Restricted accessResearch articleFirst published online 2025
Identifying Latent Cognitive Profiles in Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder Using the Stanford-Binet Intelligence Scales—5th Edition
There is limited information concerning the presence of empirically derived, person-centered latent cognitive profiles in youth with autism spectrum disorder (ASD) or attention-deficit/hyperactivity disorder (ADHD) and whether these profiles are diagnostically useful. The aim of this study was to identify empirically driven cognitive subgroups in youth with ASD or ADHD and examine predictors of those profiles. A retrospective chart review was conducted with patients seen at a developmental assessment clinic who were identified with ASD or ADHD aged 2 to 16 years (n = 1,679, Mage = 8.4, SDage = 3.1). A Latent Profile Analysis with Stanford-Binet–Fifth Edition composites resulted in 14 profiles, which were roughly parallel to each other across various levels of cognitive functioning. Several profiles were characterized by a relatively large discrepancy between the Nonverbal IQ and Verbal IQ. Younger age and higher IQ were significant predictors of those with scattered profiles, whereas diagnoses (i.e., ASD or ADHD), sex, and emotional–behavioral functioning were not.
AchenbachT. M.DumenciL.RescorlaL. A. (2003). DSM-oriented and empirically based approaches to constructing scales from the same item pools. Journal of Clinical Child & Adolescent Psychology, 32(3), 328–340. https://doi.org/10.1207/S15374424JCCP3203_02
2.
AchenbachT. M.RescorlaL. A. (2001). Manual for the ASEBA school-age forms & profiles: An integrated system of multi-informant assessment. University of Vermont, Research Center for Children, Youth & Families.
3.
AldersonR. M.KasperL. J.HudecK. L.PatrosC. H. G. (2013). Attention-deficit/hyperactivity disorder (ADHD)and working memory in adults: A meta-analytic review. Neuropsychology, 27(3), 287–302. https://doi.org/10.1037/a0032371
4.
American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.).
5.
AnkenmanK.ElginJ.SullivanK.VincentL.BernierR. (2014). Nonverbal and verbal cognitive discrepancy profiles in autism spectrum disorders: Influence of age and gender. American Journal on Intellectual and Developmental Disabilities, 119(1), 84–99. https://doi.org/10.1352/1944-7558-119.1.84
6.
AntshelK. M.RussoN. (2019). Autism spectrum disorders and ADHD: Overlapping phenomenology, diagnostic issues, and treatment considerations. Current Psychiatry Reports, 21(5), 34. https://doi.org/10.1007/s11920-019-1020-5
7.
AvniE.Ben-ItzchakE.ZachorD. A. (2018). The presence of comorbid ADHD and anxiety symptoms in autism spectrum disorder: Clinical presentation and predictors. Frontiers in Psychiatry, 9, 717. https://doi.org/10.3389/fpsyt.2018.00717
8.
BaioJ.WigginsL.ChristensenD. L.MaennerM. J.DanielsJ.WarrenZ.Kurzius-SpencerM.ZahorodnyW.RosenbergC. R.WhiteT.DurkinM. S.ImmP.NikolaouL.Yeargin-AllsoppM.LeeL.-C.HarringtonR.LopezM.FitzgeraldR. T.HewittA., . . . DowlingN. F. (2018). Prevalence of autism spectrum disorder among children aged 8 years: Autism and developmental disabilities monitoring network, 11 sites, United States, 2014. MMWR Surveillance Summaries, 67(6), 1–23.
9.
BaumK. T.ShearP. K.HoweS. R.BishopS. L. (2015). A comparison of WISC-IV and SB-5 intelligence scores in adolescents with autism spectrum disorder. Autism, 19(6), 736–745. https://doi.org/10.1177/1362361314554920
10.
BucailleA.GrandgeorgeM.DegrezC.MallégolC.CamP.BotbolM.PlancheP. (2016). Cognitive profile in adults with Asperger syndrome using WAIS-IV: Comparison to typical adults. Research in Autism Spectrum Disorders, 21, 1–9. https://doi.org/10.1016/j.rasd.2015.09.001
11.
CharmanT.PicklesA.SimonoffE.ChandlerS.LoucasT.BairdG. (2011). IQ in children with autism spectrum disorders: Data from the Special Needs and Autism Project (SNAP). Psychological Medicine, 41(3), 619–627. https://doi.org/10.1017/S0033291710000991
12.
ClementsC. C.SpardingT.SchultzR. T.YerysB. E.WatkinsM. W. (2020). DAS-II cognitive profiles are not diagnostically meaningful for autism: A ROC analysis. Autism Research, 13(12), 2143–2154. https://doi.org/10.1002/aur.2336
13.
ClementsC. C.WatkinsM. W.SchultzR. T.YerysB. E.(2020). Does the factor structure of IQ differ between the Differential Ability Scales (DAS-II) normative sample and autistic children?Autism Research, 13(7), 1184–1194. https://doi.org/10.1002/aur.2285
14.
CookN. E.BraatenE. B.SurmanC. B. H. (2018). Clinical and functional correlates of processing speed in pediatric Attention-Deficit/Hyperactivity Disorder: A systematic review and meta-analysis. Child Neuropsychology, 24(5), 598–616. https://doi.org/10.1080/09297049.2017.1307952
15.
de BruinE. I.VerheijF.FerdinandR. F. (2006). WISC-R subtest but no overall VIQ–PIQ difference in Dutch children with PDD-NOS. Journal of Abnormal Child Psychology, 34(2), 254–262. https://doi.org/10.1007/s10802-005-9018-3
16.
DietzC.SwinkelsS. H. N.BuitelaarJ. K.van DaalenE.van EngelandH. (2007). Stability and change of IQ scores in preschool children diagnosed with autistic spectrum disorder. European Child & Adolescent Psychiatry, 16(6), 405–410. https://doi.org/10.1007/s00787-007-0614-3
17.
DinçerM.Uğurtaş GökçeF. S.GülH.Taş TorunY.BodurŞ.CöngöloğluM. A. (2022). Is processing speed (Gs) related to hyperactivity (as a narrow cognitive area of Gps): A dimensional approach to heterogeneity of clinical and WISC-IV cognitive profiles in ADHD from RDoC/HiTOP perspective. Journal of Attention Disorders, 26(13), 1747–1761. https://doi.org/10.1177/10870547221099963
18.
DoiH.KanaiC.OhtaH. (2022). Transdiagnostic and sex differences in cognitive profiles of autism spectrum disorder and attention-deficit/hyperactivity disorder. Autism Research, 15(6), 1130–1141. https://doi.org/10.1002/aur.2712
19.
DonosoJ.RattrayF.de BildtA.TillmannJ.WilliamsP.AbsoudM.TotsikaV. (2024). Association of cognitive and adaptive skills with internalizing and externalizing problems in autistic children and adolescents. Autism Research, 17(3), 596–609. https://doi.org/10.1002/aur.3056
20.
EavesL. C.HoH. H. (2004). The very early identification of autism: Outcome to age 4½–5. Journal of Autism and Developmental Disorders, 34(4), 367–378. https://doi.org/10.1023/B:JADD.0000037414.33270.a8
21.
EhlersS.NydénA.GillbergC.SandbergA. D.DahlgrenS.-O.HjelmquistE.OdénA. (1997). Asperger syndrome, autism and attention disorders: A comparative study of the cognitive profiles of 120 children. Journal of Child Psychology and Psychiatry, 38(2), 207–217. https://doi.org/10.1111/j.1469-7610.1997.tb01855.x
22.
ElliottC. D. (2007). Differential Ability Scales—Second Edition (DAS-II). Harcourt Assessment.
23.
FergusonS. L.MooreE. W. G.HullD. M. (2020). Finding latent groups in observed data: A primer on latent profile analysis in Mplus for applied researchers. International Journal of Behavioral Development, 44(5), 458–468. https://doi.org/10.1177/0165025419881721
24.
FischG. S.SimensenR. J.SchroerR. J. (2002). Longitudinal changes in cognitive and adaptive behavior scores in children and adolescents with the Fragile X mutation or autism. Journal of Autism and Developmental Disorders, 32(2), 107–114. https://doi.org/10.1023/A:1014888505185
25.
FischbachG. D.LordC. (2010). The Simons simplex collection: A resource for identification of autism genetic risk factors. Neuron, 68(2), 192–195. https://doi.org/10.1016/j.neuron.2010.10.006
FombonneE. (2003). Epidemiological surveys of autism and other pervasive developmental disorders: An update. Journal of Autism and Developmental Disorders, 33(4), 365–382. https://doi.org/10.1023/A:1025054610557
28.
FriedR.JoshiG.BhideP.PopeA.GaldoM.KosterA.ChanJ.FaraoneS. V.BiedermanJ. (2016). A study of the neuropsychological correlates in adults with high functioning autism spectrum disorders. Acta Neuropsychiatrica, 28(5), 286–295. https://doi.org/10.1017/neu.2016.12
29.
GearingR. E.MianI. A.BarberJ.IckowiczA. (2006). A methodology for conducting retrospective chart review research in child and adolescent psychiatry. Journal of the Canadian Academy of Child and Adolescent Psychiatry, 15(3), 126–134.
30.
GeurtsH. M.VertéS.OosterlaanJ.RoeyersH.SergeantJ. A. (2004). How specific are executive functioning deficits in attention deficit hyperactivity disorder and autism?Journal of Child Psychology and Psychiatry, 45(4), 836–854. https://doi.org/10.1111/j.1469-7610.2004.00276.x
31.
GiofrèD.ProvazzaS.AngioneD.CiniA.MenazzaC.OppiF.CornoldiC. (2019). The intellectual profile of children with autism spectrum disorders may be underestimated: A comparison between two different batteries in an Italian sample. Research in Developmental Disabilities, 90, 72–79. https://doi.org/10.1016/j.ridd.2019.04.009
32.
GraneV. A.EndestadT.PintoA. F.SolbakkA.-K. (2014). Attentional control and subjective executive function in treatment-naive adults with attention deficit hyperactivity disorder. PLoS One, 9(12), e115227. https://doi.org/10.1371/journal.pone.0115227
33.
HallelandH. B.HaavikJ.LundervoldA. J. (2012). Set-shifting in adults with ADHD. Journal of the International Neuropsychological Society, 18(4), 728–737. https://doi.org/10.1017/S1355617712000355
34.
JosephR. M.Tager-FlusbergH.LordC. (2002). Cognitive profiles and social-communicative functioning in children with autism spectrum disorder. Journal of Child Psychology and Psychiatry, 43(6), 807–821. https://doi.org/10.1111/1469-7610.00092
35.
KaralunasS. L.GeurtsH. M.KonradK.BenderS.NiggJ. T. (2014). Annual research review: Reaction time variability in ADHD and autism spectrum disorders: Measurement and mechanisms of a proposed trans-diagnostic phenotype. Journal of Child Psychology and Psychiatry, 55(6), 685–710. https://doi.org/10.1111/jcpp.12217
36.
KaralunasS. L.HawkeyE.GustafssonH.MillerM.LanghorstM.CordovaM.FairD.NiggJ. T. (2018). Overlapping and distinct cognitive impairments in attention-deficit/hyperactivity and autism spectrum disorder without intellectual disability. Journal of Abnormal Child Psychology, 46(8), 1705–1716. https://doi.org/10.1007/s10802-017-0394-2
37.
KernsC. M.Winder-PatelB.IosifA. M.NordahlC. W.HeathB.SolomonM.AmaralD. G. (2021). Clinically significant anxiety in children with autism spectrum disorder and varied intellectual functioning. Journal of Clinical Child & Adolescent Psychology, 50(6), 780–795. https://doi.org/10.1080/15374416.2019.1703712
38.
KimY. S.FombonneE.KohY.-J.KimS.-J.CheonK.-A.LeventhalB. L. (2014). A comparison of DSM-IV pervasive developmental disorder and DSM-5 autism spectrum disorder prevalence in an epidemiologic sample. Journal of the American Academy of Child & Adolescent Psychiatry, 53(5), 500–508. https://doi.org/10.1016/j.jaac.2013.12.021
39.
KoflerM. J.SinghL. J.SotoE. F.ChanE. S. M.MillerC. E.HarmonS. L.SpiegelJ. A. (2020). Working memory and short-term memory deficits in ADHD: A bifactor modeling approach. Neuropsychology, 34(6), 686–698. https://doi.org/10.1037/neu0000641
40.
KramerE.KooB.RestrepoA.KoyamaM.NeuhausR.PughK.AndreottiC.MilhamM. (2020). Diagnostic associations of processing speed in a transdiagnostic, pediatric sample. Scientific Reports, 10, 10114. https://doi.org/10.1038/s41598-020-66892-z
41.
KuriakoseS. (2014). Concurrent validity of the WISC-IV and DAS-II in children with autism spectrum disorder. Journal of Psychoeducational Assessment, 32(4), 283–294. https://doi.org/10.1177/0734282913511051
42.
LambekR.Sonuga-BarkeE.TannockR.SørensenA. V.DammD.ThomsenP. H. (2018). Are there distinct cognitive and motivational sub-groups of children with ADHD?Psychological Medicine, 48(10), 1722–1730. https://doi.org/10.1017/S0033291717003245
43.
LecavalierL.McCrackenC. E.AmanM. G.McDougleC. J.McCrackenJ. T.TierneyE.SmithT.JohnsonC.KingB.HandenB.SwiezyN. B.Eugene ArnoldL.BearssK.VitielloB.ScahillL. (2019). An exploration of concomitant psychiatric disorders in children with autism spectrum disorder. Comprehensive Psychiatry, 88, 57–64. https://doi.org/10.1016/j.comppsych.2018.10.012
44.
LimK.SmucnyJ.BarchD. M.LamM.KeefeR. S.LeeJ. (2021). Cognitive subtyping in schizophrenia: A latent profile analysis. Schizophrenia Bulletin, 47(3), 712–721. https://doi.org/10.1093/schbul/sbaa157
45.
LincolnA. J.CourchesneE.KilmanB. A.ElmasianR.AllenM. (1988). A study of intellectual abilities in high-functioning people with autism. Journal of Autism and Developmental Disorders, 18(4), 505–524. https://doi.org/10.1007/BF02211870
46.
LockyerL.RutterM. (1970). A five- to fifteen-year follow-up study of infantile psychosis: IV. patterns of cognitive ability. British Journal of Social and Clinical Psychology, 9(2), 152–163. https://doi.org/10.1111/j.2044-8260.1970.tb00654.x
47.
MacmannG. M.BarnettD. W. (1997). Myth of the master detective: Reliability of interpretations for Kaufman’s “Intelligent Testing” approach to the WISC-III. School Psychology Quarterly, 12(3), 197–234. https://doi.org/10.1037/h0088959
48.
MansourR.WardA. R.LaneD. M.LovelandK. A.AmanM. G.JergerS.SchacharR. J.PearsonD. A. (2021). ADHD severity as a predictor of cognitive task performance in children with Autism Spectrum Disorder (ASD). Research in Developmental Disabilities, 111, 103882. https://doi.org/10.1016/j.ridd.2021.103882
MayesS. D.CalhounS. L. (2003b). Analysis of WISC-III, Stanford-Binet:IV, and academic achievement test scores in children with autism. Journal of Autism & Developmental Disorders, 33(3), 329. https://doi.org/10.1023/A:1024462719081
51.
MayesS. D.CalhounS. L. (2008). WISC-IV and WIAT-II profiles in children with high-functioning autism. Journal of Autism and Developmental Disorders, 38(3), 428–439. https://doi.org/10.1007/s10803-007-0410-4
52.
McGillR. J.DombrowskiS. C.CanivezG. L. (2018). Cognitive profile analysis in school psychology: History, issues, and continued concerns. Journal of School Psychology, 71, 108–121. https://doi.org/10.1016/j.jsp.2018.10.007
53.
MedeirosK.MazurekM. O.KanneS.(2017). Investigating the factor structure of the child behavior checklist in a large sample of children with autism spectrum disorder. Research in Autism Spectrum Disorders, 40, 24–40. https://doi.org/10.1016/j.rasd.2017.06.001
54.
MinginsJ. E.TarverJ.WaiteJ.JonesC.SurteesA. D. (2021). Anxiety and intellectual functioning in autistic children: A systematic review and meta-analysis. Autism, 25(1), 18–32. https://doi.org/10.1177/1362361320953253
55.
MouraO.CostaP.SimõesM. R. (2019). WISC-III cognitive profiles in children with ADHD: Specific cognitive impairments and diagnostic utility. The Journal of General Psychology, 146(3), 258–282. https://doi.org/10.1080/00221309.2018.1561410
56.
NaderA.-M.JelenicP.SoulièresI. (2015). Discrepancy between WISC-III and WISC-IV cognitive profile in autism spectrum: What does it reveal about autistic cognition?PLoS One, 10(12), e0144645. https://doi.org/10.1371/journal.pone.0144645
57.
NakamuraB. J.EbesutaniC.BernsteinA.ChorpitaB. F. (2009). A psychometric analysis of the Child Behavior Checklist DSM-oriented scales. Journal of Psychopathology and Behavioral Assessment, 31, 178–189. https://doi.org/10.1007/s10862-008-9119-8
58.
NeelyK. A.WangP.ChennavasinA. P.SamimyS.TuckerJ.MeridaA.Perez-EdgarK.Huang-PollockC. (2017). Deficits in inhibitory force control in young adults with ADHD. Neuropsychologia, 99, 172–178. https://doi.org/10.1016/j.neuropsychologia.2017.03.012
59.
NowellK. P.SchandingG. T.Jr.KanneS. M.Goin-KochelR. P. (2015). Cognitive profiles in youth with autism spectrum disorder: An investigation of base rate discrepancies using the Differential Ability Scales—Second Edition. Journal of Autism and Developmental Disorders, 45, 1978–1988. https://doi.org/10.1007/s10803-014-2356-7
60.
NydénA.GillbergC.HjelmquistE.HeimanM. (1999). Executive function/attention deficits in boys with Asperger syndrome, attention disorder and reading/writing disorder. Autism, 3(3), 213–228. https://doi.org/10.1177/1362361399003003002
61.
Onandia-HinchadoI.Pardo-PalenzuelaN.Diaz-OruetaU. (2021). Cognitive characterization of adult attention deficit hyperactivity disorder by domains: A systematic review. Journal of Neural Transmission, 128(7), 893–937. https://doi.org/10.1007/s00702-021-02302-6
62.
OnnivelloS.PulinaF.LocatelliC.MarcolinC.RamacieriG.AntonarosF.VioneB.CaracausiM.LanfranchiS. (2022). Cognitive profiles in children and adolescents with Down syndrome. Scientific Reports, 12(1), 1936. https://doi.org/10.1038/s41598-022-05825-4
63.
OzonoffS.JensenJ. (1999). Brief report: Specific executive function profiles in three neurodevelopmental disorders. Journal of Autism and Developmental Disorders, 29(2), 171–177. https://doi.org/10.1023/A:1023052913110
64.
PandolfiV.MagyarC. I.DillC. A. (2009). Confirmatory factor analysis of the child behavior checklist 1.5–5 in a sample of children with autism spectrum disorders. Journal of Autism and Developmental Disorders, 39(7), 986–995. https://doi.org/10.1007/s10803-009-0716-5
65.
PandolfiV.MagyarC. I.DillC. A. (2012). An initial psychometric evaluation of the CBCL 6–18 in a sample of youth with autism spectrum disorders. Research in Autism Spectrum Disorders, 6(1), 96–108. https://doi.org/10.1016/j.rasd.2011.03.009
66.
PievskyM. A.McGrathR. E. (2018). The neurocognitive profile of attention-deficit/hyperactivity disorder: A review of meta-analyses. Archives of Clinical Neuropsychology, 33(2), 143–157. https://doi.org/10.1093/arclin/acx055
67.
R Core Team. (2023). R: A language and environment for statistical computing (Version 4.3.2) [Computer software]. R Foundation for Statistical Computing. https://www.R-project.org/
RobertsB. A.MartelM. M.NiggJ. T. (2017). Are there executive dysfunction subtypes within attention-deficit/hyperactivity disorder?Journal of Attention Disorders, 21(4), 284–293. https://doi.org/10.1177/1087054713510349
70.
RoidG. H. (2003). Stanford-Binet intelligence scales (5th ed.). Riverside.
71.
RosenbergJ. M.BeymerP. N.AndersonD. J.van LissaC. jSchmidtJ. A (2019). TidyLPA: An R package to easily carry out latent profile analysis (LPA) using open-source or commercial software. Journal of Open Source Software, 3(30), 978. https://doi.org/10.21105/joss.00978
72.
SansoneS. M.SchneiderA.BickelE.Berry-KravisE.PrescottC.HesslD. (2014). Improving IQ measurement in intellectual disabilities using true deviation from population norms. Journal of Neurodevelopmental Disorders, 6(16), 1–15. https://doi.org/10.1186/1866-1955-6-16
73.
ScruccaL.FraleyC.MurphyT. B.RafteryA. E. (2023). Model-based clustering, classification, and density estimation using mclust in R. Chapman and Hall/CRC. https://doi.org/10.1201/9781003277965
74.
SiegelD.MinshewN.GoldsteinG. (1996). Wechsler IQ profiles in diagnosis of high-functioning autism. Journal of Autism and Developmental Disorders, 26, 389–406. https://doi.org/10.1007/BF02172825
75.
SilleresiS.PrévostP.ZebibR.Bonnet-BrilhaultF.ConteD.TullerL. (2020). Identifying language and cognitive profiles in children with ASD via a cluster analysis exploration: Implications for the new ICD-11. Autism Research, 13(7), 1155–1167. https://doi.org/10.1002/aur.2268
SpurkD.HirschiA.WangM.ValeroD.KauffeldS. (2020). Latent profile analysis: A review and “how to” guide of its application within vocational behavior research. Journal of Vocational Behavior, 120, 103445. https://doi.org/10.1016/j.jvb.2020.103445
78.
StephensonK. G.BeckJ. S.SouthM.NorrisM.ButterE. (2021). Validity of the WISC-V in youth with autism spectrum disorder: Factor structure and measurement invariance. Journal of Clinical Child and Adolescent Psychology, 50(5), 669–681. https://doi.org/10.1080/15374416.2020.1846543
79.
TakayanagiM.KawasakiY.ShinomiyaM.HiroshiH.OkadaS.InoT.SakaiK.MurakamiK.IshidaR.MizunoK.NiwaS.-I. (2022). Review of cognitive characteristics of autism spectrum disorder using performance on six subtests on four versions of the Wechsler Intelligence Scale for Children. Journal of Autism and Developmental Disorders, 52(1), 240–253. https://doi.org/10.1007/s10803-021-04932-x
80.
van HulstB. M.de ZeeuwP.DurstonS. (2015). Distinct neuropsychological profiles within ADHD: A latent class analysis of cognitive control, reward sensitivity and timing. Psychological Medicine, 45(4), 735–745. https://doi.org/10.1017/S0033291714001792
81.
van SteenselF. J. A.BögelsS. M.de BruinE. I. (2013). Psychiatric comorbidity in children with autism spectrum disorders: A comparison with children with ADHD. Journal of Child and Family Studies, 22(3), 368–376. https://doi.org/10.1007/s10826-012-9587-z
82.
VassarM.HolzmannM. (2013). The retrospective chart review: Important methodological considerations. Journal of Educational Evaluation for Health Professions, 10, 12. https://doi.org/10.3352/jeehp.2013.10.12
83.
VelikonjaT.FettA.-K.VelthorstE. (2019). Patterns of nonsocial and social cognitive functioning in adults with autism spectrum disorder: A systematic review and meta-analysis. JAMA Psychiatry, 76(2), 135–151. https://doi.org/10.1001/jamapsychiatry.2018.3645
84.
VenterA.LordC.SchoplerE.(1992). A follow-up study of high-functioning autistic children. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 33(3), 489–507. https://doi.org/10.1111/j.1469-7610.1992.tb00887.x
85.
WallaceG. L.AndersonM.HappéF. (2009). Brief report: Information processing speed is intact in autism but not correlated with measured intelligence. Journal of Autism and Developmental Disorders, 39(5), 809–814. https://doi.org/10.1007/s10803-008-0684-1
86.
WatkinsM. W.CanivezG. L. (2004). Temporal stability of WISC–III subtest composite: Strengths and weaknesses. Psychological Assessment, 16(2), 133–138. https://doi.org/10.1037/1040-3590.16.2.133.
87.
WatkinsM. W.CanivezG. L. (2022). Are there cognitive profiles unique to students with learning disabilities? A latent profile analysis of Wechsler Intelligence Scale for Children-Fourth Edition scores. School Psychology Review, 51(5), 634–646. https://doi.org/10.1080/2372966X.2021.1919923
88.
WatkinsM. W.KushJ. C.SchaeferB. A. (2002). Diagnostic utility of the learning disability index. Journal of Learning Disabilities, 35(2), 98–103. https://doi.org/10.1177/002221940203500201
89.
WatkinsM. W.SmithL. G. (2013). Long-term stability of the Wechsler Intelligence Scale for Children—Fourth Edition. Psychological Assessment, 25(2), 477–483. https://doi.org/10.1037/a0031653
WechslerD. (2014). Wechsler intelligence scale for children—Fifth Edition (WISC-V). Pearson.
92.
World Health Organization. (2019). International statistical classification of diseases and related health problems (11th ed.).
93.
YerysB. E.KenworthyL.JankowskiK. F.StrangJ.WallaceG. L. (2013). Separate components of emotional go/no-go performance relate to autism versus attention symptoms in children with autism. Neuropsychology, 27(5), 537–545. https://doi.org/10.1037/a0033615
