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13-10-2016 | Original Paper | Uitgave 7/2019

Development and Psychometric Evaluation of the Hansen Research Services Matrix Adaptive Test: A Measure of Nonverbal IQ

Tijdschrift:: Journal of Autism and Developmental Disorders > Uitgave 7/2019

Auteur:: John A. Hansen

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Abstract

Assessment of individuals on the autism spectrum often includes a measure of nonverbal IQ. One such measure is the Raven’s Standard Progressive Matrices (RSPM). For large research studies with participants distributed nationally it is desirable for assessments to be available online. Because time is a premium, it is ideal that the measure produces accurate scores quickly. The Hansen Research Services Matrix Adaptive Test (HRS-MAT) addresses these needs and with similar psychometric properties of the RSPM. Scores based on the HRS-MAT correlated at r = .81 with those of the RSPM. In adult-child pairs, HRS-MAT scores correlated at approximately r = .50. Details from respondents in a national sample and psychometric properties including reliability and validity are discussed.

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Meer informatie

Anderson, D. K., Liang, J. W., & Lord, C. (2014). Predicting young adult outcome among more and less cognitively able individuals with autism spectrum disorders. Journal of Child Psychology and Psychiatry, 55(5), 485–494. doi: 10.1111/jcpp.12178. CrossRefPubMed

Baddeley, A. (1992). Working memory. Science, 255, 556–559. doi: 10.1126/science.1736359. CrossRefPubMed

Baddeley, A. (1995). Working memory. In M. S. Gazzaniga (Ed.), The cognitive neurosciences (pp. 755–764). Cambridge, MA: MIT Press.

Baker, F. B. (1985). The basics of item response theory. Portsmouth, NH: Heinemann.

Betz, N. E., & Weiss, D. J. (1976). Psychological effect of immediate knowledge of results and adaptive ability testing (Research Rep. 76-4). Minneapolis: University of Minnesota. Department of Psychology, Psychometric Methods Program.

Billstedt, E., Gillberg, C., & Gillberg, C. (2005). Autism after adolescence: Population-based 13- to 22-year follow-up study of 120 individuals with autism diagnosed in childhood. Journal of Autism and Developmental Disorders, 35(3), 351–360. doi: 10.1007/s10803-005-3302-5. CrossRefPubMed

Bock, R. D. (2003). In M. F. Zimowski, E. Muraki & R. J. Mislevy, & Bock, R. D. (Eds.), BILOG-MG: Multiplegroup IRT analysis and test maintenance for binary items (Chap. 9, p. 622). Chicago: Scientific Software International.

Bölte, S., Dziobek, I., & Poustka, F. (2009). Brief report: The level and nature of autistic intelligence revisited. Journal of Autism and Developmental Disorders, 39(4), 678–682. doi: 10.1007/s10803-008-0667-2. CrossRefPubMed

Brown, F. (1976). Principles of educational and psychological testing (2nd ed.). New York: Holt, Rinehart and Winston.

Brown, L., Sherbenou, R. J. & Johnsen, S. K. (2010) Test of nonverbal intelligence (4th ed.). Austin, TX: PRO–ED.

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. doi: 10.1037/0033-295X.97.3.404. CrossRefPubMed

Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54(1), 1–22. doi: 10.1037/h0046743. CrossRef

Comrey, A. L., & Lee, H. B. (1992). A first course in factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.

Dawson, G., Estes, A., Munson, J., Schellenberg, G., Bernier, R., & Abbott, R. (2007). Quantitative assessment of autism symptom-related traits in probands and parents: Broader phenotype autism symptom scale. Journal of Autism and Developmental Disorders, 37(3), 523–536. doi: 10.1007/s10803-006-0182-2. CrossRefPubMed

De Ayala, R. (2009). The Theory and Practice of Item Response Theory. New York: The Guilford Press.

Deshon, R. P., Chan, D., & Weissbein, D. A. (1995). Verbal overshadowing effects on Raven’s Advanced Progressive Matrices: Evidence for multidimensional performance determinants. Intelligence, 21(2), 135–155. doi: 10.1016/0160-2896(95)90023-3. CrossRef

Devlin, B., Daniels, M., & Roeder, K. (1997). The heritability of IQ. Nature. doi: 10.1038/4131. CrossRefPubMed

duToit, M. (Ed.). (2003). IRT from SSI, Bilog-MG, multilog, parscale, testfact. Lincolnwood, IL: Scientific Software International.

Elliott, C. D. (2007). Differential ability scales—second edition (DAS-II). San Antonio, TX: Harcourt.

Fischbach, G. D., & Lord, C. (2010). The Simons simplex collection: A resource for identification of autism genetic risk factors. Neuron, 68(2), 192–195. doi: 10.1016/j.neuron.2010.10.006. CrossRefPubMed

Hambleton, R. K., Swaminathan, J., & Rogers, H. J. (1991). Fundamentals of item response theory. California: Sage.

Harris, S. L., & Handleman, J. S. (2000). Age and IQ at intake as predictors of placement for young children with autism: A four-to six-year follow-up. Journal of Autism and Developmental Disorders, 30(2), 137–142. doi: 10.1023/A:1005459606120. CrossRefPubMed

Howlin, P., Goode, S., Hutton, J., & Rutter, M. (2004). Adult outcome for children with autism. Journal of Child Psychology and Psychiatry, 45(2), 212–229. doi: 10.1111/j.1469-7610.2004.00215.x. CrossRefPubMed

Jacobs, P. I., & Vandeventer, M. (1972). Evaluating the teaching of intelligence. Educational and Psychological Measurement, 32, 235–248. doi: 10.1177/001316447203200201. CrossRef

Jensen, A. R. (1987). The g beyond factor analysis. In R. R. Ronning, J. A. Glover, J. C. Conoley, & J. C. Witt (Eds.), The influence of cognitive psychology on testing (pp. 87–142). Hillsdale, NJ: Erlbaum.

Kaufman, A. S., & Kaufman, N. L. (2004) Kaufman Brief Intelligence Test (2nd ed.). Bloominton, MN: Pearson, Inc.

Lord, F. M. (1980). Application of item response theory to practical testing problems. Hillsdale, NJ: Erlbaum.

Marshalek, B., Lohman, D. F., & Snow, R. E. (1983). The complexity continuum in the radix and hierarchical models of intelligence. Intelligence, 7(2), 107–127. doi: 10.1016/0160-2896(83)90023-5. CrossRef

McKinley, R. L., & Reckase, M. D. (1980). Computer applications to ability testing. Association for Educational Data Systems Journal, 13, 193–203. doi: 10.1080/00011037.1980.11008273. CrossRef

McKinley, R. L., & Reckase, M. D. (1984). Implementing an adaptive testing program in an instructional program environment. Paper presented at the annual meeting of the AERA, New Orleans.

Mehrens, W., & Lehmann, I. (1984). Measurement and evaluation (3rd ed.). New York: CBS College Publishing.

Mulholland, T. M., Pellegrino, J. W., & Glaser, R. (1980). Components of geometric analogy solution. Cognitive Psychology, 12, 252–284. doi: 10.1016/0010-0285(80)90011-0. CrossRefPubMed

Nunnally, J. (1978). Psychometric Theory (2nd ed.). New York: McGraw-Hill.

Olsen, J. B., Maynes, D. D., Slawson, D., & Ho, K. (1986, April). Comparison and equating of paper-administered, computer-administered and computerized adaptive tests of achievement. Paper presented at the annual meeting of the AERA, San Francisco.

Otis, A. S., & Lennon, R. T. (1982). Otis-Lennon school ability test. San Antonio, TX: Harcourt Brace.

Plomin, R., DeFries, J., McClearn, G., & McGuffin, P. (2001). Behavioral genetics (4th ed.). New York: Worth Publishers.

Raven, J., Raven, J. C., & Court, J. H. (2000). Standard Progressive Matrices. Psychology Press.

Raven, J., Raven, J. C., & Court, J. H. (2003). Manual sect. 1. General overview (1998 edition, updated 2003). San Antonio, TX: Pearson Assessment.

Roid, G. H. (2003). Stanford-Binet intelligence scales (5th ed.). Itasca, IL: Riverside.

Smith, L., & Reise, S. (1998). Gender differences on negative affectivity: An IRT study on differential item functioning on the multidimensional personality questionnaire stress reaction scale. Journal of Personality and Social Psychology, 75(5), 1350–1362. doi: 10.1037/0022-3514.75.5.1350. CrossRefPubMed

Smith, T. (1999). Outcome of early intervention for children with autism. Clinical Psychology: Science and Practice, 6(1), 33–49. doi: 10.1093/clipsy.6.1.33. CrossRef

Snow, R. E., Kyllonen, P. C., & Marshalek, B. (1984). The topography of ability and learning correlations. In R. J. Sternberg (Ed.), Advances in the psychology of human intelligence (Vol. 2, pp. 47–103). Hillsdale, NJ: Erlbaum.

Spiker, D., Lotspeich, L. J., Dimiceli, S., Myers, R. M., & Risch, N. (2002). Behavioral phenotypic variation in autism multiplex families: Evidence for a continuous severity gradient. American Journal of Medical Genetics, 114(2), 129–136. doi: 10.1002/ajmg.10188. CrossRefPubMed

Thissen, D., & Wainer, H. (2001). Test scoring. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc., Publishers.

Wanger, T. A., & Harvey, R. J. (2006). Development of a new critical thinking test using item response theory. Psychological Assessment, 18(1), 100–105. doi: 10.1037/1040-3590.18.1.100. CrossRef

Wechsler, D. (2003). Wechsler intelligence scale for children-fourth edition. San Antonio, TX: Psychological Corporation.

Weiss, D. J. (1983). New horizons in testing: Latent trait test theory and computerized adaptive testing. New York: Academic.

Weiss, D. J. (1985). Final report: Computerized adaptive measurement of achievement and ability (Project NR150-433, N00014-79-C0172). Minneapolis: University of Minnesota.

Weiss, D. J., & Kingsbury, G. G. (1984). Application of computerized adaptive testing to educational problems. Journal of Educational Measurement, 21(4), 361–375. doi: 10.1111/j.1745-3984.1984.tb01040.x. CrossRef

Titel: Development and Psychometric Evaluation of the Hansen Research Services Matrix Adaptive Test: A Measure of Nonverbal IQ
Auteur:: John A. Hansen
Publicatiedatum: 13-10-2016
DOI: https://doi.org/10.1007/s10803-016-2932-0
Uitgeverij: Springer US
Tijdschrift: Journal of Autism and Developmental Disorders
Uitgave 7/2019
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432

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Development and Psychometric Evaluation of the Hansen Research Services Matrix Adaptive Test: A Measure of Nonverbal IQ

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