Protocole pour une revue systématique évaluant les propriétés psychométriques et l'(in)variance de mesure liée au genre des outils d'évaluation autoadministrés de l'autisme chez les adultes

Titre original en anglais : Protocol for a systematic review evaluating psychometric properties and gender-related measurement (non)invariance of self-report assessment tools for autism in adults

Cette publication est incluse dans le projet « Contributions académiques de personnes autistes sur l’autisme ». un auteur·ice de cette publication est identifié·e comme autiste dans le projet.

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Uglik-Marucha, N., Mason, D., Belcher, H., Happé, F., & Vitoratou, S. (2024). Protocol for a systematic review evaluating psychometric properties and gender-related measurement (non)invariance of self-report assessment tools for autism in adults. Systematic Reviews, 13(1), 188-188. https://doi.org/10.1186/s13643-024-02604-2

Date de publication: 19/07/2024 Ajout dans AutiHub: 08/09/2026 Type: Article Langue de l’article: Anglais
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Auteurs

Auteur·ices des publications
5
Auteur·ices de la publication identifié·es comme autistes
1 / 5 (20,0 %)
  1. Nora Uglik-Marucha
  2. David Mason
  3. Hannah Belcher *
  4. Francesca Happé
  5. Silia Vitoratou

Résumé

Résumé Contexte Compte tenu des données récentes sur les différences de genre dans la présentation de l'autisme, on s'inquiète de plus en plus du fait que les outils actuels pour l'autisme ne saisissent pas adéquatement les traits plus fréquemment observés chez les femmes. Si les outils pour l'autisme mesurent les traits autistiques différemment en fonction du seul genre, leur validité peut être compromise, car ils peuvent ne pas mesurer le même construit selon les genres. Les études d'invariance de mesure des mesures de l'autisme peuvent aider à évaluer la validité des construits de l'autisme pour différents genres. L'objectif de cette revue systématique est d'identifier et d'évaluer de manière critique les propriétés psychométriques de tous les outils autoadministrés pour l'autisme chez les adultes qui répondent à deux critères : (a) ils ont été publiés depuis les recommandations NICE (2014) ou y ont été inclus, et (b) ils ont fait l'objet d'études d'invariance de mesure liée au genre dans le cadre de leur processus de validation. Méthodes Une recherche dans les bases de données électroniques sera effectuée de 2014 à aujourd'hui dans MEDLINE, Embase et PsycINFO, à l'aide de termes de recherche prédéfinis, afin d'identifier les études admissibles. La recherche de littérature grise inclura des sources telles que OpenGrey, APA PsycEXTRA et Scopus. Deux évaluateurs examineront indépendamment les titres, les résumés et les textes intégraux afin de déterminer leur admissibilité. Les références des études incluses seront examinées afin d'identifier des notices supplémentaires. La qualité méthodologique des études sera évaluée à l'aide de la liste de contrôle COSMIN Risk of Bias, tandis que la qualité psychométrique des résultats sera évaluée sur la base de critères relatifs aux bonnes propriétés de mesure et de la liste de contrôle ConPsy. La qualité de l'ensemble des données probantes sera évaluée à l'aide de l'approche décrite dans les lignes directrices GRADE modifiées. Discussion Cette revue systématique figurera parmi les premières à évaluer les propriétés psychométriques et l'invariance de mesure liée au genre des mesures autoadministrées de l'autisme chez les adultes qui ont été publiées depuis les lignes directrices NICE (2014), ou y ont été incluses. La revue formulera des recommandations concernant l'outil le plus approprié pour évaluer l'autisme sans biais de genre. Si aucune mesure de ce type n'est trouvée, elle identifiera les outils existants présentant des propriétés psychométriques prometteuses qui nécessitent des tests supplémentaires, ou suggérera l'élaboration d'une nouvelle mesure. Enregistrement de la revue systématique Le protocole a été enregistré auprès du Registre prospectif international des revues systématiques (PROSPERO). Le numéro d'enregistrement est CRD42023429350.

Abstract Background Given the recent evidence on gender differences in the presentation of autism, there is an increasing concern that current tools for autism do not adequately capture traits more often found in women. If tools for autism measure autistic traits differently based on gender alone, their validity may be compromised as they may not be measuring the same construct across genders. Measurement invariance investigations of autism measures can help assess the validity of autism constructs for different genders. The aim of this systematic review is to identify and critically appraise the psychometric properties of all self-report tools for autism in adults that meet two criteria: (a) they have been published since or included in the NICE (2014) recommendations, and (b) they have undergone gender-related measurement invariance investigations as part of their validation process. Methods A search of electronic databases will be conducted from 2014 until the present using MEDLINE, Embase, and PsycINFO using predefined search terms to identify eligible studies. The search for grey literature will include sources such as OpenGrey, APA PsycEXTRA, and Scopus. Two reviewers will independently screen titles, abstracts, and full texts for eligibility. The references of included studies will be searched for additional records. The methodological quality of the studies will be evaluated using the COSMIN Risk of Bias checklist, while psychometric quality of findings will be assessed based on criteria for good measurement properties and ConPsy checklist. The quality of the total body of evidence will be appraised using the approach outlined in the modified GRADE guidelines. Discussion This systematic review will be among the first to assess the psychometric properties and gender-related measurement invariance of self-reported measures for autism in adults that were published since (or included in) NICE (2014) guidelines. The review will provide recommendations for the most suitable tool to assess for autism without gender bias. If no such measure is found, it will identify existing tools with promising psychometric properties that require further testing, or suggest developing a new measure. Systematic review registration The protocol has been registered at the International Prospective Register of Systematic Reviews (PROSPERO). The registration number is CRD42023429350.

Bibliographie citée par cette référence

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Vue d’ensemble de la bibliographie citée

Ces indicateurs décrivent la bibliographie citée par cette publication. Un nom d’auteurice est compté chaque fois qu’il apparaît dans une référence citée : une même personne peut donc être comptée plusieurs fois. Les noms qui ne sont pas encore associés à un·e auteurice déjà présent·e dans AutiHub sont traités comme inconnus, pas comme non autistes. Dernier calcul : 12/09/2026 01:04.

Références citées
80
Avec un DOI
72
Sans DOI, à partir du texte brut de la bibliographie
8
3 / 80 (3,8 %) références citées comprennent au moins une personne identifiée comme autiste.
Références avec données à compléter
5 / 80 (6,2 %)
Références avec noms d’auteurices détectés
78 / 80 (97,5 %)
Sans nom d’auteurice détecté
2
Sans titre structuré
4
Sans identifiant stable
8
Références avec noms bruts d’auteurices restant à vérifier
1
Références avec problème de récupération des métadonnées externes
0
Ces indicateurs portent sur les références citées affichées sur cette page, après fusion des doublons techniques. Une référence sans DOI peut quand même soutenir les statistiques d’auteurices lorsqu’un titre et des noms d’auteurices sont disponibles.
Noms d’auteurices détectés dans la bibliographie citée
368
À partir du DOI ou de métadonnées externes
368
À partir du texte brut validé de la bibliographie
0
Noms bruts déjà validés
0
Noms bruts restant à vérifier
1
73 / 368 (19,8 %) noms sont associés à un·e auteurice déjà présent·e dans AutiHub. 295 / 368 (80,2 %) noms ne sont pas encore associés.
Noms associés à une personne identifiée comme autiste
3 / 368 (0,8 %)
Calculé sur l’ensemble des noms d’auteurices détectés dans la bibliographie citée. Parmi les noms associés à un·e auteurice déjà présent·e dans AutiHub : 3 / 73 (4,1 %). Personnes distinctes identifiées comme autistes : 3 / 317 (0,9 %).
  1. Brown T. A. (2007). Confirmatory factor analysis for applied research . Choice Reviews Online, 44(05), 44-2769-44-2769. American Library Association.
    Type: Article DOI: 10.5860/choice.44-2769 OpenAlex: https://openalex.org/W1815596065
    OpenAlex
  3. Henry Wood‐Downie , Bonnie Wong , Hanna Kovshoff , Samuele Cortese , Julie A. Hadwin (2021). Research Review: A systematic review and meta‐analysis of sex/gender differences in social interaction and communication in autistic and nonautistic children and adolescents . Journal of Child Psychology and Psychiatry, 62(8), 922-936. Wiley.
    Type: Article DOI: 10.1111/jcpp.13337 OpenAlex: https://openalex.org/W3095775465
    Crossref OpenAlex OpenCitations
  4. L. L. Thurstone (1928). Attitudes Can Be Measured . American Journal of Sociology, 33(4), 529-554. University of Chicago Press.
    Type: Article DOI: 10.1086/214483 OpenAlex: https://openalex.org/W1970133260
    Crossref OpenAlex OpenCitations
  5. Shafali S. Jeste , Daniel H. Geschwind (2014). Disentangling the heterogeneity of autism spectrum disorder through genetic findings . Nature Reviews Neurology, 10(2), 74-81. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1038/nrneurol.2013.278 OpenAlex: https://openalex.org/W1984331840
    Crossref OpenAlex OpenCitations
  6. Christopher D. Nye , Fritz Drasgow (2011). Effect size indices for analyses of measurement equivalence: Understanding the practical importance of differences between groups. Journal of Applied Psychology, 96(5), 966-980. American Psychological Association (APA).
    Type: Article DOI: 10.1037/a0022955 OpenAlex: https://openalex.org/W1977999471
    Crossref OpenAlex OpenCitations
  7. Francisco Jesús Martinez‐Murcia , Meng-Chuan Lai , Juan Manuel Górriz , Javier Ramírez , Adam M. H. Young , Sean C. L. Deoni et al. (2017). On the brain structure heterogeneity of autism: Parsing out acquisition site effects with significance‐weighted principal component analysis . Human Brain Mapping, 38(3), 1208-1223. Wiley.
    Type: Article DOI: 10.1002/hbm.23449 OpenAlex: https://openalex.org/W2542352894
    Crossref OpenAlex OpenCitations
  8. Robert J. Vandenberg , Charles E. Lance (2000). A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research . Organizational Research Methods, 3(1), 4-70. SAGE Publications.
    Type: Article DOI: 10.1177/109442810031002 OpenAlex: https://openalex.org/W2130653485
    Crossref OpenAlex OpenCitations
  9. AAS Goldani (2014). Goldani AAS, Downs SR, Widjaja F, Lawton B, Hendren RL. Biomarkers in autism. Front. Psychiatry. 2014;5:100. Psychiatry, 5, 100.
    Type: Autre
    Crossref
  10. González Moreno, Andrés Santiago (2013). Diagnostic and Statistical Manual of Mental Disorders . American Psychiatric Association.
    Type: Livre DOI: 10.1176/appi.books.9780890425596 OpenAlex: https://openalex.org/W4247665917
    Crossref OpenAlex OpenCitations
  11. Svenny Kopp , Christopher Gillberg (2011). The Autism Spectrum Screening Questionnaire (ASSQ)-Revised Extended Version (ASSQ-REV): An instrument for better capturing the autism phenotype in girls? A preliminary study involving 191 clinical cases and community controls . Research in Developmental Disabilities, 32(6), 2875-2888. Elsevier BV.
    Type: Article DOI: 10.1016/j.ridd.2011.05.017 OpenAlex: https://openalex.org/W1985931298
    Crossref OpenAlex OpenCitations
  12. Judith Gould (2017). Towards understanding the under-recognition of girls and women on the autism spectrum . Autism, 21(6), 703-705. SAGE Publications.
    Type: Article DOI: 10.1177/1362361317706174 OpenAlex: https://openalex.org/W2740451639
    Crossref OpenAlex OpenCitations
  13. Lidwine B Mokkink , Caroline B Terwee , Dirk L Knol , Paul W Stratford , Jordi Alonso , Donald L Patrick et al. (2010). The COSMIN checklist for evaluating the methodological quality of studies on measurement properties: A clarification of its content . BMC Medical Research Methodology, 10(1), 22. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1186/1471-2288-10-22 OpenAlex: https://openalex.org/W2156741466
    Crossref OpenAlex OpenCitations
  14. Adam W. Meade (2010). A taxonomy of effect size measures for the differential functioning of items and scales. Journal of Applied Psychology, 95(4), 728-743. American Psychological Association (APA).
    Type: Article DOI: 10.1037/a0018966 OpenAlex: https://openalex.org/W1986031600
    Crossref OpenAlex OpenCitations
  15. Melissa Kirkovski , Peter G. Enticott , Paul B. Fitzgerald (2013). A Review of the Role of Female Gender in Autism Spectrum Disorders . Journal of Autism and Developmental Disorders, 43(11), 2584-2603. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1007/s10803-013-1811-1 OpenAlex: https://openalex.org/W2053496010
    Crossref OpenAlex OpenCitations
  16. Steven E. Gregorich (2006). Do Self-Report Instruments Allow Meaningful Comparisons Across Diverse Population Groups? Medical Care, 44(Suppl 3), S78-S94. Ovid Technologies (Wolters Kluwer Health).
    Type: Article DOI: 10.1097/01.mlr.0000245454.12228.8f OpenAlex: https://openalex.org/W2084062768
    Crossref OpenAlex OpenCitations
  17. John L. Horn , J. J. Mcardle (1992). A practical and theoretical guide to measurement invariance in aging research . Experimental Aging Research, 18(3), 117-144. Informa UK Limited.
    Type: Article DOI: 10.1080/03610739208253916 OpenAlex: https://openalex.org/W2010699191
    Crossref OpenAlex OpenCitations
  18. Ginny Russell , Sal Stapley , Tamsin Newlove‐Delgado , Andrew Salmon , Rhianna White , Fiona Warren et al. (2022). Time trends in autism diagnosis over 20 years: a UK population‐based cohort study . Journal of Child Psychology and Psychiatry, 63(6), 674-682. Wiley.
    Type: Article DOI: 10.1111/jcpp.13505 OpenAlex: https://openalex.org/W3193769374
    Crossref OpenAlex OpenCitations
  19. Karl G. Jöreskog , Arthur S. Goldberger (1975). Estimation of a model with multiple indicators and multiple causes of a single latent Variable . J Am Stat Assoc, 70(351a), 631. Informa UK Limited.
    Type: Article DOI: 10.1080/01621459.1975.10482485 OpenAlex: https://openalex.org/W2021641691
    Crossref OpenAlex OpenCitations
  20. Éric Fombonne (2009). Epidemiology of Pervasive Developmental Disorders . Pediatric Research, 65(6), 591-598. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1203/pdr.0b013e31819e7203 OpenAlex: https://openalex.org/W2143333975
    Crossref OpenAlex OpenCitations
  21. Ginny Russell , Colin Steer , Jean Golding (2011). Social and demographic factors that influence the diagnosis of autistic spectrum disorders . Social Psychiatry and Psychiatric Epidemiology, 46(12), 1283-1293. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1007/s00127-010-0294-z OpenAlex: https://openalex.org/W2033129979
    Crossref OpenAlex OpenCitations
  22. K. G. Jöreskog (1971). Simultaneous Factor Analysis in Several Populations . Psychometrika, 36(4), 409-426. Cambridge University Press (CUP).
    Type: Article DOI: 10.1007/bf02291366 OpenAlex: https://openalex.org/W2041094138
    Crossref OpenAlex OpenCitations
  23. Matthew J. Maenner , Zachary Warren , Ashley Robinson Williams , Esther Amoakohene , Amanda V. Bakian , Deborah A. Bilder et al. (2023). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2020. Surveillance Summaries, 72(2), 1-14. Centers for Disease Control MMWR Office.
    Type: Article DOI: 10.15585/mmwr.ss7202a1 OpenAlex: https://openalex.org/W4360600181
    Crossref OpenAlex OpenCitations
  25. William Meredith , Jeanne A. Teresi (2006). An Essay on Measurement and Factorial Invariance . Medical Care, 44(Suppl 3), S69-S77. Ovid Technologies (Wolters Kluwer Health).
    Type: Article DOI: 10.1097/01.mlr.0000245438.73837.89 OpenAlex: https://openalex.org/W2042748046
    Crossref OpenAlex OpenCitations
  26. Marco Solmi , Minjin Song , Dong Keon Yon , Seung Won Lee , Éric Fombonne , Min Seo Kim et al. (2022). Incidence, prevalence, and global burden of autism spectrum disorder from 1990 to 2019 across 204 countries . Molecular Psychiatry, 27(10), 4172-4180. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1038/s41380-022-01630-7 OpenAlex: https://openalex.org/W4283708788
    Crossref OpenAlex OpenCitations
  27. Péter Szatmári , Xiao‐Qing Liu , Jeremy Goldberg , Lonnie Zwaigenbaum , Andrew D. Paterson , Marc Woodbury-Smith et al. (2012). Sex differences in repetitive stereotyped behaviors in autism: Implications for genetic liability . American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 159B(1), 5-12. Wiley.
    Type: Article DOI: 10.1002/ajmg.b.31238 OpenAlex: https://openalex.org/W2043456157
    Crossref OpenAlex OpenCitations
  28. Rachel Loomes , Laura Hull , Will Mandy (2017). What Is the Male-to-Female Ratio in Autism Spectrum Disorder? A Systematic Review and Meta-Analysis . Journal of the American Academy of Child & Adolescent Psychiatry, 56(6), 466-474. Elsevier BV.
    Type: Article DOI: 10.1016/j.jaac.2017.03.013 OpenAlex: https://openalex.org/W2604697269
    Crossref OpenAlex OpenCitations
  29. Patricia J. M. Van Wijngaarden-Cremers , Evelien van Eeten , Wouter B. Groen , Patricia A. Van Deurzen , Iris J. Oosterling , Rutger Jan Van der Gaag (2014). Gender and Age Differences in the Core Triad of Impairments in Autism Spectrum Disorders: A Systematic Review and Meta-analysis . Journal of Autism and Developmental Disorders, 44(3), 627-635. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1007/s10803-013-1913-9 OpenAlex: https://openalex.org/W2070034706
    Crossref OpenAlex OpenCitations
  30. Thomas W Frazier , Stelios Georgiades , Somer Bishop , Antonio Y. Hardan (2014). Behavioral and Cognitive Characteristics of Females and Males With Autism in the Simons Simplex Collection . Journal of the American Academy of Child & Adolescent Psychiatry, 53(3), 329-340.e3. Elsevier BV.
    Type: Article DOI: 10.1016/j.jaac.2013.12.004 OpenAlex: https://openalex.org/W2049713670
    Crossref OpenAlex OpenCitations
  31. Lucy Barnard-Brak , David Richman , M. Hasan Almekdash (2019). How many girls are we missing in ASD? An examination from a clinic- and community-based sample . Advances in Autism, 5(3), 214-224. Emerald.
    Type: Article DOI: 10.1108/aia-11-2018-0048 OpenAlex: https://openalex.org/W2921541255
    Crossref OpenAlex OpenCitations
  32. Sara Cruz , Sabela Conde-Pumpido Zubizarreta , Ana Daniela Costa , Rita Araújo , Júlia Martinho , María Tubío Fungueiriño et al. (2025). Is There a Bias Towards Males in the Diagnosis of Autism? A Systematic Review and Meta-Analysis . Neuropsychology Review, 35(1), 153-176. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1007/s11065-023-09630-2 OpenAlex: https://openalex.org/W4391317798
    Crossref OpenAlex OpenCitations
  33. Jacob Cohen (1960). A Coefficient of Agreement for Nominal Scales . Educational and Psychological Measurement, 20(1), 37-46. SAGE Publications.
    Type: Article DOI: 10.1177/001316446002000104 OpenAlex: https://openalex.org/W2053154970
    Crossref OpenAlex OpenCitations
  34. Zarnie Khadjesari , Sabah Boufkhed , Silia Vitoratou , Laura Schatte , Alexandra Ziemann , Christina Daskalopoulou et al. (2020). Implementation outcome instruments for use in physical healthcare settings: a systematic review . Implementation Science, 15(1), 66. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1186/s13012-020-01027-6 OpenAlex: https://openalex.org/W3063560172
    Crossref OpenAlex OpenCitations
  35. Meng-Chuan Lai , Michael Lombardo , Bonnie Auyeung , Bhismadev Chakrabarti , Simon Baron-Cohen (2015). Sex/Gender Differences and Autism: Setting the Scene for Future Research . Journal of the American Academy of Child & Adolescent Psychiatry, 54(1), 11-24. Elsevier BV.
    Type: Article DOI: 10.1016/j.jaac.2014.10.003 OpenAlex: https://openalex.org/W2069328123
    Crossref OpenAlex OpenCitations
  36. Meng-Chuan Lai , Simon Baron-Cohen (2015). Identifying the lost generation of adults with autism spectrum conditions . The Lancet Psychiatry, 2(11), 1013-1027. Elsevier BV.
    Type: Article DOI: 10.1016/s2215-0366(15)00277-1 OpenAlex: https://openalex.org/W2128937542
    Crossref OpenAlex OpenCitations
  37. Laura Hull , Will Mandy , K.V. Petrides (2017). Behavioural and cognitive sex/gender differences in autism spectrum condition and typically developing males and females . Autism, 21(6), 706-727. SAGE Publications.
    Type: Article DOI: 10.1177/1362361316669087 OpenAlex: https://openalex.org/W2620634929
    Crossref OpenAlex OpenCitations
  38. Hannah Edwards , Sarah Wright , Cora Sargeant , Samuele Cortese , Henry Wood‐Downie (2024). Research Review: A systematic review and meta‐analysis of sex differences in narrow constructs of restricted and repetitive behaviours and interests in autistic children, adolescents, and adults . Journal of Child Psychology and Psychiatry, 65(1), 4-17. Wiley.
    Type: Article DOI: 10.1111/jcpp.13855 OpenAlex: https://openalex.org/W4385158484
    Crossref OpenAlex OpenCitations
  39. A. Baghdadli , F. Russet , Laurent Mottron (2017). Measurement properties of screening and diagnostic tools for autism spectrum adults of mean normal intelligence: A systematic review . European Psychiatry, 44, 104-124. Cambridge University Press (CUP).
    Type: Article DOI: 10.1016/j.eurpsy.2017.04.009 OpenAlex: https://openalex.org/W2614849798
    Crossref OpenAlex OpenCitations
  40. Simon Baron-Cohen , Sally Wheelwright , Richard Skinner , Joanne Martin , Emma Clubley (2001). The Autism-Spectrum Quotient (AQ): Evidence from Asperger Syndrome/High-Functioning Autism, Males and Females, Scientists and Mathematicians . Journal of Autism and Developmental Disorders, 31(1), 5-17. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1023/a:1005653411471 OpenAlex: https://openalex.org/W2100254283
    Crossref OpenAlex OpenCitations
  41. Laura Hull , K.V. Petrides , Will Mandy (2020). The Female Autism Phenotype and Camouflaging: a Narrative Review . Review Journal of Autism and Developmental Disorders, 7(4), 306-317. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1007/s40489-020-00197-9 OpenAlex: https://openalex.org/W3004137504
    Crossref OpenAlex OpenCitations
  42. Christian Welzel , Lennart Brunkert , Stefan Kruse , Ronald F. Inglehart (2023). Non-invariance? An Overstated Problem With Misconceived Causes . Sociological Methods & Research, 52(3), 1368-1400. SAGE Publications.
    Type: Article DOI: 10.1177/0049124121995521 OpenAlex: https://openalex.org/W3139412137
    Crossref OpenAlex OpenCitations
  43. Carrie Allison , Bonnie Auyeung , Simon Baron-Cohen (2012). Toward Brief “Red Flags” for Autism Screening: The Short Autism Spectrum Quotient and the Short Quantitative Checklist in 1,000 Cases and 3,000 Controls . Journal of the American Academy of Child & Adolescent Psychiatry, 51(2), 202-212.e7. Elsevier BV.
    Type: Article DOI: 10.1016/j.jaac.2011.11.003 OpenAlex: https://openalex.org/W2100429511
    Crossref OpenAlex OpenCitations
  44. H. Young , M.-J. Oreve , M. Speranza (2018). Clinical characteristics and problems diagnosing autism spectrum disorder in girls . Archives de Pédiatrie, 25(6), 399-403. Elsevier BV.
    Type: Article DOI: 10.1016/j.arcped.2018.06.008 OpenAlex: https://openalex.org/W2888232445
    Crossref OpenAlex OpenCitations
  45. Reinie Cordier , Renée Speyer , Yu-Wei Chen , Sarah Wilkes-Gillan , Ted Brown , Helen Bourke-Taylor et al. (2015). Evaluating the Psychometric Quality of Social Skills Measures: A Systematic Review . PLOS ONE, 10(7), e0132299. Public Library of Science (PLoS).
    Type: Article DOI: 10.1371/journal.pone.0132299 OpenAlex: https://openalex.org/W2104342447
    Crossref OpenAlex OpenCitations
  46. Caroline B. Terwee , Sandra D.M. Bot , Michael R. de Boer , Daniëlle A.W.M. van der Windt , Dirk L. Knol , Joost Dekker et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires . Journal of Clinical Epidemiology, 60(1), 34-42. Elsevier BV.
    Type: Article DOI: 10.1016/j.jclinepi.2006.03.012 OpenAlex: https://openalex.org/W2115988342
    Crossref OpenAlex OpenCitations
  47. Catherine Lord (2012). Autism diagnostic observation schedule, (ADOS-2) modules 1–4. Western Psychological Services . Autism diagnostic observation schedule, (ADOS-2) modules 1–4. Western Psychological Services.
    Type: Autre
    Crossref
  48. Bart Meuleman , Tomasz Żółtak , Artur Pokropek , Eldad Davidov , Bengt Muthén , Daniel L. Oberski et al. (2023). Why Measurement Invariance is Important in Comparative Research. A Response to Welzel et al. (2021) . Sociological Methods & Research, 52(3), 1401-1419. SAGE Publications.
    Type: Article DOI: 10.1177/00491241221091755 OpenAlex: https://openalex.org/W4224229748
    Crossref OpenAlex OpenCitations
  49. Kaustubh Supekar , Vinod Menon (2015). Sex differences in structural organization of motor systems and their dissociable links with repetitive/restricted behaviors in children with autism . Molecular Autism, 6(1), 50. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1186/s13229-015-0042-z OpenAlex: https://openalex.org/W2161814901
    Crossref OpenAlex OpenCitations
  50. Andre A. S. Goldani , Susan R. Downs , Felicia Widjaja , Brittany Lawton , Robert L. Hendren (2014). Biomarkers in Autism . Frontiers in Psychiatry, 5, 100-100. Frontiers Media SA.
    Type: Article DOI: 10.3389/fpsyt.2014.00100 OpenAlex: https://openalex.org/W2134787854
    OpenAlex
  51. Cecilia A. C. Prinsen , Sunita Vohra , Michael R. Rose , Maarten Boers , Peter Tugwell , Mike Clarke et al. (2016). How to select outcome measurement instruments for outcomes included in a “Core Outcome Set” – a practical guideline . Trials, 17(1), 449. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1186/s13063-016-1555-2 OpenAlex: https://openalex.org/W2519102334
    Crossref OpenAlex OpenCitations
  52. C. A. C. Prinsen , L. B. Mokkink , L. M. Bouter , J. Alonso , D. L. Patrick , H. C. W. de Vet et al. (2018). COSMIN guideline for systematic reviews of patient-reported outcome measures . Quality of Life Research, 27(5), 1147-1157. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1007/s11136-018-1798-3 OpenAlex: https://openalex.org/W2793320726
    Crossref OpenAlex OpenCitations
  53. PRISMA-P Group , David Moher , Larissa Shamseer , Mike Clarke , Davina Ghersi , Alessandro Liberati et al. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement . Systematic Reviews, 4(1), 1. Springer Science and Business Media LLC.
    Type: Article DOI: 10.1186/2046-4053-4-1 OpenAlex: https://openalex.org/W2161374186
    Crossref OpenAlex OpenCitations
  54. Tania Mahendiran , Jessica Brian , Annie Dupuis , Nadia Muhe , Pui-Ying Wong , Alana Iaboni et al. (2019). Meta-Analysis of Sex Differences in Social and Communication Function in Children With Autism Spectrum Disorder and Attention-Deficit/Hyperactivity Disorder . Frontiers in Psychiatry, 10, 804. Frontiers Media SA.
    Type: Article DOI: 10.3389/fpsyt.2019.00804 OpenAlex: https://openalex.org/W2983934815
    Crossref OpenAlex OpenCitations
  55. Sarah Wigham , Jacqui Rodgers , Tom Berney , Ann Le Couteur , Barry Ingham , Jeremy R Parr (2019). Psychometric properties of questionnaires and diagnostic measures for autism spectrum disorders in adults: A systematic review . Autism, 23(2), 287-305. SAGE Publications.
    Type: Article DOI: 10.1177/1362361317748245 OpenAlex: https://openalex.org/W2790199439
    Crossref OpenAlex OpenCitations
  56. Renée Speyer , Reinie Cordier , Berit Kertscher , Bas J Heijnen (2014). Psychometric Properties of Questionnaires on Functional Health Status in Oropharyngeal Dysphagia: A Systematic Literature Review . BioMed Research International, 2014, 1-11. Hindawi Limited.
    Type: Article DOI: 10.1155/2014/458678 OpenAlex: https://openalex.org/W2165139371
    OpenAlex
  57. O Gonzalez (2021). Gonzalez O, Pelham WE. When does differential item functioning matter for screening? A method for empirical evaluation Assessment. 2021;28(2):446–56. A method for empirical evaluation Assessment, 28(2), 446.
    Type: Autre
    Crossref
  58. Diane L. Putnick , Marc H. Bornstein (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research . Developmental Review, 41, 71-90. Elsevier BV.
    Type: Article DOI: 10.1016/j.dr.2016.06.004 OpenAlex: https://openalex.org/W2469775770
    Crossref OpenAlex OpenCitations
  59. Lidwine B. Mokkink , Caroline B. Terwee , Donald L. Patrick , Jordi Alonso , Paul W. Stratford , Dirk L. Knol et al. (2010). The COSMIN study reached international consensus on taxonomy, terminology, and definitions of measurement properties for health-related patient-reported outcomes . Journal of Clinical Epidemiology, 63(7), 737-745. Elsevier BV.
    Type: Article DOI: 10.1016/j.jclinepi.2010.02.006 OpenAlex: https://openalex.org/W2171762906
    Crossref OpenAlex OpenCitations
  60. Heather J. Gunn , Kevin J. Grimm , Michael C. Edwards (2020). Evaluation of Six Effect Size Measures of Measurement Non-Invariance for Continuous Outcomes . Structural Equation Modeling: A Multidisciplinary Journal, 27(4), 503-514. Informa UK Limited.
    Type: Article DOI: 10.1080/10705511.2019.1689507 OpenAlex: https://openalex.org/W2987893683
    Crossref OpenAlex OpenCitations
  61. Louis Tay , Adam W Meade , Mengyang Cao (2015). An Overview and Practical Guide to IRT Measurement Equivalence Analysis . Organizational Research Methods, 18(1), 3-46. SAGE Publications.
    Type: Article DOI: 10.1177/1094428114553062 OpenAlex: https://openalex.org/W2320111878
    Crossref OpenAlex OpenCitations
  62. TA Brown (2015). Confirmatory factor analysis for applied research . Confirmatory factor analysis for applied research.
    Type: Autre
    Crossref
  63. Ajay V. Somaraju , Christopher D. Nye , Jeffrey Olenick (2022). A Review of Measurement Equivalence in Organizational Research: What's Old, What's New, What's Next? Organizational Research Methods, 25(4), 741-785. SAGE Publications.
    Type: Article DOI: 10.1177/10944281211056524 OpenAlex: https://openalex.org/W4200058474
    Crossref OpenAlex OpenCitations
  64. D. Loureiro , J.L. Pio-Abreu , A. Machado , R. Gonçalves , J. Cerejeira (2015). Instruments for the Assessment of Autism Spectrum Disorders in Adults Without Intellectual Disabilities: a Systematic Review . European Psychiatry, 30, 1857. Cambridge University Press (CUP).
    Type: Article DOI: 10.1016/s0924-9338(15)31421-8 OpenAlex: https://openalex.org/W2474235083
    Crossref OpenAlex OpenCitations
  65. RE Millsap (2007). Factor analysis at 100: historical developments and future directions . Factor analysis at 100: historical developments and future directions.
    Type: Autre
    Crossref
  66. Aja Louise Murray , Tom Booth , Bonnie Auyeung , Karen McKenzie , Renate Kuenssberg (2019). Investigating Sex Bias in the AQ-10: A Replication Study . Assessment, 26(8), 1474-1479. SAGE Publications.
    Type: Article DOI: 10.1177/1073191117733548 OpenAlex: https://openalex.org/W2758684098
    Crossref OpenAlex OpenCitations
  67. Keith F. Widaman , Steven P. Reise (1997). Exploring the measurement invariance of psychological instruments: Applications in the substance use domain. Dans In: The science of prevention: methodological advances from alcohol and substance abuse research (pp. 281-324). American Psychological Association.
    Type: Chapitre de livre DOI: 10.1037/10222-009 OpenAlex: https://openalex.org/W2485710272
    Crossref OpenAlex OpenCitations
  68. Heinz Leitgöb , Daniel Seddig , Tihomir Asparouhov , Dorothée Behr , Eldad Davidov , Kim De Roover et al. (2023). Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives . Social Science Research, 110, 102805. Elsevier BV.
    Type: Article DOI: 10.1016/j.ssresearch.2022.102805 OpenAlex: https://openalex.org/W4307898740
    Crossref OpenAlex OpenCitations
  69. Alexander Robitzsch , Oliver Lüdtke (2023). Why Full, Partial, or Approximate Measurement Invariance Are Not a Prerequisite for Meaningful and Valid Group Comparisons . Structural Equation Modeling: A Multidisciplinary Journal, 30(6), 859-870. Informa UK Limited.
    Type: Article DOI: 10.1080/10705511.2023.2191292 OpenAlex: https://openalex.org/W4367839687
    Crossref OpenAlex OpenCitations
  70. Ronald Fischer , Johannes Alfons Karl , Johnny R. J. Fontaine , Ype H. Poortinga (2023). Evidence of Validity Does not Rule out Systematic Bias: A Commentary on Nomological Noise and Cross-Cultural Invariance . Sociological Methods & Research, 52(3), 1420-1437. SAGE Publications.
    Type: Article DOI: 10.1177/00491241221091756 OpenAlex: https://openalex.org/W4226258271
    Crossref OpenAlex OpenCitations
  71. Aja Louise Murray , Carrie Allison , Paula Smith , Simon Baron-Cohen , Tom Booth , Bonnie Auyeung (2017). Investigating diagnostic bias in autism spectrum conditions: An item response theory analysis of sex bias in the AQ‐10 . Autism Research, 10(5), 790-800. Wiley.
    Type: Article DOI: 10.1002/aur.1724 OpenAlex: https://openalex.org/W2558490227
    Crossref OpenAlex OpenCitations
  72. Christian Welzel , Stefan Kruse , Lennart Brunkert (2023). Against the Mainstream: On the Limitations of Non-Invariance Diagnostics: Response to Fischer et al. and Meuleman et al. Sociological Methods & Research, 52(3), 1438-1455. SAGE Publications.
    Type: Article DOI: 10.1177/00491241221091754 OpenAlex: https://openalex.org/W4226030245
    Crossref OpenAlex OpenCitations
  73. Christopher D. Nye , Jacob Bradburn , Jeffrey Olenick , Christopher Bialko , Fritz Drasgow (2019). How Big Are My Effects? Examining the Magnitude of Effect Sizes in Studies of Measurement Equivalence . Organizational Research Methods, 22(3), 678-709. SAGE Publications.
    Type: Article DOI: 10.1177/1094428118761122 OpenAlex: https://openalex.org/W2793381629
    Crossref OpenAlex OpenCitations
  74. Katharina Groskurth , Matthias Bluemke , Clemens M. Lechner (2021). Measurement Invariance Violation Indices (MIVIs): Effect sizes for (partial) non-invariance of items and item sets . Center for Open Science.
    Type: Prépublication DOI: 10.31234/osf.io/fbshu OpenAlex: https://openalex.org/W4230944932
    Crossref OpenAlex OpenCitations
  75. Oscar Gonzalez , William E. Pelham (2021). When Does Differential Item Functioning Matter for Screening? A Method for Empirical Evaluation . Assessment, 28(2), 446-456. SAGE Publications.
    Type: Article DOI: 10.1177/1073191120913618 OpenAlex: https://openalex.org/W3014856864
    OpenAlex
  76. BD Zumbo (1999). A handbook on the theory and methods of differential item functioning (DIF): logistic regression modeling as a unitary framework for binary and likert-type (ordinal) item scores . A handbook on the theory and methods of differential item functioning (DIF): logistic regression modeling as a unitary framework for binary and likert-type (ordinal) item scores.
    Type: Autre
    Crossref
  77. (s. d.). National Institute for Health and Care Excellence (NICE). Autism in adults: evidence update 59. 2014. https://www.nice.org.uk/guidance/cg142/evidence/autism-in-adults-evidence-update-186583789
    Type: Autre
    Crossref
  79. (2003). Factor Analysis at 100:Historical Developments and Future Directions . Multivariate Behavioral Research, 38(3), 401-401. Informa UK Limited.
    Type: Article DOI: 10.1207/s15327906mbr3803_06 OpenAlex: https://openalex.org/W4248200375
    OpenAlex
  80. R Speyer (2014). Speyer R, Cordier R, Kertscher B, Heijnen BJ. Psychometric properties of questionnaires on functional health status in oropharyngeal dysphagia: a systematic literature review. BioMed Res Int. 2014;2014:458678. BioMed Res Int. Paik NJ, editor, 2014, 458678.
    Type: Autre
    Crossref