Как стереотипы заставляют мозг тупеть. Клод М. Стил

Читать онлайн.
Название Как стереотипы заставляют мозг тупеть
Автор произведения Клод М. Стил
Жанр Социальная психология
Серия Нонфикшн Рунета
Издательство Социальная психология
Год выпуска 2010
isbn 978-5-17-110451-1



Скачать книгу

исследованиях это окажется лишним. Сильные студенты-математики женского пола отставали в тестах вроде этого без напоминания, что в нем проявляются гендерные различия. Они просто предполагали это.

      8

      Daryl Michael Scott Contempt and Pity

      9

      Важно подчеркнуть, что мы использовали стандартные статистические процедуры, чтобы подогнать результаты наших «черных» и белых студентов под любые различия в навыках решения тестов (основываясь на их результатах АОТ при поступлении), которые могли существовать между черными и белыми студентами до эксперимента. Это позволило нам для всех целей и намерений отобрать «черных» и белых участников с одинаковыми навыками и знаниями в решении тестов.

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