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Melillo R, Leisman G, Machado C, Machado-Ferrer Y, Chinchilla-Acosta M, Melillo T, Carmeli E. The Relationship between Retained Primitive Reflexes and Hemispheric Connectivity in Autism Spectrum Disorders. Brain Sci 2023; 13:1147. [PMID: 37626503 PMCID: PMC10452103 DOI: 10.3390/brainsci13081147] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 07/20/2023] [Accepted: 07/29/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Autism Spectrum Disorder (ASD) can be identified by a general tendency toward a reduction in the expression of low-band, widely dispersed integrative activities, which is made up for by an increase in localized, high-frequency, regionally dispersed activity. The study assessed ASD children and adults all possessing retained primitive reflexes (RPRs) compared with a control group that did not attempt to reduce or remove those RPRs and then examined the effects on qEEG and brain network connectivity. METHODS Analysis of qEEG spectral and functional connectivity was performed, to identify associations with the presence or absence of retained primitive reflexes (RPRs), before and after an intervention based on TENS unilateral stimulation. RESULTS The results point to abnormal lateralization in ASD, including long-range underconnectivity, a greater left-over-right qEEG functional connectivity ratio, and short-range overconnectivity in ASD. CONCLUSIONS Clinical improvement and the absence of RPRs may be linked to variations in qEEG frequency bands and more optimized brain networks, resulting in more developmentally appropriate long-range connectivity links, primarily in the right hemisphere.
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Affiliation(s)
- Robert Melillo
- Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa 3498838, Israel
| | - Gerry Leisman
- Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa 3498838, Israel
- Department of Neurology, University of the Medical Sciences of Havana, Havana 10400, Cuba
| | - Calixto Machado
- Department of Clinical Neurophysiology, Institute for Neurology and Neurosurgery, Havana 10400, Cuba
| | - Yanin Machado-Ferrer
- Department of Clinical Neurophysiology, Institute for Neurology and Neurosurgery, Havana 10400, Cuba
| | | | - Ty Melillo
- Northeast College of the Health Sciences, Seneca Falls, New York, NY 13148, USA
| | - Eli Carmeli
- Movement and Cognition Laboratory, Department of Physical Therapy, University of Haifa, Haifa 3498838, Israel
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Camodeca A. Diagnostic Utility of the Gilliam Autism Rating Scales-3rd Edition Parent Report in Clinically Referred Children. J Autism Dev Disord 2022; 53:2112-2126. [PMID: 35244837 DOI: 10.1007/s10803-022-05483-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/09/2022] [Indexed: 11/29/2022]
Abstract
There is limited research regarding the Gilliam Autism Rating Scales-3rd Edition (GARS-3) despite its extensive use. A comprehensive diagnostic evaluation, including the Autism Diagnostic Observation Schedule-2nd Edition (ADOS-2) was provided to 186 clinically referred children suspected of autism ([Formula: see text] age = 8.98; Autism [AUT] n = 87; Not Autism [NOT] n = 99). Mean difference analyses, Logistic Regressions, and ROC analyses were non-significant for both Autism Index scores. The author-suggested cutoff score of 70 correctly classified approximately 47% of participants, with false positive rates = 82.83-87.88%. ADOS-2 correlations were significantly lower vis-à-vis the standardization sample. The Social Interaction subscale demonstrated weak, marginal results, and sensitivity/specificity could not be optimized. In its current form, the GARS-3 does not demonstrate adequate criterion validity for use in assessment of complex community samples.
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Affiliation(s)
- Amy Camodeca
- Psychology Department, The Pennsylvania State University, 100 University Drive, Monaca, PA, 15061, USA. .,University of Windsor, Windsor, ON, Canada. .,The Pennsylvania State University, Beaver Campus, 100 University Drive, Monaca, PA, 15108, USA.
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Al-Dewik N, Al-Jurf R, Styles M, Tahtamouni S, Alsharshani D, Alsharshani M, Ahmad AI, Khattab A, Al Rifai H, Walid Qoronfleh M. Overview and Introduction to Autism Spectrum Disorder (ASD). ADVANCES IN NEUROBIOLOGY 2020; 24:3-42. [PMID: 32006355 DOI: 10.1007/978-3-030-30402-7_1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder generally manifesting in the first few years of life and tending to persist into adolescence and adulthood. It is characterized by deficits in communication and social interaction and restricted, repetitive patterns of behavior, interests, and activities. It is a disorder with multifactorial etiology. In this chapter, we will focus on the most important and common epidemiological studies, pathogenesis, screening, and diagnostic tools along with an explication of genetic testing in ASD.
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Affiliation(s)
- Nader Al-Dewik
- Clinical and Metabolic Genetics Section, Pediatrics Department, Hamad General Hospital (HGH), Women's Wellness and Research Center (WWRC) and Interim Translational Research Institute (iTRI), Hamad Medical Corporation (HMC), Doha, Qatar. .,College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar. .,Faculty of Health and Social Care Sciences, Kingston University, St. George's University of London, London, UK.
| | - Rana Al-Jurf
- Department of Biomedical Science, College of Health Science, Qatar University, Doha, Qatar
| | - Meghan Styles
- Health Profession Awareness Program, Health Facilities Development, Hamad Medical Corporation (HMC), Doha, Qatar
| | - Sona Tahtamouni
- Child Development Center, Hamad Medical Corporation, Doha, Qatar
| | - Dalal Alsharshani
- College of Health and Life Sciences, Hamad Bin Khalifa University (HBKU), Doha, Qatar
| | - Mohammed Alsharshani
- Diagnostic Genetics Division (DGD), Department of Laboratory Medicine and Pathology (DLMP), Hamad Medical Corporation (HMC), Doha, Qatar
| | - Amal I Ahmad
- Qatar Rehabilitation Institute (QRI), Hamad Medical Corporation (HMC), Doha, Qatar
| | - Azhar Khattab
- Qatar Rehabilitation Institute (QRI), Hamad Medical Corporation (HMC), Doha, Qatar
| | - Hilal Al Rifai
- Department of Pediatrics and Neonatology, Newborn Screening Unit, Hamad Medical Corporation, Doha, Qatar
| | - M Walid Qoronfleh
- Research and Policy Department, World Innovation Summit for Health (WISH), Qatar Foundation, Doha, Qatar
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Marrus N, Hall LP, Paterson SJ, Elison JT, Wolff JJ, Swanson MR, Parish-Morris J, Eggebrecht AT, Pruett JR, Hazlett HC, Zwaigenbaum L, Dager S, Estes AM, Schultz RT, Botteron KN, Piven J, Constantino JN. Language delay aggregates in toddler siblings of children with autism spectrum disorder. J Neurodev Disord 2018; 10:29. [PMID: 30348077 PMCID: PMC6198516 DOI: 10.1186/s11689-018-9247-8] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 09/20/2018] [Indexed: 01/14/2023] Open
Abstract
BACKGROUND Language delay is extremely common in children with autism spectrum disorder (ASD), yet it is unclear whether measurable variation in early language is associated with genetic liability for ASD. Assessment of language development in unaffected siblings of children with ASD can inform whether decreased early language ability aggregates with inherited risk for ASD and serves as an ASD endophenotype. METHODS We implemented two approaches: (1) a meta-analysis of studies comparing language delay, a categorical indicator of language function, and language scores, a continuous metric, in unaffected toddlers at high and low familial risk for ASD, and (2) a parallel analysis of 350 unaffected 24-month-olds in the Infant Brain Imaging Study (IBIS), a prospective study of infants at high and low familial risk for ASD. An advantage of the former was its detection of group differences from pooled data across unique samples; an advantage of the latter was its sensitivity in quantifying early manifestations of language delay while accounting for covariates within a single large sample. RESULTS Meta-analysis showed that high-risk siblings without ASD (HR-noASD) were three to four times more likely to exhibit language delay versus low-risk siblings without ASD (LR-noASD) and had lower mean receptive and expressive language scores. Analyses of IBIS data corroborated that language delay, specifically receptive language delay, was more frequent in the HR-noASD (n = 235) versus LR-noASD group (n = 115). IBIS language scores were continuously and unimodally distributed, with a pathological shift towards decreased language function in HR-noASD siblings. The elevated inherited risk for ASD was associated with lower receptive and expressive language scores when controlling for sociodemographic factors. For receptive but not expressive language, the effect of risk group remained significant even when controlling for nonverbal cognition. CONCLUSIONS Greater frequency of language delay and a lower distribution of language scores in high-risk, unaffected toddler-aged siblings support decreased early language ability as an endophenotype for ASD, with a more pronounced effect for receptive versus expressive language. Further characterization of language development is warranted to refine genetic investigations of ASD and to elucidate factors influencing the progression of core autistic traits and related symptoms.
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Affiliation(s)
- N Marrus
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
| | - L P Hall
- Department of Psychology, St. Jude Children’s Research Hospital, 262 Danny Thomas Place, Mail Stop 740, Memphis, TN 38105 USA
| | - S J Paterson
- Department of Psychology, Temple University, 1801 N. Broad St, Philadelphia, PA 19122 USA
| | - J T Elison
- Institute of Child Development, University of Minnesota, 51 East River Parkway, Minneapolis, MN 55455 USA
| | - J J Wolff
- Department of Educational Psychology, University of Minnesota, 56 East River Road, Minneapolis, MN 55455 USA
| | - M R Swanson
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514 USA
| | - J Parish-Morris
- Children’s Hospital of Philadelphia, University of Pennsylvania, Civic Center Blvd, Philadelphia, PA 19104 USA
| | - A T Eggebrecht
- Mallinckrodt Institute of Radiology, Washington University School of Medicine, 660 S. Euclid Ave, St Louis, MO 63110 USA
| | - J R Pruett
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
| | - H C Hazlett
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514 USA
| | - L Zwaigenbaum
- Department of Pediatrics, University of Alberta, 1E1 Walter Mackenzie Health Sciences Centre (WMC), 8440 112 St NW, Edmonton, AB T6G 2B7 Canada
| | - S Dager
- Department of Radiology, University of Washington, Seattle, 1410 NE Campus Parkway, Seattle, WA 98195 USA
| | - A M Estes
- Department of Speech and Hearing Sciences, University of Washington, Seattle, 1701 NE Columbia Rd, Seattle, WA 98195-7920 USA
| | - R T Schultz
- Children’s Hospital of Philadelphia, University of Pennsylvania, Civic Center Blvd, Philadelphia, PA 19104 USA
| | - K N Botteron
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
| | - J Piven
- Department of Psychiatry, University of North Carolina at Chapel Hill, 101 Manning Dr, Chapel Hill, NC 27514 USA
| | - J N Constantino
- Department of Psychiatry, Washington University School of Medicine, 660 S. Euclid Ave, Box 8504, St Louis, MO 63110 USA
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Aiello R, Ruble L, Esler A. National Study of School Psychologists’ Use of Evidence-Based Assessment in Autism Spectrum Disorder. JOURNAL OF APPLIED SCHOOL PSYCHOLOGY 2016. [DOI: 10.1080/15377903.2016.1236307] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Ollington N. Comparison of a direct and an indirect approach for the functional assessment of insistence on sameness in a child with autism spectrum disorder and a typically developing child. Dev Neurorehabil 2016; 19:38-45. [PMID: 24724559 DOI: 10.3109/17518423.2014.898161] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
OBJECTIVE To compare indirect and direct functional assessment of insistence on sameness associated with autism spectrum disorder (ASD) and typical development. METHODS Parents rated the function of insistence on sameness for a 6-year-old boy with ASD (Peter) and a typically developing 4-year-old boy (Nathan) using the Motivation Assessment Scale (MAS). Ratings were compared to the results of a direct assessment. RESULTS The results of the assessment procedures were mainly consistent for Peter and suggested that his tendency to insist on sameness was maintained by sensory consequences. The finding of an attention function for Nathan in the play-based assessment was consistent with previous functional assessment studies surrounding typically developing children, but in contrast to the MAS. CONCLUSION While the play-based assessment may be more suitable for assessing the high rate insistence on sameness observed in individuals with ASD, the MAS may be more suitable for low rate insistence on sameness.
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Affiliation(s)
- Nadia Ollington
- a Faculty of Education , University of Tasmania , Tasmania , Australia
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Factor Structure, Internal Consistency, and Screening Sensitivity of the GARS-2 in a Developmental Disabilities Sample. AUTISM RESEARCH AND TREATMENT 2016; 2016:8243079. [PMID: 26981279 PMCID: PMC4770117 DOI: 10.1155/2016/8243079] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Accepted: 01/06/2016] [Indexed: 11/17/2022]
Abstract
The Gilliam Autism Rating Scale-Second Edition (GARS-2) is a widely used screening instrument that assists in the identification and diagnosis of autism. The purpose of this study was to examine the factor structure, internal consistency, and screening sensitivity of the GARS-2 using ratings from special education teaching staff for a sample of 240 individuals with autism or other significant developmental disabilities. Exploratory factor analysis yielded a correlated three-factor solution similar to that found in 2005 by Lecavalier for the original GARS. Though the three factors appeared to be reasonably consistent with the intended constructs of the three GARS-2 subscales, the analysis indicated that more than a third of the GARS-2 items were assigned to the wrong subscale. Internal consistency estimates met or exceeded standards for screening and were generally higher than those in previous studies. Screening sensitivity was .65 and specificity was .81 for the Autism Index using a cut score of 85. Based on these findings, recommendations are made for instrument revision.
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McConachie H, Parr JR, Glod M, Hanratty J, Livingstone N, Oono IP, Robalino S, Baird G, Beresford B, Charman T, Garland D, Green J, Gringras P, Jones G, Law J, Le Couteur AS, Macdonald G, McColl EM, Morris C, Rodgers J, Simonoff E, Terwee CB, Williams K. Systematic review of tools to measure outcomes for young children with autism spectrum disorder. Health Technol Assess 2015; 19:1-506. [PMID: 26065374 PMCID: PMC4781156 DOI: 10.3310/hta19410] [Citation(s) in RCA: 161] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
BACKGROUND The needs of children with autism spectrum disorder (ASD) are complex and this is reflected in the number and diversity of outcomes assessed and measurement tools used to collect evidence about children's progress. Relevant outcomes include improvement in core ASD impairments, such as communication, social awareness, sensory sensitivities and repetitiveness; skills such as social functioning and play; participation outcomes such as social inclusion; and parent and family impact. OBJECTIVES To examine the measurement properties of tools used to measure progress and outcomes in children with ASD up to the age of 6 years. To identify outcome areas regarded as important by people with ASD and parents. METHODS The MeASURe (Measurement in Autism Spectrum disorder Under Review) research collaboration included ASD experts and review methodologists. We undertook systematic review of tools used in ASD early intervention and observational studies from 1992 to 2013; systematic review, using the COSMIN checklist (Consensus-based Standards for the selection of health Measurement Instruments) of papers addressing the measurement properties of identified tools in children with ASD; and synthesis of evidence and gaps. The review design and process was informed throughout by consultation with stakeholders including parents, young people with ASD, clinicians and researchers. RESULTS The conceptual framework developed for the review was drawn from the International Classification of Functioning, Disability and Health, including the domains 'Impairments', 'Activity Level Indicators', 'Participation', and 'Family Measures'. In review 1, 10,154 papers were sifted - 3091 by full text - and data extracted from 184; in total, 131 tools were identified, excluding observational coding, study-specific measures and those not in English. In review 2, 2665 papers were sifted and data concerning measurement properties of 57 (43%) tools were extracted from 128 papers. Evidence for the measurement properties of the reviewed tools was combined with information about their accessibility and presentation. Twelve tools were identified as having the strongest supporting evidence, the majority measuring autism characteristics and problem behaviour. The patchy evidence and limited scope of outcomes measured mean these tools do not constitute a 'recommended battery' for use. In particular, there is little evidence that the identified tools would be good at detecting change in intervention studies. The obvious gaps in available outcome measurement include well-being and participation outcomes for children, and family quality-of-life outcomes, domains particularly valued by our informants (young people with ASD and parents). CONCLUSIONS This is the first systematic review of the quality and appropriateness of tools designed to monitor progress and outcomes of young children with ASD. Although it was not possible to recommend fully robust tools at this stage, the review consolidates what is known about the field and will act as a benchmark for future developments. With input from parents and other stakeholders, recommendations are made about priority targets for research. FUTURE WORK Priorities include development of a tool to measure child quality of life in ASD, and validation of a potential primary outcome tool for trials of early social communication intervention. STUDY REGISTRATION This study is registered as PROSPERO CRD42012002223. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Affiliation(s)
- Helen McConachie
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Jeremy R Parr
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Magdalena Glod
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Jennifer Hanratty
- School of Sociology, Social Policy and Social Work, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Nuala Livingstone
- School of Sociology, Social Policy and Social Work, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Inalegwu P Oono
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Shannon Robalino
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Gillian Baird
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | | | - Tony Charman
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Deborah Garland
- National Autistic Society North East Autism Resource Centre, Newcastle upon Tyne, UK
| | - Jonathan Green
- Institute of Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK
| | - Paul Gringras
- Guy's and St Thomas' NHS Foundation Trust, London, UK
| | - Glenys Jones
- School of Education, University of Birmingham, Birmingham, UK
| | - James Law
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Ann S Le Couteur
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Geraldine Macdonald
- School of Sociology, Social Policy and Social Work, Queen's University Belfast, Belfast, Northern Ireland, UK
| | - Elaine M McColl
- Institute of Health and Society, Newcastle University, Newcastle upon Tyne, UK
| | - Christopher Morris
- PenCRU, Child Health Group, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Jacqueline Rodgers
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Emily Simonoff
- Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - Caroline B Terwee
- Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
| | - Katrina Williams
- University of Melbourne, Royal Children's Hospital and Murdoch Childrens Research Institute, Melbourne, Australia
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Hathorn C, Alateeqi N, Graham C, O'Hare A. Impact of adherence to best practice guidelines on the diagnostic and assessment services for autism spectrum disorder. J Autism Dev Disord 2014; 44:1859-66. [PMID: 24573334 DOI: 10.1007/s10803-014-2057-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Despite their range and complexity, adherence to Scottish Intercollegiate Guidelines Network guideline for the diagnosis and assessment of autism spectrum disorders (ASD) was shown to be high within child development and specialist diagnostic clinics serving a geographical cohort of children diagnosed under the age of 7 years. A retrospective analysis of comprehensive clinical notes demonstrated that the recommended discretionary use of structured history instruments was increased after medical training (p = 0.003). 56% (51/90) of children received the diagnosis of ASD at their initial specialist appointment. 51% underwent the recommended discretionary structured observational instrument. This further assessment was more likely to be required for older children in the reaudited group (p = 0.001). The implications for service capacity planning when delivering best practice recommendations are discussed.
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Goldstein S, Naglieri JA, Rzepa S, Williams KM. A National Study of Autistic Symptoms in the General Population of School-Age Children and Those Diagnosed with Autism Spectrum Disorders. PSYCHOLOGY IN THE SCHOOLS 2012. [DOI: 10.1002/pits.21650] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
| | - Jack A. Naglieri
- University of Virginia and The Devereux Center for Resilient Children
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