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Choices, challenges, and constraints: a pragmatic examination of the limits of mental age matching in empirical research

Published online by Cambridge University Press:  06 May 2021

N. Russo Open the ORCID record for N. Russo [Opens in a new window] ,
E. A. Kaplan-Kahn Open the ORCID record for E. A. Kaplan-Kahn [Opens in a new window] ,
J. Wilson ,
A. Criss  and
J. A. Burack
N. Russo*
Affiliation:
Department of Psychology, Syracuse University, Syracuse, NY, USA
E. A. Kaplan-Kahn
Affiliation:
Department of Psychology, Syracuse University, Syracuse, NY, USA
J. Wilson
Affiliation:
Department of Psychology, Syracuse University, Syracuse, NY, USA
A. Criss
Affiliation:
Department of Psychology, Syracuse University, Syracuse, NY, USA
J. A. Burack
Affiliation:
Department of Educational and Counselling Psychology, McGill University, Montreal, Quebec, Canada
*
Author for Correspondence: Natalie Russo, Associate Professor, Department of Psychology, Syracuse University, 430 Huntington Hall, Syracuse, NY, 13244; E-mail: nrusso@syr.edu
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Abstract

The work of Ed Zigler spans decades of research all singularly dedicated to using science to improve the lives of children facing different challenges. The focus of this article is on one of Zigler's numerous lines of work: advocating for the practice of mental age (MA) matching in empirical research, wherein groups of individuals are matched on the basis of developmental level, rather than chronological age. While MA matching practices represented a paradigm shift that provided the seeds from which the developmental approach to developmental disability sprouted, it is not without its own limits. Here, we examine and test the underlying assumption of linearity inherent in MA matching using three commonly used IQ measures. Results provide practical constraints of using MA matching, a solution which we hope refines future clinical and empirical practices, furthering Zigler's legacy of continued commitment to compassionate, meaningful, and rigorous science in the service of children.

Keywords

developmental approachintellectual disabilityIQmental age matching
Type
Special Issue Article
Information
Development and Psychopathology , Volume 33 , Special Issue 2: Honoring the Legacy of Ed Zigler's Lifetime Contributions to Science, Society, and Child Wellbeing , May 2021 , pp. 727 - 738
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Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

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References

Abbeduto, L., Thurman, A. J., Bullard, L., Nelson, S., & McDuffie, A. (2019). Genetic syndromes associated with intellectual disabilities. In Armstrong, C, & Morrow, L (Eds.), Handbook of medical neuropsychology (pp. 263–299). Cham: Springer.CrossRefGoogle Scholar
Bellugi, U., Bihrle, A., Jernigan, T., Trauner, D., & Doherty, S. (1990). Neuropsychological, neurological, and neuroanatomical profile of Williams syndrome. American Journal of Medical Genetics, 125(Suppl. 6), 115–125. doi:10.1002/ajmg.1320370621Google Scholar
Bennett-Gates, D., & Zigler, E. (1998). Resolving the developmental-difference debate: An evaluation of the triarchic and systems theory models. In Burack, J.A., Hodapp, R. M., & Zigler, E. (Eds.), Handbook of mental retardation and development (pp. 115–131). Cambridge, UK: Cambridge University Press.Google Scholar
Biggs, J. B., & Collis, K. F. (1982). Evaluating the quality of learning: The SOLO taxonomy (Structure of the observed learning outcome). New York: Academic Press.Google Scholar
Binet, A. (1911). New investigations upon the measure of the intellectual level among school children. In Goddard, H. H. (Ed.), Development of intelligence in children (the Binet-Simon Scale) (pp. 274–328). Baltimore: Williams & Wilkins.Google Scholar
Boake, C. (2002). From the Binet-Simon to the Wechsler-Bellevue: Tracing the history of intelligence testing. Journal of Clinical and Experimental Neuropsychology, 24, 383–405. doi:10.1076/jcen.24.3.383.981CrossRefGoogle Scholar
Burack, J. A. (1997). The study of atypical and typical populations in developmental psychopathology: The quest for a common science. In Luthar, S. S., Burack, J. A., Cicchetti, D. & Weisz, J. R. (Eds.), Developmental psychopathology: Perspectives on adjustment, risk and disorder (pp. 139–165). New York, NY: Cambridge University Press.Google Scholar
Burack, J. A. (2004). Editorial preface. Journal of Autism and Developmental Disorders, 34, 3–5.CrossRefGoogle Scholar
Burack, J. A., Cohene, K., & Flores, H. (2011). Developmental models as frameworks for early intervention with children with Down syndrome. In Rondal, J.-A., Perera, J., & Spiker, D. (Eds.), Biocognitive rehabilitation of Down syndrome: The early years (pp. 142–152). New York: Cambridge University Press. doi: 10.12970/2310-8231.2014.02.03.5.CrossRefGoogle Scholar
Burack, J. A., Dawkins, T., Stewart, J., Iarocci, G., & Russo, N. (2012a). The mysterious myth of attention deficit…” revisited: A discussion of how the developmental approach is transforming the understanding of intellectual disability. International Review of Research in Developmental Disabilities, 42, 147–177.CrossRefGoogle Scholar
Burack, J. A., Evans, D. W., Klaiman, C., & Iarocci, G. (2001). The mysterious myth of attention deficits and other defect stories: Contemporary issues in the developmental approach to mental retardation. International Review of Research in Mental Retardation, 24, 299–320. doi:10.1016/s0074-7750(01)80012-4CrossRefGoogle Scholar
Burack, J. A., Iarocci, G., Bowler, D., & Mottron, L. (2002). Benefits and pitfalls in the merging of disciplines: The example of developmental psychopathology and the study of persons with autism. Development and Psychopathology, 14, 225–237. doi:10.1017/S095457940200202XCrossRefGoogle Scholar
Burack, J. A., Iarocci, G., Flanagan, T. D., & Bowler, D. M. (2004). On mosaics and melting pots: Conceptual considerations of comparison and matching strategies. Journal of Autism and Developmental Disorders, 34, 65–73. doi:10.1023/B:JADD.0000018076.90715.00CrossRefGoogle ScholarPubMed
Burack, J. A., Russo, N., Flores, H., Iarocci, G., & Zigler, E. (2012b). The more you know the less you know, but that's OK: Developments in the developmental approach to intellectual disability. In Burack, J. A., Hodapp, R. M., Iarocci, G. & Zigler, E. (Eds.), The Oxford handbook of intellectual disability and development (pp. 1–15). New York: Oxford University Press. doi:10.1093/oxfordhb/9780195305012.013.0001Google Scholar
Burack, J. A., Russo, N. N., Gordon Green, C., Landry, O., & Iarocci, G. (2016b). Developments in the developmental approach to intellectual disability. In Cicchetti, D. (Ed.), Handbook on developmental psychopathology (3rd ed., pp. 1–55). New York: Wiley.Google Scholar
Burack, J. A., Russo, N., Kovshoff, H., Palma Fernandes, T., Ringo, J., Landry, O., & Iarocci, G. (2016a). How I attend – not how well do I attend: Rethinking developmental frameworks of attention and cognition in autism spectrum disorder and typical development. Journal of Cognition and Development, 17, 553–567. doi:10.1080/15248372.2016.1197226CrossRefGoogle Scholar
Campbell, C., Landry, O., Russo, N., Flores, H., Jacques, S., & Burack, J. A. (2013). Cognitive flexibility among individuals with Down syndrome: Assessing the influence of verbal and nonverbal abilities. American Journal on Intellectual and Developmental Disabilities, 118, 193–200. doi:10.1352/1944-7558-118.3.193CrossRefGoogle ScholarPubMed
Case, R. (1980). The underlying mechanism of intellectual development. In Kirby, J., & Biggs, J. B. (Eds.), Cogniton, development, and instruction (pp. 1–38). New York: Academic Press.Google Scholar
Chiurazzi, P., & Pirozzi, F. (2016). Advances in understanding - genetic basis of intellectual disability. F1000Research, 5, 1–16. doi:10.12688/f1000research.7134.1CrossRefGoogle ScholarPubMed
Cicchetti, D., & Beeghly, M. (Eds.). (1990). Children with Down syndrome: A developmental perspective. New York: Cambridge University Press.CrossRefGoogle Scholar
Cicchetti, D., & Ganiban, J. (1990). The organization and coherence of developmental processes in infants and children with Down syndrome. In Hodapp, R. M., Burack, J. A. & Zigler, E. (Eds.), Issues in the developmental approach to mental retardation mental retardation (pp. 169–225). New York: Cambridge University Press.CrossRefGoogle Scholar
Cicchetti, D., & Pogge-Hesse, P. (1982). Possible contributions of the study of organically retarded persons to developmental theory: The developmental-difference controversy. In Zigler, E., & Balla, D. A. (Eds.), Mental retardation: The developmental-difference controversy (pp. 277–318). New York: Lawrence Erlbaum Associates.Google Scholar
Flanagan, T., Russo, N., Flores, H., & Burack, J. A. (2008). The developmental approach to the study of down syndrome: Conteporary issues in historical perspective. Down Syndrome Research and Practice, Online, 96–100.Google Scholar
Hanaoka, T., Mita, K., Hiramoto, A., Suzuki, Y., Maruyama, S., Nakadate, T., … Egusa, Y. (2010). Survival prognosis of Japanese with severe motor and intellectual disabilities living in public and private institutions between 1961 and 2003. Journal of Epidemiology, 20, 77–81. doi:10.2188/jea.JE20090024CrossRefGoogle ScholarPubMed
Hodapp, R. M., Burack, J. A., & Zigler, E. (1990). The developmental perspective in the field of mental retardation. In Hodapp, R. M., Burack, J. A., & Zigler, E. (Eds.), Issues in the developmental approach to mental retardation (pp. 3–26). New York: Cambridge University Press.CrossRefGoogle Scholar
Hodapp, R. M., & Zigler, E. (1995). Past, present, and future issues in the developmental approach to mental retardation and developmental disabilities. Developmental Psychopathology, 2, 299–331.Google Scholar
Hoekstra, R. A., Bartels, M., & Boomsma, D. I. (2007). Longitudinal genetic study of verbal and nonverbal IQ from early childhood to young adulthood. Learning and Individual Differences, 17, 97–114. doi:10.1016/j.lindif.2007.05.005CrossRefGoogle Scholar
Iarocci, G., & Burack, J. A. (1998). Understanding the development of attention in persons with mental retardation: Challenging the myths. In J. A. Burack, R. M. Hodapp, & E. Zigler (Eds.) Handbook of mental retardation and development (pp. 349–381). New York: Cambridge University Press.Google Scholar
Iwase, S., Bérubé, N. G., Zhou, Z., Kasri, N. N., Battaglioli, E., Scandaglia, M., & Barco, A. (2017). Epigenetic etiology of intellectual disability. Journal of Neuroscience, 37, 10773–10782. doi:10.1523/JNEUROSCI.1840-17.2017CrossRefGoogle ScholarPubMed
Jarrold, C., & Brock, J. (2004). To match or not to match? Methodological issues in autism-related research. Journal of Autism and Developmental Disorders, 34, 81–86. doi:10.1023/B:JADD.0000018078.82542.abCrossRefGoogle ScholarPubMed
Karam, S. M., Barros, A. J. D., Matijasevich, A., Dos Santos, I. S., Anselmi, L., Barros, F., … Black, M. M. (2016). Intellectual disability in a birth cohort: Prevalence, etiology, and determinants at the age of 4 years. Public Health Genomics, 19, 290–297. doi:10.1159/000448912CrossRefGoogle Scholar
Kass, R. E., & Wasserman, L. (1995). A reference Bayesian test for nested hypotheses and its relationship to the schwarz criterion. Journal of the American Statistical Association, 90, 928–934. doi:10.1080/01621459.1995.10476592CrossRefGoogle Scholar
Katz, G., & Lazcano-Ponce, E. (2008). Intellectual disability: Definition, etiological factors, classification, diagnosis, treatment and prognosis. Salud Pública de México, 50, s132–s141. Retrieved from https://www.medigraphic.com/pdfs/salpubmex/sal-2008/sals082e.pdf%0Ahttp://www.scielosp.org/scielo.php?script=sci%7B_%7Darttext%7B&%7Dpid=S0036-36342008000800005%7B&%7Dlang=ptCrossRefGoogle Scholar
Koenen, K. C., Moffitt, T. E., Roberts, A. L., Martin, L. T., Kubzansky, L., Harrington, H., … Caspi, A. (2009). Childhood IQ and adult mental disorders: A test of the cognitive reserve hypothesis. American Journal of Psychiatry, 166, 50–57. doi:10.1176/appi.ajp.2008.08030343CrossRefGoogle ScholarPubMed
Lane, K. A., Stewart, J., Fernandes, T., Russo, N., Enns, J. T., & Burack, J. A. (2014). Complexities in understanding attentional functioning among children with fetal alcohol spectrum disorder. Frontiers in Human Neuroscience, 8(March), 1–8. doi:10.3389/fnhum.2014.00119CrossRefGoogle ScholarPubMed
McCall, R. B. (1977). Childhood IQ's as predictors of adult educational and occupational status. Science, 197, 482–483.CrossRefGoogle ScholarPubMed
Mervis, C.B., & Robinson, B.F. (1999). Methodological issues in cross‐syndrome comparisons: Matching procedures, sensitivity (Se), and specificity (Sp). Monographs of the Society for Research in Child Development, 64, 115–130.CrossRefGoogle Scholar
Mervis, C. B., & Klein-Tasman, B. P. (2000). Williams syndrome: Cognition, personality, and adaptive behavior. Mental Retardation and Developmental Disabilities Research Reviews, 6, 148–158.3.0.CO;2-T>CrossRefGoogle ScholarPubMed
Mervis, C. B., & Klein-Tasman, B. P. (2004). Methodological issues in group-matching designs: α levels for control variable comparisons and measurement characteristics of control and target variables. Journal of Autism and Developmental Disorders, 34, 7–17. doi:10.1023/B:JADD.0000018069.69562.b8CrossRefGoogle ScholarPubMed
Mir, Y. R., & Kuchay, R. A. H. (2019). Advances in identification of genes involved in autosomal recessive intellectual disability: A brief review. Journal of Medical Genetics, 56, 567–573. doi:10.1136/jmedgenet-2018-105821CrossRefGoogle ScholarPubMed
Muggeo, V. M. R. (2003). Estimating regression models with unknown break-points. Statistics in Medicine, 22, 3055–3071.CrossRefGoogle ScholarPubMed
Muggeo, V. M. R. (2008). Segmented: An R package to fit regression models with broken-line relationships. R News, 8, 20–25.Google Scholar
Piaget, J. (1972). Intellectual evolution from adolescence to adulthood. Human Development, 15, 1–12.CrossRefGoogle Scholar
Roid, G. H. (2003). Stanford-Binet intelligence scales, fifth edition, technical manual. Itasca, IL: Riverside Publishing.Google Scholar
Russo, N., Flanagan, T., Iarocci, G., Berringer, D., Zelazo, P. D., & Burack, J. A. (2007). Deconstructing executive deficits among persons with autism: Implications for cognitive neuroscience. Brain and Cognition, 65, 77–86. doi:10.1016/j.bandc.2006.04.007CrossRefGoogle ScholarPubMed
Schneider, W., Niklas, F., & Schmiedeler, S. (2014). Intellectual development from early childhood to early adulthood: The impact of early IQ differences on stability and change over time. Learning and Individual Differences, 32, 156–162. doi:10.1016/j.lindif.2014.02.001CrossRefGoogle Scholar
Selman, R. L. (1980). The growth of interpersonal understanding: Developmental and clinical analyses. New York: Academic Press.Google Scholar
Stevenson, R. E. (2000). Splitting and lumping in the nosology of XLMR. American Journal of Medical Genetics –Seminars in Medical Genetics, 97, 174–182. doi:10.1002/1096-8628(200023)97:3<174::AID-AJMG1034>3.0.CO;2-43.0.CO;2-4>CrossRefGoogle ScholarPubMed
Vissers, L. E. L. M., Gilissen, C., & Veltman, J. A. (2016). Genetic studies in intellectual disability and related disorders. Nature Reviews Genetics, 17, 9–18. doi:10.1038/nrg3999CrossRefGoogle ScholarPubMed
Vorstman, J. A. S., & Ophoff, R. A. (2013). Genetic causes of developmental disorders. Current Opinion in Neurology, 26, 1063–1078. doi:10.1007/s00213-013-3334-zCrossRefGoogle ScholarPubMed
Wechsler, D. (1932). Analytic use of the Army Alpha. Journal of Applied Psychology, 16, 254–256. doi:10.1037/h0072688CrossRefGoogle Scholar
Wechsler, D. (1981). The psychometric tradition: Developing the Wechsler adult intelligence scale. Contemporary Educational Psychology, 6, 82–85. doi:10.1016/0361-476X(81)90035-7CrossRefGoogle Scholar
Wechsler, D. (2011). Wechsler abbreviated scale of intelligence, second edition (WASI-II): Manual. San Antonio, TX: NCS Pearson.Google Scholar
Wechsler, D. (2014). Wechsler Intelligence Scale for Children –fifth edition (WISC-V): Technical and interpretive manual. Bloomington, MN: Pearson.Google Scholar
Wolfe, K., Strydom, A., & Bass, N. (2019). Genetics of intellectual disability. In Scheepers, M., & Kerr, M. (Eds.), Seminars in the psychiatry of intellectual disability (pp. 12–27). New York: Cambridge University Press.CrossRefGoogle Scholar
Zablotsky, B., Black, L. I., Maenner, M. J., Schieve, L. A., Danielson, M. L., Bitsko, R. H., … Boyle, C. A. (2019). Prevalence and trends of developmental disabilities among children in the United States: 2009–2017. Pediatrics, 144, 2009–2017. doi:10.1542/peds.2019-0811CrossRefGoogle ScholarPubMed
Zigler, E. (1967). Familial mental retardation: A continuing dilemma. Science, 155, 292–298. Retrieved from https://www.jstor.org/stable/1720653CrossRefGoogle ScholarPubMed
Zigler, E. (1969). Developmental versus difference theories of mental retardation and the problem of motivation. American Journal of Mental Deficiency, 73, 536–556.Google ScholarPubMed
Zigler, E., & Balla, D. A. (Eds.). (1982). Mental retardation: The developmental-difference controversy. Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Zigler, E., & Bishop-Josef, S. J. (2006). The cognitive child versus the whole child: Lessons from 40 years of head start. In Singer, D. G., Golinkoff, R. M., & Hirsh-Pasek, K. (Eds.), Play=Learning: How play motivates and enhances children's cognitive and social-emotional growth (pp. 15–35). New York: Oxford University Press. doi:10.1093/acprof.CrossRefGoogle Scholar
Zigler, E., & Hodapp, R. M. (1986). Understanding mental retardation. New York, NY: Cambridge University Press.Google Scholar