Сравнение методов

	Тест неявных ассоциаций	Теория обнаружения сигналов
Область	Психология	Психология
Семейство	Hypothesis test	Hypothesis test
Год появления	1998	1966
Автор метода	Anthony Greenwald, Debbie McGhee, and Jordan Schwartz	David Green and John Swets
Тип	Computerized reaction-time measure	Signal detection framework
Основополагающий источник	Greenwald, A. G., McGhee, D. E., & Schwartz, J. L. K. (1998). Measuring individual differences in implicit cognition: The Implicit Association Test. Journal of Personality and Social Psychology, 74(6), 1464-1480.	Green, D. M., & Swets, J. A. (1966). Signal detection theory and psychophysics. Wiley.
Другие названия	IAT, Implicit Attitude Test	SDT, Detection Theory
Связанные	2	0
Сводка	The Implicit Association Test (IAT) is a computerized measure designed to detect automatic associations between concepts in memory, such as implicit attitudes toward social groups or implicit self-concepts. Introduced by Greenwald, McGhee, and Schwartz in 1998, it infers the strength and valence of associations from the ease and speed with which people categorize stimuli when pairing concepts, revealing unconscious biases and attitudes that may not appear in explicit self-report measures.	Signal Detection Theory (SDT) is a framework for analyzing how observers detect signals embedded in noise, accounting for both sensory capacity and decision-making bias. Developed by Green and Swets in the 1960s, it provides a principled method for measuring sensitivity and response criteria separately, making it foundational in psychophysics, perception research, and diagnostic decision-making.