Research on racial and ethnic differences in intelligence indicates that:

Abstract

There are signs that the debate over racial and gender differences in intelligence is about to begin again. In this article we will be concerned primarily with racial differences but will make remarks about gender differences where applicable. Previously there have been bitter arguments over whether or not races exist, over whether it is either important or proper to study racial and gender differences in intelligence, and over the conclusions that have been drawn about environmental and genetic causes as determinants of these differences. We argue that races do, indeed, exist and that studying differences in cognitive competence between groups is a reasonable thing to do. We also point out that past research on both racial and gender differences in intelligence has been marked by methodological errors and overgeneralizations by researchers on all sides of the issue. We propose ten principles of design, analysis, and reporting that ought to be considered carefully when doing or evaluating research in this area.

Journal Information

Perspectives on Psychological Science publishes an eclectic mix of provocative reports and articles, including broad integrative reviews, overviews of research programs, meta-analyses, theoretical statements, book reviews, and articles on topics such as the philosophy of science, opinion pieces about major issues in the field, autobiographical reflections of senior members of the field, and even occasional humorous essays and sketches. Perspectives contains both invited and submitted articles.

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Sara Miller McCune founded SAGE Publishing in 1965 to support the dissemination of usable knowledge and educate a global community. SAGE is a leading international provider of innovative, high-quality content publishing more than 900 journals and over 800 new books each year, spanning a wide range of subject areas. A growing selection of library products includes archives, data, case studies and video. SAGE remains majority owned by our founder and after her lifetime will become owned by a charitable trust that secures the company’s continued independence. Principal offices are located in Los Angeles, London, New Delhi, Singapore, Washington DC and Melbourne. www.sagepublishing.com

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References

Alberg, L. J., & Castro-Olivo, S. M. (2014). The relationship between mental health, acculturative stress, and academic performance in a Latino middle school sample. Contemporary School Psychology, 18, 178186.CrossRefGoogle Scholar

American Educational Research Association, American Psychological Association, & National Council on Measurement in Education. (2014). Standards for educational and psychological testing. Washington: AERA.

Anderson, R. E. (2018). And still WE rise: Parent-child relationships, resilience, and school readiness in low income urban black families. Journal of Family Psychology, 32(1), 6070.CrossRefGoogle ScholarPubMed

Armour-Thomas, E., & Suzuki, L. (2016). Measuring and understanding intellectual and other abilities. In Leung, F. T. L., Bartram, D., Cheung, F. M., Geisinger, K. F., & Iliescu, D. (Eds.), The ITC International handbook of testing and assessment (pp. 4962). New York: Oxford University Press.CrossRefGoogle Scholar

Berry, C. M., Clark, M. A., & McClure, T. K. (2011). Racial/ethnic differences in the criterion-related validity of cognitive ability tests: A qualitative and quantitative review. Journal of Applied Psychology, 96(5), 881906.CrossRefGoogle ScholarPubMed

Bowden, S. C., Saklofske, D. H., & Weiss, L. G. (2011). Invariance of the measurement model underlying the Wechsler Adult Intelligence Scale-IV in the United States and Canada. Educational and Psychological Measurement, 71(1), 186199.CrossRefGoogle Scholar

Brislin, R., Worthley, R., & Macnab, B. (2006). Cultural intelligence: Understanding behaviors that serve people’s goals. Group and Organizational Management, 31(1), 4055.CrossRefGoogle Scholar

Brown, R. P., & Day, E. (2006). The difference isn’t Black and White: Stereotype threat and the race gap on Raven’s Advanced Progressive Matrices. Journal of Applied Psychology, 91(4), 979985.CrossRefGoogle ScholarPubMed

Ceci, S. J. (1996). On intelligence … more or less: A bioecological treatise on intellectual development. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar

Chan, A., Yeung, D., Chan, Y. L., He, W. J., Cheung, M. C., Lam, J., et al. (2002). Different neurocognitive semantic processes for alphabetic and logographic languages. Abstract presented at the 30th Annual Meeting of the International Neuropsychological Society, Toronto, Canada, February.

Chang, D. F., & Demyan, A. (2007). Teachers’ stereotypes of Asians, Blacks, and White students. School Psychology Quarterly, 22(2), 91114.CrossRefGoogle Scholar

Chang, D. F., & Sue, S. (2003). The effects of race and problem type on teachers’ assessment of student behavior. Journal of Consulting and Clinical Psychology, 71, 235242.CrossRefGoogle Scholar

Cheung, H., & Kemper, S. (1993). Recall and articulation of English and Chinese words by Chinese English bilinguals. Memory and Cognition, 21(5), 666670.CrossRefGoogle ScholarPubMed

Cheung, F. M., Leong, F. T. L., & Ben-Porath, Y. S. (2003). Psychological assessment in Asia: Introduction to the special section. Psychological Assessment, 15, 243247.CrossRefGoogle ScholarPubMed

Chincotta, D., & Underwood, G. (1997). Digit span and articulatory suppression: A cross-linguistic comparison. European Journal of Cognitive Psychology, 9(1), 8996.CrossRefGoogle Scholar

Chiu, S. H., & DiMarco, M. (2010). A pilot study comparing two developmental screening tools for use with homeless children. Journal of Pediatric Health Care, 24(2), 7380.CrossRefGoogle ScholarPubMed

Cohen, G. L., & Sherman, D. K. (2005). Stereotype threat and the social and scientific contexts of the race achievement gap. American Psychologist, 60(3), 270271.CrossRefGoogle ScholarPubMed

Cole, M. (2017). Idiocultural design as a tool of cultural psychology. Perspectives on Psychological Science, 12(5), 772781.CrossRefGoogle ScholarPubMed

Cormier, D. C., Wang, K., & Kennedy, K. E. (2016). Linguistic demands of the oral directions for administering the WISC-IV and WISC-V. Canadian Journal of School Psychology, 31(4), 290304.CrossRefGoogle Scholar

Dale, B. A., Finch, M. H., Mcintosh, D. E., Rothlisberg, B. A., & Finch, W. H. (2014). Utility of the Stanford-Binet Intelligence Scales, Fifth Edition, with ethnically diverse preschoolers. Psychology in the Schools, 51(6), 581590.CrossRefGoogle Scholar

Dickens, W. T., & Flynn, J. R. (2006). Black Americans reduce the racial IQ gap: Evidence from standardization samples. Psychological Science, 17, 913920.CrossRefGoogle ScholarPubMed

Ellis, C., Kuipers, J. R., Thierry, G., Lovett, V., Turnbull, O., & Jones, M. W. (2015). Language and culture modulate online semantic processing. Social Cognitive and Affective Neuroscience, 10(10), 13921396.CrossRefGoogle ScholarPubMed

Fagan, J. F., & Holland, C. R. (2006). Racial equality in intelligence: Predictions from a theory of intelligence as processing. Intelligence, 35(4), 319334.CrossRefGoogle Scholar

Fenollar-Cortes, J., & Watkins, M. W. (2018). Construct validity of the Spanish version of the Wechsler Intelligence Scale for Children Fifth Edition (WISC-V Spain). International Journal of School and Educational Psychology. https://doi.org/10.1080/21683603.2017.1414006CrossRef

Flanagan, D. P., Ortiz, S. O., & Alfonso, V. C. (2007). Essentials of cross-battery assessment (2nd ed.). San Francisco: Wiley.Google Scholar

Ford, D. Y., Grantham, T. C., & Whiting, G. W. (2008). Culturally and linguistically diverse students in gifted education: Recruitment and retention issues. Exceptional Children, 74(3), 289306.Google Scholar

Ford, D. Y., & Helms, J. E. (2012). Overview and introduction: Testing and assessing African Americans: “Unbiased” tests are still unfair. Journal of Negro Education, 81(3), 186189.CrossRefGoogle Scholar

Franklin, V. P. (2007). The tests are written for the dogs: The Journal of Negro Education, African American children, and the intelligence testing movement in historical perspective. Journal of Negro Education, 76(3), 216231.Google Scholar

Garcia Coll, C., & Marks, A. K. (Eds.) (2012). The immigrant paradox in children and adolescents: Is becoming American a developmental risk? Washington: American Psychological Association.CrossRefGoogle Scholar

Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. New York: Basic Books.Google Scholar

Geertz, C. (1973). The interpretation of cultures: Selected essays by Clifford Geertz. New York: Basic Books.Google Scholar

Goldberger, N. R., & Veroff, J. B. (Eds.) (1995). The culture and psychology reader. New York: New York University Press.Google Scholar

Greenfield, P. M., Maynard, A. E., & Childs, C. P. (2003). Historical change, cultural learning, and cognitive representation in Zinacantec Maya children. Cognitive Development, 18, 455487.CrossRefGoogle Scholar

Hadd, A. R., & Rodgers, J. L. (2017). Intelligence, income, and education as potential influences on a child’s home environment: A (maternal) sibling-comparison design. Developmental Psychology, 53(7), 12861299.CrossRefGoogle ScholarPubMed

Hagie, M. U., Gallipo, P. L., & Svien, L. (2003). Traditional culture versus traditional assessment for American Indian students: An investigation of potential test item bias. Assessment for Effective Intervention, 29(1), 1525.CrossRefGoogle Scholar

Harris, A. M., Reynolds, M. A., & Koegel, H. M. (1996). Nonverbal assessment: Multicultural perspectives. In Suzuki, L. A., Meller, P. J., & Ponterotto, J. G. (Eds.), Handbook of multicultural assessment: Clinical, psychological, and educational applications (pp. 223252). San Francisco: Jossey-Bass.Google Scholar

Hedden, T., Park, D. C., Nisbett, R., Ji, L. J., Jing, Q., & Jiao, S. (2002). Cultural variation in verbal versus spatial neuropsychological function across the life span. Neuropsychology, 16(1), 6573.CrossRefGoogle ScholarPubMed

Helms, J. E. (1992). Why is there no study of cultural equivalence in standardized cognitive ability testing? American Psychologist, 47(9), 10831101.CrossRefGoogle Scholar

Helms, J. E. (1995). An update of Helms’ White and people of color racial identity models. In Ponterotto, J. G., Casas, J. M., Suzuki, L. A., & Alexander, C. M. (Eds.), Handbook of multicultural counseling (pp. 181198). Thousand Oaks, CA: Sage.Google Scholar

Helms, J. E. (2002). A remedy for the Black-White score disparity. American Psychologist, 57(4), 303305.Google ScholarPubMed

Helms, J. E. (2004). The 2003 Leona Tyler Award Address: Making race a matter of individual differences within groups. Counseling Psychologist, 32(3), 473483.CrossRefGoogle Scholar

Helms, J. E. (2005). Stereotype threat might explain the black-white test score difference. American Psychologist, 60(3), 269270.CrossRefGoogle ScholarPubMed

Helms, J. E. (2006). Fairness is not validity or cultural bias in racial-group assessment: A quantitative perspective. American Psychologist, 61(88), 845859.CrossRefGoogle ScholarPubMed

Herbers, J. E., Cutuli, J. J., Supkoff, L. M., Narayan, A. J., & Masten, A. S. (2014). Parenting and coregulation: Adaptive systems for competence in children experiencing homelessness. American Journal of Orthopsychiatry, 84(4), 420430.CrossRefGoogle ScholarPubMed

Hintze, J. M. (2009). Curriculum-based assessment. In Gutkin, T. B. & Reynolds, C. R. (Eds.), The handbook of school psychology (4th ed., pp. 397409). Hoboken, NJ: Wiley.Google Scholar

Hwa-Froelich, D. A., & Matsuo, H. (2005). Vietnamese children and language-based processing tasks. Language, Speech and Hearing Services in Schools, 36(3), 230243.CrossRefGoogle ScholarPubMed

Jensen, A. R. (1969). How much can we boost IQ and scholastic achievement? Harvard Educational Review, 39, 1123.CrossRefGoogle Scholar

Kroeber, A. L., & Kluckhohn, C. (1963). Culture: A critical review of concepts and definitions. Cambridge, MA: Harvard University Press.Google Scholar

Lakin, J. M., & Lai, E. R. (2012). Multigroup generalizability analysis of verbal, quantitative, and nonverbal ability tests for culturally and linguistically diverse students. Educational and Psychological Measurement, 72(1), 138158.CrossRefGoogle Scholar

Loo, S. K., & Rappaport, M. D. (1998). Ethnic variations in children’s problem behaviors: A cross-sectional, developmental study of Hawaii school children. Journal of Child Psychology and Psychiatry and Allied Disciplines, 39, 567575.CrossRefGoogle ScholarPubMed

López, S. R., & Guarnaccia, P. J. J. (2000). Cultural psychopathology: Uncovering the social world of mental illness. Annual Review of Psychology, 51, 571598.CrossRefGoogle ScholarPubMed

Lynn, R. (2015). Race differences in intelligence: An evolutionary analysis (2nd ed.). Arlington, VA: Washington Summit Publisher.Google Scholar

Mackintosh, N. J. (2011). IQ and human intelligence (2nd ed.). Oxford: Oxford University Press.Google Scholar

May, E. M., Azar, S. T., & Matthews, S. A. (2018). How does the neighborhood “come through the door?” Concentrated disadvantage, residential instability, and the home environment for preschoolers. American Journal of Community Psychology, 61, 218228.CrossRefGoogle ScholarPubMed

Mayer, D. M., & Hanges, P. J. (2003). Understanding stereotype threat effect with “culture-free” tests: An examination of its mediators and measurement. Human Performance, 16(3), 207230.CrossRefGoogle Scholar

Maynard, A. E., Subrahmanyam, K., & Greenfield, P. M. (2005). Technology and the development of intelligence: From the loom to the computer. In Sternberg, R. J. & Priess, D. D. (Eds.), The impact of tools on the nature and development of human abilities (pp. 2953). New York: Routledge.Google Scholar

McGrew, K. S., & Flanagan, D. P. (1998). The intelligence test desk reference (ITDR): Gf-Gc Cross Battery Assessment. Boston: Allyn & Bacon.Google Scholar

McShane, D. (1980). A review of scores of American Indian children on the Wechsler Intelligence Scale. White Cloud Journal, 2, 1822.Google Scholar

Meller, P. J., & Ohr, P. S. (1996). The assessment of culturally diverse infants and preschoolers. In Suzuki, L. A., Meller, P. J., & Ponterotto, J. G. (Eds.), Handbook of multicultural assessment: Clinical, psychological and educational applications (pp. 561610). San Francisco: Jossey-Bass.Google Scholar

Morris, M. (2016). PUSHOUT: The criminalization of black girls in schools. New York: The New Press.Google Scholar

Mpofu, E., & Ortiz, S. O. (2009). Equitable assessment practices in diverse contexts. In Grigorenko, E. L. (Ed.), Multicultural psychoeducational assessment (pp. 4176). New York: Springer.Google Scholar

Nisbett, R. E. (2009). Intelligence and how to get it: Why schools and cultures count. New York: Norton.Google Scholar

Nisbett, R. E., Aronson, J., Blair, C., Dickens, W., Flynn, J., Halpern, D. F., et al. (2012). Group differences in IQ are best understood as environmental in origin. American Psychologist, 67(6), 503504.CrossRefGoogle ScholarPubMed

Oakland, T. (2009). How universal are test development and use? In Grigorenko, E. L. (Ed.), Multicultural psychoeducational assessment (pp. 140). New York: Springer.Google Scholar

Okazaki, S., & Sue, S. (2000). Implications of test revisions for assessment with Asian Americans. Psychological Assessment, 12(30), 272280.CrossRefGoogle ScholarPubMed

Ortiz, S. O., & Ochoa, S. H. (2005). Advances in cognitive assessment of culturally linguistically diverse individuals. In Flanagan, D. P. & Harrison, P. L. (Eds.), Contemporary intellectual assessment: Theories, tests and issues (2nd ed., pp. 234250). New York: Guilford Press.Google Scholar

Parkinson, C., & Wheatley, T. (2015). The repurposed social brain. Trends in Cognitive Sciences, 19(3), 133141.CrossRefGoogle ScholarPubMed

Puente, A. E., & Puente, A. N. (2009). The challenge of meaning, abilities and competence in Hispanic/Latinos. In Grigorenko, E. L. (Ed.), Multicultural psychoeducational assessment (pp. 417441). New York: Springer.Google Scholar

Reardon, S. F. (2011). The widening academic achievement gap between the rich and the poor: New evidence and possible explanations. In Duncan, G. I. & Murname, R. J. (Eds.), Whither opportunity? Rising inequality, schools, and children’s life changes (pp. 91116). New York: Russell Sage Foundation.Google Scholar

Reschly, D. J., & Bergstrom, M. K. (2009). Response to intervention. In Gutkin, T. B. & Reynolds, C. R. (Eds.), The handbook of school psychology (4th ed., pp. 434460). Hoboken, NJ: Wiley.Google Scholar

Reynolds, C. R., & Lowe, P. A. (2009). The problem of bias in psychological assessment. In Gutkin, T. B. & Reynolds, C. R. (Eds.), The handbook of school psychology (4th ed., pp. 332374). Hoboken, NJ: Wiley.Google Scholar

Rhodes, R. L., Ochoa, S. H., & Ortiz, S. O. (2005). Assessing culturally and linguistically diverse students: A. practical guide. New York: Guilford Press.Google Scholar

Rivera, L. M. (2008). Acculturation and multicultural assessment: Issues, trends, and practice. In Suzuki, L. A. & Ponterotto, J. G. (Eds.), Handbook of multicultural assessment (3rd ed., pp. 7391). San Francisco: Jossey-Bass.Google Scholar

Rogoff, B., Coppens, A. D., Alcalá, L., Aceves-Azuara, I., Ruvalcaba, O., López, A., & Dayton, A. (2017). Noticing learners’ strengths through cultural research. Perspectives on Psychological Science, 12(5), 876888.CrossRefGoogle ScholarPubMed

Romstad, C., & Xiong, Z. B. (2017). Measuring formal intelligence in the informal learner: A case study among Hmong American students and cognitive assessment. Hmong Studies Journal, 18, 131.Google Scholar

Rushton, J. P. (2012). No narrowing in mean Black-White IQ differences – predicted by heritable g. American Psychologist, 67(6), 500501.CrossRefGoogle ScholarPubMed

Rushton, J. P., & Jensen, A. R. (2005). Thirty years of research on race differences in cognitive ability. Psychology, Public Policy, and Law, 11(2), 235294.CrossRefGoogle Scholar

Sackett, P. R., Hardison, C. M., & Cullen, M. J. (2004). On interpreting stereotype threat as accounting for African American–White differences on cognitive tests. American Psychologist, 59(1), 713.CrossRefGoogle ScholarPubMed

Scheiber, C. (2016). Do the Kaufman tests of cognitive ability and academic display construct bias across a representative sample of Black, Hispanic, and Caucasian school-age children in grades 1 through 12? Psychological Assessment, 28(8), 942952.CrossRefGoogle ScholarPubMed

Serpell, R. (2000). Intelligence and culture. In Sternberg, R. J. (Ed.), Handbook of intelligence (pp. 549577). New York: Cambridge University Press.CrossRefGoogle Scholar

Shinn, M. R., & Baker, S. K. (1996). The use of curriculum-based measurement with diverse learners. In Suzuki, L. A., Meller, P. J., & Ponterotto, J. G. (Eds.), Handbook of multicultural assessment: Clinical, psychological, and educational applications (pp. 179222). San Francisco: Jossey-Bass.Google Scholar

Short, E. L., Suzuki, L., Prendes-Lintel, M., Prendes-Lintel Furr, G., Madashushi, S., & Mapel, G. (2010). Counseling immigrants and refugees. In Ponterotto, J., Casas, M., Suzuki, L., & Alexander, C. (Eds.), The handbook of multicultural counseling (3rd ed., pp. 201211). Thousand Oaks, CA: Sage.Google Scholar

Shuttleworth-Edwards, A. B. (2016). Generally representative is representative of none: Commentary on the pitfalls of IQ test standardization in multicultural settings. Clinical Neuropsychologist, 30(7), 975998.CrossRefGoogle ScholarPubMed

Smith, L. (2010). Psychology, poverty, and the end of social exclusion. New York: Teachers College Press.Google Scholar

Snyderman, M., & Rothman, S. (1988). The IQ controversy: The media and public policy. New Brunswick, NJ: Transaction Books.Google Scholar

Sotelo-Dynega, M., Ortiz, S. O., Flanagan, D. P., & Chaplin, W. F. (2013). English language proficiency and test performance: An evaluation of bilingual students with the Woodcock-Johnson III tests of cognitive abilities. Psychology in the Schools, 50(8), 781797.CrossRefGoogle Scholar

Spearman, C. (1927). The abilities of man. New York: Macmillan.Google Scholar

Spencer, S. J., Steele, C. M., & Quinn, D. M. (1999). Stereotype threat and women’s math performance. Journal of Experimental Social Psychology, 35, 428.CrossRefGoogle Scholar

Steele, C. M. (1998). Stereotyping and its threat are real. American Psychologist, 53, 680681.CrossRefGoogle Scholar

Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69(5), 787811.CrossRefGoogle ScholarPubMed

Steele, C. M., & Aronson, J. (2004). Stereotype threat does not live by Steele and Aronson alone. American Psychologist, 59(1), 4748.CrossRefGoogle Scholar

Sternberg, R. J. (1996). Successful intelligence: How practical and creative intelligences determine success in life. New York: Simon & Schuster.Google Scholar

Sternberg, R. J. (2004). APA presidential address: Culture and intelligence. American Psychologist, 59(5), 325338.CrossRefGoogle Scholar

Styck, K. M., & Watkins, M. W. (2013). Diagnostic utility of the Culture Language Interpretive Matrix for the Wechsler Intelligence Scale for Children – Fourth Edition among referred students. School Psychology Review, 42(4), 367382.Google Scholar

Sue, D. W., & Sue, D. (2016). Counseling the culturally diverse: Theory and practice. Hoboken, NJ: John Wiley & Sons.Google Scholar

Suzuki, L. A., & Aronson, J. (2005). The cultural malleability of intelligence and its impact on the racial/ethnic hierarchy. Psychology, Public Policy, and Law, 11(2), 320327.CrossRefGoogle Scholar

Suzuki, L. A., Jordan, T., Vraniak, D., Short, E. L., Aguiar, L., & Mogami, T. (2003). Meta-analysis of Wechsler studies conducted on American Indian cognitive abilities. Poster session II presented at the 111th American Psychological Association Convention, Toronto, Canada, August.

Suzuki, L. A., Mogami, T., & Kim, E. S. (2002). Interpreting cultural variations in cognitive profiles. In Kurasaki, K., Okazaki, S., & Sue, S. (Eds.), Asian American mental health: Assessment, theory, and methods (pp. 159172). New York: Plenum Publishers.CrossRefGoogle Scholar

te Nijenhuis, J., van den Hoek, M., & Armstrong, E. L. (2015). Spearman’s hypothesis and Amerindians: A meta-analysis. Intelligence, 50, 8792.CrossRefGoogle Scholar

Trimble, J. E. (2010). Cultural measurement equivalence. In Clauss-Ehlers, C. S. (Ed.), Encyclopedia of cross-cultural school psychology (pp. 316318). New York: Springer.CrossRefGoogle Scholar

Uba, L. (1994). Asian Americans: Personality patterns, identity, and mental health. New York: Guilford Press.Google Scholar

Valencia, R. R., & Suzuki, L. A. (2001). Intelligence testing and minority students: Foundations, performance factors, and assessment issues. Thousand Oaks, CA: Sage.Google Scholar

Valencia, R. R., Suzuki, L. A., & Salinas, M. F. (2001). Test bias. In Valencia, R. R. & Suzuki, L. A. (Eds.), Intelligence testing and minority students: Foundations, performance factors, and assessment issues (pp. 111150). Thousand Oaks, CA: Sage.Google Scholar

van Someren, M. W., Barnard, Y. F., & Sandberg, J. A. C. (1994). The Think Aloud Method: A practical guide to modeling cognitive processes (Knowledge-based systems). London: Academic Press.Google Scholar

Wall Street Journal (1994) Mainstream science on intelligence. December 13, p. A18.

Weiss, L. G., Harris, J. G., Prifitera, A., Courville, T., Rolthus, E., Saklofske, D. H., et al. (2006) WISC-IV interpretation in a societal context. In Weiss, L. G., Saklofske, D. H., Prifitera, A., & Holdnack, J. A. (Eds.), Wechsler Intelligence Scale for Children – IV: Advanced clinical interpretation (pp. 156). San Diego, CA: Academic Press.Google Scholar

Weiss, L. G., Munoz, M. R., & Prifitera, A. (2015). Testing Hispanics with WISC-V and WISC-IV Spanish. In Weiss, L. G., Saklofske, D. H., Holdnack, J. A., & Prifitera, A. (Eds.), WISC-V assessment and interpretation: Scientist practitioner perspectives (pp. 215236). Cambridge, MA: Academic Press.Google Scholar

Whaley, A. L. (1998). Issues of validity in empirical tests of stereotype threat theory. American Psychologist, 53, 679680.CrossRefGoogle Scholar

Whitaker, S. (2015). How accurate are modern IQ tests at categorizing people as having intellectual disability or not? Clinical Psychology Forum, 270, 4953.Google Scholar

Which of the following observations provides the best evidence that intelligence test scores?

Which of the following observations provides the BEST evidence that intelligence test scores are influenced by heredity? Identical twins reared separately are more similar in their intelligence scores than fraternal twins raised together.

Which of the following is a criticism of IQ tests?

IQ tests are also criticized because the results are often used to label some students as slow learners. Finally, IQ tests do not offer information on motivation, emotion, attitudes, and other similar factors that may have a strong bearing on a person's success in school and in life.

Why does the predictive validity of general aptitude tests decrease as the educational experience of the students who take them increases?

Why does the predictive validity of general aptitude tests decrease as the educational experience of the students who take them increases? a. More educated students have taken aptitude tests so frequently that for them such tests are no longer pure measures of aptitude.

On which of the following tasks are males most likely to outperform females?

On which of the following tasks are males most likely to outperform females? mentally rotating three-dimensional objects.