tables, and software; student-friendly language; complete coverage of content area, including both one-dimensional and multidimensional models; integrated treatment of threshold and nonparametric approaches; an organized, tutorial level introduction to multidimensional detection theory; and popular discrimination paradigms presented as applications of multidimensional detection theory.
This modern summary of signal detection theory is both a self-contained reference work for users and a readable text for graduate students and researchers learning the material either in courses or on their own.
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