Propriedades psicométricas da forma geral das Matrizes Progressivas de Raven numa amostra portuguesa

Autores

  • Inês Queiroz-Garcia Instituto Universitário (ISPA), William James Center for Research, Portugal https://orcid.org/0000-0001-7842-5285
  • Helena Espirito Santo Instituto Superior Miguel Torga, Coimbra; Universidade de Coimbra, Faculdade de Psicologia e Ciências da Educação; Centre for Research in Neuropsychology and Cognitive and Behavioural Intervention (CINEICC), Portugal https://orcid.org/0000-0003-2625-3754
  • Catarina Pires Independente, Aveiro, Portugal

DOI:

https://doi.org/10.31211/rpics.2021.7.1.210

Palavras-chave:

Forma Geral das Matrizes Progressivas de Raven, Inteligência, População portuguesa, Teste neuropsicológico, Estudo psicométrico

Resumo

Objetivo: Foram investigadas as propriedades psicométricas da Forma Geral das Matrizes Progressivas de Raven numa amostra da comunidade portuguesa. Métodos: Participaram 522 pessoas (250 homens e 272 mulheres), com idades compreendidas entre os 12 e os 95 anos. Todos os participantes preencheram um formulário de consentimento informado e uma bateria de testes neuropsicológicos, incluindo o teste da Forma Geral das Matrizes Progressivas de Raven (FGMPR), Teste de Memória de 15-Item de Rey, Escala de Ansiedade Zung Self-Rating e Teste de Figura Complexa de Rey. Resultados: A média na FGMPR foi de 41,18 (DP = 12,03). Os resultados mostraram que todas as variáveis sociodemográficas (idade, sexo, educação, profissão, regiões e local de residência) influenciaram significativamente os resultados da FGMPR. A fiabilidade e estabilidade temporal da FGMPR foram adequadas. Conclusão: Este estudo sugere que a FGMPR é um instrumento com potencial para ser utilizado na população portuguesa.

Downloads

Não há dados estatísticos.

Referências

Abdel-Khalek, A. M. (1988). Egyptian results on the Standard Progressive Matrices. Personality and Individual Differences, 9(1), 193–195. https://doi.org/dfxbpd

Al-Shahomee, A. A. (2012). A standardisation of the Standard Progressive Matrices for adults in Libya. Personality and Individual Differences, 53(2), 142–146. https://doi.org/gftztx

Alarcón Paz, C., Díaz Valenzuela, V., Hernández Rosales, J., & Estrada Goic, C. (2012). Estudio sobre la pertinencia del uso de las normas disponibles del Raven en adultos mayores chilenos [Study on the relevance of using available norms Raven in Chileans older adults]. Psico-USF, 17(3), 387–395. https://doi.org/d22m

Almeida, L. S., Lemos, G., & Lynn, R. (2011). Regional Differences in Intelligence and per capita Incomes in Portugal. Mankind Quarterly, 52(2). https://doi.org/gf2x

Bilker, W. B., Hansen, J. A., Brensinger, C. M., Richard, J., Gur, R. E., & Gur, R. C. (2012). Development of abbreviated nine-item forms of the Raven's Standard Progressive Matrices Test. Assessment, 19(3), 354–369. https://doi.org/f34ssx

Bonett, D. G. (2002). Sample size requirements for testing and estimating coefficient alpha. Journal of Educational and Behavioral Statistics, 27(4), 335–340. https://doi.org/fvc52t

Boone, K. B., Salazar, X., Lu, P., Warner-Chacon, K., & Razani, J. (2002). The Rey 15-Item recognition trial: A technique to enhance sensitivity of the Rey 15-Item memorization test. Journal of Clinical and Experimental Neuropsychology (Neuropsychology, Development and Cognition: Section A), 24(5), 561–573. https://doi.org/cdx69d

Brouwers, S. A., Van de Vijver, F. J. R., & Van Hemert, D. A. (2009). Variation in Raven’s Progressive Matrices scores across time and place. Learning and Individual Differences, 19(3), 330–338. https://doi.org/fwqjfd

Burke, H. R. (2010). Raven's Progressive Matrices: Validity, reliability, and norms. The Journal of Psychology, 82(2), 253–257. https://doi.org/chrknh

Cairo Martínez, E., Bouza, C., Solozabal, T. P., & Cairo Valcárcel, E. (2000). Algunas caracteristicas y posibilidades del Test de Matrices Progresivas de Raven. Revista Cubana de Psicologia, 17(2), 95–105. https://bit.ly/3mNBan7

Carpenter, P. A., Just, M. A., & Shell, P. (1990). What one intelligence test measures: A theoretical account of the processing in the Raven Progressive Matrices Test. Psychological Review, 97(3), 404–431. https://doi.org/fq7wtd

Carter, P. (2005). The complete book of intelligence tests: 500 exercises to improve, upgrade and enhance your mind strength. John Wiley and Sons Ltd.

Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54(1), 1–22. https://doi.org/fs6ptd

Chang, A. (2014). StatsToDo [Online calculator]. Brisbane, Queensland, Austrália. https://bit.ly/3tl76S5

Chiesi, F., Ciancaleoni, M., Galli, S., & Primi, C. (2012). Using the Advanced Progressive Matrices (Set I) to assess fluid ability in a short time frame: An item response theory–based analysis. Psychological Assessment, 24(4), 892–900. https://doi.org/f4h27q

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Colom, R., & Garcı́a-López, O. (2002). Sex differences in fluid intelligence among high school graduates. Personality and Individual Differences, 32(3), 445–451. https://doi.org/bzxjwp

Court, J. H. (1983). Sex differences in performance on Raven's Progressive Matrices: A review. Alberta Journal of Educational Research, 29, 54-74.

Dubois, B., Slachevsky, A., Litvan, I., & Pillon, B. (2000). A Frontal Assessment Battery at bedside. Neurology, 55(11), 1621–1626. https://doi.org/gd593r

Dutton, E., Bakhiet, S. F. A., Madison, G., Essa, Y. A. S., & Rajeh, M. Y. M. (2018). Sex differences on Raven’s Standard Progressive Matrices within Saudi Arabia and across the Arab world: Females’ advantage decreases from childhood to adolescence. Personality and Individual Differences, 134, 66–70. https://doi.org/gd7sm2

Espírito-Santo, H., Pires, C. F., Garcia, I. Q., Daniel, F., Silva, A. G. da, & Fazio, R. L. (2017). Preliminary validation of the Portuguese Edinburgh Handedness Inventory in an adult sample. Applied Neuropsychology: Adult, 24(3), 275–287. https://doi.org/ggqd8r

Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007a). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/bxjdcg

Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007b). G*Power 3 (Version 3.1.9.2 for Mac OS X) [Computer Program]. Heinrich-Heine-Universität Dusseldorf. http://www.gpower.hhu.de/en.html

Garcia, I., Pessoa, I., Monteiro, B., Daniel, F., Lemos, L., & Espirito Santo, H. (2016). Propriedades psicométricas da versão Torga do Teste Stroop [Psychometric properties of Torga version of the Stroop Test]. Revista Portuguesa de Investigação Comportamental e Social, 2(2), 55–64. https://doi.org/gds5

Golan, D., Wilken, J., Doniger, G. M., Fratto, T., Kane, R., Srinivasan, J., Zarif, M., Bumstead, B., Buhse, M., Fafard, L., Topalli, I., & Gudesblatt, M. (2019). Validity of a multi-domain computerized cognitive assessment battery for patients with multiple sclerosis. Multiple Sclerosis and Related Disorders, 30, 154–162. https://doi.org/gf2z

Griffin, G. A. E., Glassmire, D. M., Henderson, E. A., & McCann, C. (1997). Rey II: Redesigning the Rey screening test of malingering. Journal of Clinical Psychology, 53(7), 757–766. https://doi.org/cn88v3

Irrgang, M., Dorenkamp, M., Reohr, P., & Vik, P. (2019). C-28 Raven’s Progressive Matrices: Validation of a short form. Archives of Clinical Neuropsychology, 34(6), 1057–1057. https://doi.org/f6tr

Irvine, S. H., & Berry, J. W. (Eds.). (1988). Human abilities in cultural context. Cambridge University Press. https://doi.org/cpjx8v

Jensen, A. R. (1980). Bias in mental testing. Free Press.

Jensen, A. R. (1987). Differential psychology: Towards consensus. In S. Modgil & C. Modgil (Eds.), Arthur Jensen: Consensus and controversy (pp. 413-467). The Falmer Press.

Jensen, A. R. (1998). The g factor: The science of mental ability. Praeger.

Kaplan, R. M., & Saccuzzo, D. P. (2012). Psychological testing: Principles, applications, and issues (8th ed.). Wadsworth, Cengage Learning.

Karnes, F. A., Lee, L. A., & May, B. (1982). Correlations among scores on the 1966, 1973 and 1979 norms of Raven's Standard Progressive Matrices for economically disadvantaged students. Perceptual and Motor Skills, 55(3), 793–794. https://doi.org/dhvnrn

Kaya, F., Stough, L. M., & Juntune, J. (2017). Verbal and nonverbal intelligence scores within the context of poverty. Gifted Education International, 33(3), 257–272. https://doi.org/f6ts

Kim, H.-Y. (2013). Statistical notes for clinical researchers: assessing normal distribution (2) using skewness and kurtosis. Restorative Dentistry e Endodontics, 38(1), 52–54. https://doi.org/gf8gxh

Kush, J. C. (1996). Fild-dependence, cognitive ability, and academic achievement in Anglo American and Mexican American students. Journal of Cross-Cultural Psychology, 27(5), 561–575. https://doi.org/crgwbg

Lovett, A., Forbus, K., & Usher, J. (2007). Analogy with qualitative spatial representations can simulate solving Raven's Progressive Matrices. In D. S. McNamara & J. C. Trafton (Eds), Proceedings of the 29th Annual Conference of the Cognitive Science Society (pp. 449–454). Cognitive Science Society.

Lynn, R., & Irwing, P. (2004). Sex differences on the progressive matrices: A meta-analysis. Intelligence, 32(5), 481–498. https://doi.org/b3mtjt

Mackintosh, N. J., & Bennett, E. S. (2005). What do Raven's Matrices measure? An analysis in terms of sex differences. Intelligence, 33(6), 663–674. https://doi.org/dvhwtx

Moran, A. P. (1986). The reliability and validity of Raven's Standard Progressive Matrices for Irish apprentices. Applied Psychology, 35(4), 533–538. https://doi.org/dc9mvh

Murphy, K. R., & Davidshofer, C. O. (2004). Psychological testing: Principles and applications (6th ed). Prentice-Hall.

Orme, J. E. (1966). Hypothetically true norms for the Progressive Matrices Tests. Human Development, 9(4), 222–229. https://doi.org/c3qtvf

Pallant, J. (2016). SPSS survival manual: A step by step guide to data analysis using IBM SPSS (6th ed.). McGraw Hill Education.

Pind, J., Gunnarsdóttir, E. K., & Jóhannesson, H. S. (2003). Raven's Standard Progressive Matrices: new school age norms and a study of the tests validity. Personality and Individual Differences, 34(3), 375–386. https://doi.org/b9m7sq

PORDATA. (2015). Poder de compra per capita nos Municípios [Per capita purchasing power in the municipalities]. https://bit.ly/3sldvvo

Powers, S., & Barkan, J. H. (1986). Concurrent validity of the Standard Progressive Matrices for Hispanic and non-Hispanic and seventh-grade students. Psychology in the Schools, 23(4), 333–336. https://doi.org/drkgx2

Raven, J. C. (1941). Standardization of Progressive Matrices, 1938. British Journal of Medical Psychology, 19(1), 137–150. https://doi.org/dv6vk8

Raven, J., & Raven, J. (2003). Raven Progressive Matrices. In R. S. McCallum (Ed.), Executive Functioning and Intelligence (pp. 223–236). Springer US. https://doi.org/dcw6pd

Raven, J., Raven, J. C., & Court, J. H. (2000). Manual for Raven's Standard Progressive Matrices and Vocabulary Scales. Section 3: Progressive Standard Matrices. Harcourt Assessment.

Rey, A. (2002). Rey: Teste de cópia de figuras complexas (2nd ed.) [Rey: Copy complex figures test]. CEGOC-TEA.

Reznek, L. (2005). The Rey 15-item memory test for malingering: A meta-analysis. Brain Injury, 19(7), 539–543. https://doi.org/dhht39

Rushton, J. P., Skuy, M., & Bons, T. A. (2004). Construct validity of Raven's Advanced Progressive Matrices for African and non-African engineering students in South Africa. International Journal of Selection and Assessment, 12(3), 220–229. https://doi.org/dcfdt2

Savage-McGlynn, E. (2012). Sex differences in intelligence in younger and older participants of the Raven's Standard Progressive Matrices Plus. Personality and Individual Differences, 53(2), 137–141. https://doi.org/d7hrcr

Serra, A. V., Ponciano, E., & Relvas, J. (1982). Aferição da escala de autoavaliação de ansiedade, de Zung, numa amostra de população portuguesa - II. - Sua avaliação como instrumento de medida [Self-evaluation Scale measurement of anxiety of Zung, a sample of the Portuguese population - II. — Its evaluation as an instrument of measurement]. Psiquiatria Clínica, 3(4), 203–213.

Shulman, K. I., Shedletsky, R., & Silver, I. L. (1986). The challenge of time: Clock-drawing and cognitive function in the elderly. International Journal of Geriatric Psychiatry, 1(2), 135–140. https://doi.org/b7vf79

Simões, M. M. R. (2000). Investigações no âmbito da aferição nacional do Teste das Matrizes Progressivas Coloridas de Raven (M.P.C.R) [Investigations under the national measurement test of Raven Coloured Progressive Matrices (RCPM)]. Fundação Calouste Gulbenkian.

Simões, M., Sousa, L., Duarte, P., Firmino, H., Pinho, M. S., Gaspar, N., Pires, L., Batista, P., Silva, A. R., Silva, S., Ferreira, A. R., & França, S. (2010). Avaliação da simulação ou esforço insuficiente com o Rey 15-Item Memory Test (15-IMT): Estudos de validação em grupos de adultos idosos [Evaluation of simulation or insufficient effort with Rey 15-Item Memory Test (15-IMT): Validation studies on groups of older adults]. Análise Psicológica, 28(1), 209–226. https://doi.org/gf22

Slick, D. J., Tan, J. E., Strauss, E. H., & Hultsch, D. F. (2004). Detecting malingering: A survey of experts' practices. Archives of Clinical Neuropsychology, 19(4), 465–473. https://doi.org/bx3kxr

Statistics Portugal. (2014). Demographic statistics 2011. INE.

Stroop, J. R. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology, 18(6), 643–662. https://doi.org/b77m95

Williams, J. E., & McCord, D. M. (2006). Equivalence of standard and computerized versions of the Raven Progressive Matrices Test. Computers in Human Behavior, 22(5), 791–800. https://doi.org/b84zt7

Publicado

31-05-2021

Como Citar

Queiroz-Garcia, I., Espirito Santo, H., & Pires, C. (2021). Propriedades psicométricas da forma geral das Matrizes Progressivas de Raven numa amostra portuguesa. Revista Portuguesa De Investigação Comportamental E Social, 7(1), 84–101. https://doi.org/10.31211/rpics.2021.7.1.210

Edição

Secção

Artigo Original