Truth or Myth? Stereotype Effectvs. Reality. Performance Results The race gap in standardized test scores is prominent in the SAT   Verbal SAT Score.

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Presentation transcript:

Truth or Myth? Stereotype Effectvs. Reality

Performance Results The race gap in standardized test scores is prominent in the SAT   Verbal SAT Score and Math SAT Score Distributions of Applicants to Five Selective Institutions, by Race, 1989

Stereotypes  Must exist for a reason  Are they half-truths?  really no true answer.  Very complicated answer, with several factors to consider.

Performance Testing  Procedure: 32 black, 27 white undergraduates took an exchange for pay course.  Verbal test performance was given with a Black experimenter as well as a White experimenter

Results  White participants—no difference  Black participants- -Underperformed when the test was given by a white experimenter -Performed just as well as their white counterparts when given by black experimenters

Why?  Black participants felt a ‘threat in the air’  Had to do with the stereotype of how they thought others perceived their academic ability  [shows that stereotype threat can be consciously accessed]

Why? Other factors  Reasons for immigration  Voluntary vs. involuntary  Those who seek a better life  Those who came through enslavement/ colonization

Attitude Adjustment  Those that came to enhance life, viewed schooling as a step in the right direction.  Those that came due to enslavement viewed school as a threat to their cultural self.

Support  Certain minorities relied more heavily on teacher support, and teacher attitude towards their academic potential  Student performance of “mastery” achievement orientation could be predicted by the amount of positive rapport received by student.

References  Brislin, R., Worthley, R. & Macnab, B. (2006). Group & Organizational Management, 31,  Geary, D. C. (1996). International differences in mathematical achievement: Their nature, causes, and consequences. Current Directions in Psychological Science, 5,  Lu, L. & Bigler, E. D. (2002). Normative data on trail making test for neurologically normal, Chinese-speaking adults. Applied Neuropsychology, 9,  Marx, D. M., & Goff, P. A. (2005). Clearing the air: The effect of experimenter race on target’s test performance and subjective experience. British Journal of Social Psychology, 44,  Nasir, S.N. (2004). When culture is not in the students, and learning is not in the head. Human Development, 47,  Sternberg, R. J., Grigorenko, E. L., & Kidd, K. K. (2005). Intelligence, race, and genetics. American Psychologist, 60,  Strage, Amy. Social and academic integration an college success: similarities and differences as a function of ethnicity and family educational background. College Student Journal, 33.  Suzuki, L., & Aronson, J. (2005). The cultural malleability of intelligence and its impact on the racial/ethnic hierarchy. Psychology, Public Policy, and Law, 11,  Nisbett, R. E. (2005). Heredity, environment, and race differences in iq. Psychology, 11,

Solutions   2. D  3.Let's assume that HM = Human and HR = Horse HM + HR = 74 2HM + 4HR = 196 (2HM + 4HR) - (2 HM + 2HR) = HR = 48 HR = 24 HM + (24) = 74 HM = HM = 50  So, the solution is 24 horses and 50 humans.