Skip to main content
Top
Gepubliceerd in:

03-05-2021 | Original Article

Neurodiversity and Intelligence: Evaluating the Flynn Effect in Children with Autism Spectrum Disorder

Auteurs: Kenzie B. Billeiter, John Mark Froiland, Justin P. Allen, Daniel B. Hajovsky

Gepubliceerd in: Child Psychiatry & Human Development | Uitgave 5/2022

Log in om toegang te krijgen
share
DELEN

Deel dit onderdeel of sectie (kopieer de link)

  • Optie A:
    Klik op de rechtermuisknop op de link en selecteer de optie “linkadres kopiëren”
  • Optie B:
    Deel de link per e-mail

Abstract

The Flynn Effect (FE) among child and adolescent populations indicates that intelligence scores improve by about three points per decade. Using nine years of data from the National Database for Autism Research, this study examined whether general intelligence changed significantly for nine cohorts with autism spectrum disorder (ASD; N = 671). Analyses demonstrated a downward trend such that Cohen’s d from 1998 to 2006 was − 0.27. The mean IQ is 92.74 for years 1–3, 91.54 for years 4–6, and 87.34 for years 7–9, indicating a reverse FE of 5.4 points per decade. A linear regression revealed a significant negative FE comparable to the positive effect of age on IQ among those with ASD. Implications for research, practice, and law are discussed.
Literatuur
2.
go back to reference Shenk D (2017) What is the Flynn effect, and how does it change our understanding of IQ? WIREs Cogn Sci 8:1–2CrossRef Shenk D (2017) What is the Flynn effect, and how does it change our understanding of IQ? WIREs Cogn Sci 8:1–2CrossRef
4.
go back to reference Kaufman AS, Dillon T, Kirsch JW (2013) A beautiful theory, killed by a nasty, ugly little fact. Psyccritiques 58:19 Kaufman AS, Dillon T, Kirsch JW (2013) A beautiful theory, killed by a nasty, ugly little fact. Psyccritiques 58:19
5.
go back to reference Wechsler D (2008) Wechsler adult intelligence scale–fourth edition. Pearson, United States Wechsler D (2008) Wechsler adult intelligence scale–fourth edition. Pearson, United States
6.
go back to reference Kaufman AS (2010) “In what way are apples and oranges alike?” A critique of Flynn’s interpretation of the Flynn effect. J Psychoeduc Assess 28:382–398CrossRef Kaufman AS (2010) “In what way are apples and oranges alike?” A critique of Flynn’s interpretation of the Flynn effect. J Psychoeduc Assess 28:382–398CrossRef
7.
go back to reference McGrew KS (2010) The Flynn effect and its critics: rusty Linchpins and “Lookin” for g and Gf in some of the wrong places’. J Psychoeduc Assess 28:448–468CrossRef McGrew KS (2010) The Flynn effect and its critics: rusty Linchpins and “Lookin” for g and Gf in some of the wrong places’. J Psychoeduc Assess 28:448–468CrossRef
8.
go back to reference Hajovsky D, Reynolds MR, Floyd RG, Turek JJ, Keith TZ (2014) A multigroup investigation of latent cognitive abilities and reading achievement relations. Sch Psychol Rev 43:385–406CrossRef Hajovsky D, Reynolds MR, Floyd RG, Turek JJ, Keith TZ (2014) A multigroup investigation of latent cognitive abilities and reading achievement relations. Sch Psychol Rev 43:385–406CrossRef
9.
go back to reference Villeneuve EF, Hajovsky DB, Mason BA, Lewno BM (2019) Cognitive ability and math computation developmental relations with math problem solving: an integrated, multigroup approach. Sch Psychol 34:96CrossRef Villeneuve EF, Hajovsky DB, Mason BA, Lewno BM (2019) Cognitive ability and math computation developmental relations with math problem solving: an integrated, multigroup approach. Sch Psychol 34:96CrossRef
10.
go back to reference Hajovsky DB, Villeneuve EF, Reynolds MR, Niileksela CR, Mason BA, Shudak NJ (2018) Cognitive ability influences on written expression: evidence for developmental and sex-based differences in school-age children. J Sch Psychol 67:104–118PubMedCrossRef Hajovsky DB, Villeneuve EF, Reynolds MR, Niileksela CR, Mason BA, Shudak NJ (2018) Cognitive ability influences on written expression: evidence for developmental and sex-based differences in school-age children. J Sch Psychol 67:104–118PubMedCrossRef
11.
go back to reference Froiland JM, Davison ML (2020) Social perception: relationships with general intelligence, working memory, processing speed, visual-spatial ability, and verbal comprehension. Ed Psychol 40:750–766CrossRef Froiland JM, Davison ML (2020) Social perception: relationships with general intelligence, working memory, processing speed, visual-spatial ability, and verbal comprehension. Ed Psychol 40:750–766CrossRef
12.
go back to reference Danner D, Hagemann D, Schankin A, Hager M, Funke J (2011) Beyond IQ: a latent state-trait analysis of general intelligence, dynamic decision making, and implicit learning. Intelligence 39:323–334CrossRef Danner D, Hagemann D, Schankin A, Hager M, Funke J (2011) Beyond IQ: a latent state-trait analysis of general intelligence, dynamic decision making, and implicit learning. Intelligence 39:323–334CrossRef
13.
go back to reference Pietschnig J, Voracek M (2015) One century of global IQ gains: a formal meta-analysis of the Flynn effect (1909–2013). Perspect Psychol Sci 10:282–306PubMedCrossRef Pietschnig J, Voracek M (2015) One century of global IQ gains: a formal meta-analysis of the Flynn effect (1909–2013). Perspect Psychol Sci 10:282–306PubMedCrossRef
14.
go back to reference Carl N (2016) IQ and socioeconomic development across regions of the UK. J Biosocl Sci 48:406–417CrossRef Carl N (2016) IQ and socioeconomic development across regions of the UK. J Biosocl Sci 48:406–417CrossRef
15.
go back to reference Marks DF (2010) IQ variations across time, race, and nationality: an artifact of differences in literacy skills. Psychol Rep 106:643–664PubMedCrossRef Marks DF (2010) IQ variations across time, race, and nationality: an artifact of differences in literacy skills. Psychol Rep 106:643–664PubMedCrossRef
16.
go back to reference Colom R, Lluis-Font JM, Andrés-Pueyo A (2005) The generational intelligence gains are caused by decreasing variance in the lower half of the distribution: supporting evidence for the nutrition hypothesis. Intelligence 33:3–91CrossRef Colom R, Lluis-Font JM, Andrés-Pueyo A (2005) The generational intelligence gains are caused by decreasing variance in the lower half of the distribution: supporting evidence for the nutrition hypothesis. Intelligence 33:3–91CrossRef
17.
go back to reference Lynn R (1998) In support of the nutrition theory. In: Nesser U (ed) The rising curve: long-term gains in IQ and related measures. American Psychological Association, Washington, DC, pp 207–215CrossRef Lynn R (1998) In support of the nutrition theory. In: Nesser U (ed) The rising curve: long-term gains in IQ and related measures. American Psychological Association, Washington, DC, pp 207–215CrossRef
18.
go back to reference Mingroni MA (2007) Resolving the IQ paradox: heterosis as a cause of the Flynn effect and other trends. Psychol Bull 114:806–829 Mingroni MA (2007) Resolving the IQ paradox: heterosis as a cause of the Flynn effect and other trends. Psychol Bull 114:806–829
19.
go back to reference Woodley M, Meisenberg G (2013) In the Netherlands the anti-Flynn effect is a Jensen effect. Pers Individ Differ 54:871–876CrossRef Woodley M, Meisenberg G (2013) In the Netherlands the anti-Flynn effect is a Jensen effect. Pers Individ Differ 54:871–876CrossRef
20.
go back to reference Dutton E, van der Linden D, Lynn R (2016) The negative Flynn effect: a systematic literature review. Intelligence 59:163–169CrossRef Dutton E, van der Linden D, Lynn R (2016) The negative Flynn effect: a systematic literature review. Intelligence 59:163–169CrossRef
21.
go back to reference Sundet JM, Barlaug DG, Torjussen TM (2004) The end of the Flynn effect? A study of secular trends in mean intelligence test scores of Norwegian conscripts during half a century. Intelligence 32:349–362CrossRef Sundet JM, Barlaug DG, Torjussen TM (2004) The end of the Flynn effect? A study of secular trends in mean intelligence test scores of Norwegian conscripts during half a century. Intelligence 32:349–362CrossRef
22.
go back to reference Teasdale T, Owen DR (2008) Secular declines in cognitive test scores: a reversal of the Flynn effect. Intelligence 36:21–126CrossRef Teasdale T, Owen DR (2008) Secular declines in cognitive test scores: a reversal of the Flynn effect. Intelligence 36:21–126CrossRef
23.
go back to reference Shayer M, Ginsburg D (2007) Thirty years on—a large anti-Flynn effect? The Piagetian test volume and heaviness norms 1975–2003. J Educ Psychol 77:25–41 Shayer M, Ginsburg D (2007) Thirty years on—a large anti-Flynn effect? The Piagetian test volume and heaviness norms 1975–2003. J Educ Psychol 77:25–41
24.
go back to reference Shayer M, Ginsburg D (2009) Thirty years on—a large anti-Flynn effect? 11: 13-year olds. piagetian tests of formal operations norms 1976–2006/7. Br J Educ Psychol 79:409–418PubMedCrossRef Shayer M, Ginsburg D (2009) Thirty years on—a large anti-Flynn effect? 11: 13-year olds. piagetian tests of formal operations norms 1976–2006/7. Br J Educ Psychol 79:409–418PubMedCrossRef
25.
go back to reference Dutton E, Lynn R (2013) A negative Flynn effect in Finland, 1997–2009. Intelligence 41:817–820CrossRef Dutton E, Lynn R (2013) A negative Flynn effect in Finland, 1997–2009. Intelligence 41:817–820CrossRef
26.
go back to reference Dutton E, Lynn R (2015) A negative Flynn effect in France, 1999–2008/9. Intelligence 51:67–70CrossRef Dutton E, Lynn R (2015) A negative Flynn effect in France, 1999–2008/9. Intelligence 51:67–70CrossRef
27.
go back to reference Korgesaar M (2013) Flynni Efekti Esinemine Eesti Abiturientide Seas Raveni Testi Pohjal. (Seminaritöö) Tartu Ulikool Korgesaar M (2013) Flynni Efekti Esinemine Eesti Abiturientide Seas Raveni Testi Pohjal. (Seminaritöö) Tartu Ulikool
28.
go back to reference Platt JM, Keyes KM, McLaughlin KA, Kaufman AS (2019) The Flynn effect for fluid IQ may not generalize to all ages or ability levels: a population-based study of 10,000 US adolescents. Intelligence 77:101385PubMedPubMedCentralCrossRef Platt JM, Keyes KM, McLaughlin KA, Kaufman AS (2019) The Flynn effect for fluid IQ may not generalize to all ages or ability levels: a population-based study of 10,000 US adolescents. Intelligence 77:101385PubMedPubMedCentralCrossRef
29.
go back to reference Bain GH, Lemmon H, Teunisse S, Starr J, Fox HC, Deary IJ, Whalley LJ (2003) Quality of life in healthy old age: relationships with childhood IQ, minor psychological symptoms and optimism. Soc Psychiatry Psychiatr Epidemiol 38:632–636PubMedCrossRef Bain GH, Lemmon H, Teunisse S, Starr J, Fox HC, Deary IJ, Whalley LJ (2003) Quality of life in healthy old age: relationships with childhood IQ, minor psychological symptoms and optimism. Soc Psychiatry Psychiatr Epidemiol 38:632–636PubMedCrossRef
30.
go back to reference Rajput S, Hassiotis A, Richards M, Hatch SL, Stewart R (2011) Associations between IQ and common mental disorders: the 2000 British National Survey of Psychiatric Morbidity. Eur Psychiatry 26:390–395PubMedCrossRef Rajput S, Hassiotis A, Richards M, Hatch SL, Stewart R (2011) Associations between IQ and common mental disorders: the 2000 British National Survey of Psychiatric Morbidity. Eur Psychiatry 26:390–395PubMedCrossRef
31.
go back to reference Flynn JR (2006) Tethering the elephant: capital cases, IQ, and the Flynn effect. Psychol Pub Pol’y & L 12:170–189 Flynn JR (2006) Tethering the elephant: capital cases, IQ, and the Flynn effect. Psychol Pub Pol’y & L 12:170–189
32.
go back to reference Kanaya T, Ceci S (2012) The impact of the Flynn effect on LD diagnoses in special education. J Learn Disabil 45:319–326PubMedCrossRef Kanaya T, Ceci S (2012) The impact of the Flynn effect on LD diagnoses in special education. J Learn Disabil 45:319–326PubMedCrossRef
33.
go back to reference Wechsler D (1974) Manual for the Wechsler intelligence scale for children-revised. The Psychological Corporation, San Antonio, Texas Wechsler D (1974) Manual for the Wechsler intelligence scale for children-revised. The Psychological Corporation, San Antonio, Texas
34.
go back to reference Wechsler D (1991) Wechsler Intelligence Scale for children: third edition manual. The Psychological Corporation, San Antonio, Texas Wechsler D (1991) Wechsler Intelligence Scale for children: third edition manual. The Psychological Corporation, San Antonio, Texas
35.
go back to reference Matson JL, Williams LW (2013) Differential diagnosis and comorbidity: distinguishing autism from other mental health issues. Neuropsychiatry 3:233–243CrossRef Matson JL, Williams LW (2013) Differential diagnosis and comorbidity: distinguishing autism from other mental health issues. Neuropsychiatry 3:233–243CrossRef
36.
go back to reference O’Riordan MA, Plaisted KC, Driver J, Baron-Cohen S (2001) Superior visual search in autism. Journal Exp Psychol Hum Percept Perform 27:719CrossRef O’Riordan MA, Plaisted KC, Driver J, Baron-Cohen S (2001) Superior visual search in autism. Journal Exp Psychol Hum Percept Perform 27:719CrossRef
37.
go back to reference Pellicano E, Burr D (2012) When the world becomes ‘too real’: a Bayesian explanation of autistic perception. Trends Cogn Styles 16:504–510CrossRef Pellicano E, Burr D (2012) When the world becomes ‘too real’: a Bayesian explanation of autistic perception. Trends Cogn Styles 16:504–510CrossRef
38.
go back to reference Remington A, Fairnie J (2017) A sound advantage: Increased auditory capacity in autism. Cognition 166:459–465PubMedCrossRef Remington A, Fairnie J (2017) A sound advantage: Increased auditory capacity in autism. Cognition 166:459–465PubMedCrossRef
39.
go back to reference Shah A, Frith U (1993) Why do autistic individuals show superior performance on the block design task? J Child Psychol Psychiatry 34:1351–1364PubMedCrossRef Shah A, Frith U (1993) Why do autistic individuals show superior performance on the block design task? J Child Psychol Psychiatry 34:1351–1364PubMedCrossRef
40.
go back to reference Tillmann J, Swettenham J (2017) Visual perceptual load reduces auditory detection in typically developing individuals but not in individuals with autism spectrum disorders. Neuropsychology 31:181–190PubMedCrossRef Tillmann J, Swettenham J (2017) Visual perceptual load reduces auditory detection in typically developing individuals but not in individuals with autism spectrum disorders. Neuropsychology 31:181–190PubMedCrossRef
41.
go back to reference Baron-Cohen S, Wheelwright S, Skinner R, Martin J, Clubley E (2001) The Autism-Spectrum Quotient (AQ): evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. J Autism Dev Disord 31:5–17PubMedCrossRef Baron-Cohen S, Wheelwright S, Skinner R, Martin J, Clubley E (2001) The Autism-Spectrum Quotient (AQ): evidence from Asperger syndrome/high-functioning autism, males and females, scientists and mathematicians. J Autism Dev Disord 31:5–17PubMedCrossRef
43.
go back to reference Coolican J, Bryson SE, Zwaigenbaum L (2008) Brief report: Data on the Stanford-Binet intelligence scales in children with autism spectrum disorder. J Autism Dev Disord 38:190–197PubMedCrossRef Coolican J, Bryson SE, Zwaigenbaum L (2008) Brief report: Data on the Stanford-Binet intelligence scales in children with autism spectrum disorder. J Autism Dev Disord 38:190–197PubMedCrossRef
44.
go back to reference Lennen DT, Lamb GD, Dunagan BJ, Hall TA (2010) Verbal prowess equals higher IQ: implications for evaluating autism. Res Autism Spectr Disord 4:95–101CrossRef Lennen DT, Lamb GD, Dunagan BJ, Hall TA (2010) Verbal prowess equals higher IQ: implications for evaluating autism. Res Autism Spectr Disord 4:95–101CrossRef
46.
go back to reference Oliveras-Rentas RE, Kenworthy L, Roberson RB, Martin A, Wallace GL (2012) WISC-IV profile in high-functioning autism spectrum disorders: impaired processing speed is associated with increased autism communication symptoms and decreased adaptive communication abilities. J Autism Dev Disord 42:655–664PubMedPubMedCentralCrossRef Oliveras-Rentas RE, Kenworthy L, Roberson RB, Martin A, Wallace GL (2012) WISC-IV profile in high-functioning autism spectrum disorders: impaired processing speed is associated with increased autism communication symptoms and decreased adaptive communication abilities. J Autism Dev Disord 42:655–664PubMedPubMedCentralCrossRef
47.
go back to reference Koegel LK, Koegel RL, Smith A (1997) Variables related to differences in standardized test outcomes for children with autism. J Autism Dev Disord 27:233–244PubMedCrossRef Koegel LK, Koegel RL, Smith A (1997) Variables related to differences in standardized test outcomes for children with autism. J Autism Dev Disord 27:233–244PubMedCrossRef
48.
go back to reference Freeman BJ, Del’Homme M, Guthrie D, Zhang F (1999) Vineland Adaptive Behavior Scale scores as a function of age and initial IQ in 210 autistic children. J Autism Dev Disord 29:379–384PubMedCrossRef Freeman BJ, Del’Homme M, Guthrie D, Zhang F (1999) Vineland Adaptive Behavior Scale scores as a function of age and initial IQ in 210 autistic children. J Autism Dev Disord 29:379–384PubMedCrossRef
49.
go back to reference American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders, 5th edn. APA, Washington, DCCrossRef American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders, 5th edn. APA, Washington, DCCrossRef
50.
go back to reference Wechsler D (1992) Wechsler preschool and primary scale of intelligence, 3rd edn. The Psychological Corporation, San Antonio, TX Wechsler D (1992) Wechsler preschool and primary scale of intelligence, 3rd edn. The Psychological Corporation, San Antonio, TX
51.
go back to reference Wechsler D (1991) The Wechsler intelligence scale for children—third edition. The Psychological Corporation, San Antonio, TX Wechsler D (1991) The Wechsler intelligence scale for children—third edition. The Psychological Corporation, San Antonio, TX
52.
go back to reference Wechsler D (1981) Wechsler adult intelligence scale, Revised. The Psychological Corporation, San Antonio, TX Wechsler D (1981) Wechsler adult intelligence scale, Revised. The Psychological Corporation, San Antonio, TX
53.
go back to reference Bishop SL, Farmer C, Thurm A (2015) Measurement of nonverbal IQ in autism spectrum disorder: scores in young adulthood compared to early childhood. J Autism Devl Disord 45:966–974CrossRef Bishop SL, Farmer C, Thurm A (2015) Measurement of nonverbal IQ in autism spectrum disorder: scores in young adulthood compared to early childhood. J Autism Devl Disord 45:966–974CrossRef
54.
go back to reference Solomon M, Iosif AM, Reinhardt VP, Libero LE, Nordahl CW, Ozonoff S et al (2018) What will my child’s future hold? Phenotypes of intellectual development in 2–8-year-olds with autism spectrum disorder. Autism Res 11:121–132PubMedCrossRef Solomon M, Iosif AM, Reinhardt VP, Libero LE, Nordahl CW, Ozonoff S et al (2018) What will my child’s future hold? Phenotypes of intellectual development in 2–8-year-olds with autism spectrum disorder. Autism Res 11:121–132PubMedCrossRef
55.
go back to reference Wechsler D (1999) Wechsler abbreviated scale of intelligence. Pearson, London Wechsler D (1999) Wechsler abbreviated scale of intelligence. Pearson, London
56.
go back to reference Rogers SJ, Dawson G (2020) Early Start Denver Model for young children with autism: promoting language, learning, and engagement. Guilford Publications, New York Rogers SJ, Dawson G (2020) Early Start Denver Model for young children with autism: promoting language, learning, and engagement. Guilford Publications, New York
57.
go back to reference Eaves LC, Ho HH (2004) The very early identification of autism: outcome to age 41/2–5. J Autism Dev Disord 34:367–378PubMedCrossRef Eaves LC, Ho HH (2004) The very early identification of autism: outcome to age 41/2–5. J Autism Dev Disord 34:367–378PubMedCrossRef
58.
go back to reference Yang P, Jong YJ, Hsu HY, Chen CS (2003) Preschool children with autism spectrum disorders in Taiwan: follow-up of cognitive assessment to early school age. Brain Dev 25:549–554PubMedCrossRef Yang P, Jong YJ, Hsu HY, Chen CS (2003) Preschool children with autism spectrum disorders in Taiwan: follow-up of cognitive assessment to early school age. Brain Dev 25:549–554PubMedCrossRef
59.
go back to reference Mayes SD, Calhoun SL (2003) Ability profiles in children with autism: influence of age and IQ. Autism 7:65–80PubMedCrossRef Mayes SD, Calhoun SL (2003) Ability profiles in children with autism: influence of age and IQ. Autism 7:65–80PubMedCrossRef
60.
go back to reference Lynn R, Hampson S (1986) The rise of national intelligence: evidence from Britain, Japan and the USA. Pers Individ Differ 7:23–32CrossRef Lynn R, Hampson S (1986) The rise of national intelligence: evidence from Britain, Japan and the USA. Pers Individ Differ 7:23–32CrossRef
61.
go back to reference Spitz HH (1989) Variations in Wechsler interscale IQ disparities at different levels of IQ. Intelligence 13:157–167CrossRef Spitz HH (1989) Variations in Wechsler interscale IQ disparities at different levels of IQ. Intelligence 13:157–167CrossRef
62.
go back to reference Teasdale TW, Owen DR (1989) Continuing secular increases in intelligence and stable prevalence of high intelligence levels. Intelligence 13:255–262CrossRef Teasdale TW, Owen DR (1989) Continuing secular increases in intelligence and stable prevalence of high intelligence levels. Intelligence 13:255–262CrossRef
63.
go back to reference Zhou X, Zhu J, Weiss LG (2010) Pearson Peeking inside the “blackbox” of the Flynn effect: evidence from three Wechsler instruments. J Psychoeduc Assess 28:399–411CrossRef Zhou X, Zhu J, Weiss LG (2010) Pearson Peeking inside the “blackbox” of the Flynn effect: evidence from three Wechsler instruments. J Psychoeduc Assess 28:399–411CrossRef
64.
go back to reference Sattler JM (1992) Assessment of children: Revised and updated Sattler JM (1992) Assessment of children: Revised and updated
65.
go back to reference Kezer F, Arik RS (2012) An examination and comparison of the revisions of the Wechsler Intelligence Scale for children. Procedia Soc Behav Sci 46:2104–2110CrossRef Kezer F, Arik RS (2012) An examination and comparison of the revisions of the Wechsler Intelligence Scale for children. Procedia Soc Behav Sci 46:2104–2110CrossRef
67.
go back to reference Landa RJ (2018) Efficacy of early interventions for infants and young children with, and at risk for, autism spectrum disorders. Int Rev Psychiatry 30:25–39PubMedPubMedCentralCrossRef Landa RJ (2018) Efficacy of early interventions for infants and young children with, and at risk for, autism spectrum disorders. Int Rev Psychiatry 30:25–39PubMedPubMedCentralCrossRef
68.
go back to reference Crone EA, Donohue SE, Honomichl R, Wendelken C, Bunge SA (2006) Brain regions mediating flexible rule use during development. J Neurosci 26:11239–11247PubMedPubMedCentralCrossRef Crone EA, Donohue SE, Honomichl R, Wendelken C, Bunge SA (2006) Brain regions mediating flexible rule use during development. J Neurosci 26:11239–11247PubMedPubMedCentralCrossRef
69.
go back to reference Crone EA, Wendelken C, Van Leijenhorst L, Honomichl RD, Christoff K, Bunge SA (2009) Neurocognitive development of relational reasoning. Dev Sci 12:55–66PubMedPubMedCentralCrossRef Crone EA, Wendelken C, Van Leijenhorst L, Honomichl RD, Christoff K, Bunge SA (2009) Neurocognitive development of relational reasoning. Dev Sci 12:55–66PubMedPubMedCentralCrossRef
70.
go back to reference Ferrer E, O’Hare ED, Bunge SA (2009) Fluid reasoning and the developing brain. Front Neurosci 3:3CrossRef Ferrer E, O’Hare ED, Bunge SA (2009) Fluid reasoning and the developing brain. Front Neurosci 3:3CrossRef
71.
go back to reference Lövdén M, Fratiglioni L, Glymour MM, Lindenberger U, Tucker-Drob EM (2020) Education and cognitive functioning across the life span. Psychol Sci Publ Int 21:6–41CrossRef Lövdén M, Fratiglioni L, Glymour MM, Lindenberger U, Tucker-Drob EM (2020) Education and cognitive functioning across the life span. Psychol Sci Publ Int 21:6–41CrossRef
72.
go back to reference Shaw SR, Jankowska AM (2018) Pediatric intellectual disabilities at school: translating research into practice. Springer, New YorkCrossRef Shaw SR, Jankowska AM (2018) Pediatric intellectual disabilities at school: translating research into practice. Springer, New YorkCrossRef
73.
go back to reference Szatmari P (2018) Risk and resilience in autism spectrum disorder: a missed translational opportunity? Dev Med Child Neurol 60:225–229PubMedCrossRef Szatmari P (2018) Risk and resilience in autism spectrum disorder: a missed translational opportunity? Dev Med Child Neurol 60:225–229PubMedCrossRef
74.
go back to reference Orinstein AJ, Suh J, Porter K et al (2015) Social function and communication in optimal outcome children and adolescents with an autism history on structured test measures. J Autism Dev Disord 45:2443–2463PubMedPubMedCentralCrossRef Orinstein AJ, Suh J, Porter K et al (2015) Social function and communication in optimal outcome children and adolescents with an autism history on structured test measures. J Autism Dev Disord 45:2443–2463PubMedPubMedCentralCrossRef
75.
go back to reference Sigman M, McGovern CW (2005) Improvement in cognitive and language skills from preschool to adolescence in autism. J Autism Dev Disord 35:15–23PubMedCrossRef Sigman M, McGovern CW (2005) Improvement in cognitive and language skills from preschool to adolescence in autism. J Autism Dev Disord 35:15–23PubMedCrossRef
76.
go back to reference Froiland JM, Davison ML (2020) Emotional intelligence, listening comprehension, and reading comprehension among diverse adolescents. J Child Fam Stud 29:1385–1390CrossRef Froiland JM, Davison ML (2020) Emotional intelligence, listening comprehension, and reading comprehension among diverse adolescents. J Child Fam Stud 29:1385–1390CrossRef
77.
go back to reference Mayer JD, Caruso DR, Salovey P (2016) The ability model of emotional intelligence: principles and updates. Emot Rev 8:290–300CrossRef Mayer JD, Caruso DR, Salovey P (2016) The ability model of emotional intelligence: principles and updates. Emot Rev 8:290–300CrossRef
78.
go back to reference Reichow B (2012) Overview of meta-analyses on early intensive behavioral intervention for young children with autism spectrum disorders. J Autism Dev Disord 42:512–520PubMedCrossRef Reichow B (2012) Overview of meta-analyses on early intensive behavioral intervention for young children with autism spectrum disorders. J Autism Dev Disord 42:512–520PubMedCrossRef
79.
go back to reference Smith T, Iadarola S (2015) Evidence base update for autism spectrum disorder. J Clin Child Adolesc Psychol 44:897–922PubMedCrossRef Smith T, Iadarola S (2015) Evidence base update for autism spectrum disorder. J Clin Child Adolesc Psychol 44:897–922PubMedCrossRef
80.
go back to reference Benson N, Beaujean AA, Taub GE (2015) Using score equating and measurement invariance to examine the Flynn effect in the Wechsler adult intelligence scale. Multivar Beh Res 50:398–415CrossRef Benson N, Beaujean AA, Taub GE (2015) Using score equating and measurement invariance to examine the Flynn effect in the Wechsler adult intelligence scale. Multivar Beh Res 50:398–415CrossRef
Metagegevens
Titel
Neurodiversity and Intelligence: Evaluating the Flynn Effect in Children with Autism Spectrum Disorder
Auteurs
Kenzie B. Billeiter
John Mark Froiland
Justin P. Allen
Daniel B. Hajovsky
Publicatiedatum
03-05-2021
Uitgeverij
Springer US
Gepubliceerd in
Child Psychiatry & Human Development / Uitgave 5/2022
Print ISSN: 0009-398X
Elektronisch ISSN: 1573-3327
DOI
https://doi.org/10.1007/s10578-021-01175-w