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Validation of an Adapted Version of the Glasgow Anxiety Scale for People with Intellectual Disabilities (GAS-ID)

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Abstract

The objective of the study was to validate adapted versions of the Glasgow Anxiety Scale for people with Intellectual Disabilities (GAS-ID) simultaneously developed in English and French. A sample of 361 youth with mild to moderate intellectual disability (ID) (M = 15.78 years) from Australia (English-speaking) and Canada (French-speaking) participated in this study. The results supported the factor validity and reliability, measurement invariance (between English and French versions), a lack of differential items functioning (as a function of youth’s age and ID level, but not sex in the English-Australian sample), temporal stability (over one year interval), and convergent validity (with global self-esteem and school loneliness) of a bi-factor exploratory structural equation modeling representation of the GAS-ID. The present study supports the psychometric properties of the English-Australian and French-Canadian versions of the adapted GAS-ID.

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References

  • Allan, N. P., Capron, D. W., Lejuez, C. W., Reynolds, E. K., MacPherson, L., & Schmidt, N. B. (2014). Developmental trajectories of anxiety symptoms in early adolescence: The influence of anxiety sensitivity. Journal of Abnormal Child Psychology, 42, 589–600.

    Article  PubMed  PubMed Central  Google Scholar 

  • American Psychiatric Association. (2000). Diagnostic and statistical manual of mental disorders (4th ed.). American Psychiatric Association.

    Google Scholar 

  • American Psychological Association. (2020). APA dictionary of psychology. American Psychological Association.

    Google Scholar 

  • Argus, G. R., Terrya, P. C., Bramstona, P., & Dinsdale, S. L. (2004). Measurement of mood in adolescents with intellectual disability. Research in Developmental Disabilities, 25, 493–507.

    Article  PubMed  Google Scholar 

  • Asher, S. R., Hymel, S., & Renshaw, P. D. (1984). Loneliness in children. Child Development, 55, 1456–1464.

    Article  Google Scholar 

  • Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397–438.

    Article  Google Scholar 

  • Bond, L., Carroll, R., Mulryan, N., O’Dwyer, M., O’Connell, J., Monaghan, R., Sheerin, F., McCallion, P., & McCarron, M. (2020). Biopsychosocial factors associated with depression and anxiety in older adults with intellectual disability: Results of the wave 3 intellectual disability supplement to the Irish longitudinal study of ageing. Journal of Intellectual Disability Research, 64, 368–380.

    Article  PubMed  Google Scholar 

  • Brown, A., Finney, S., & France, M. (2011). Using the bifactor model to assess the dimensionality of the Hong psychological reactance scale. Educational & Psychological Measurement, 71, 170–185.

    Article  Google Scholar 

  • Browne, M. W. (2001). An overview of analytic rotation in exploratory factor analysis. Multivariate Behavioral Research, 36, 111–150.

    Article  Google Scholar 

  • Buckles, J., Luckasson, R., & Keefe, E. (2013). A systematic review of the prevalence of psychiatric disorders in adults with intellectual disability, 2003–2010. Journal of Mental Health Research in Intellectual Disabilities, 6, 181–207.

    Article  Google Scholar 

  • Byrne, B. (2000). Relationship between anxiety, fear, self-esteem, and coping strategies in adolescence. Adolescence, 35, 201–215.

    PubMed  Google Scholar 

  • Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement. Structural Equation Modeling, 14, 464–504.

    Article  Google Scholar 

  • Chester, R., Chaplin, E., Tsakanikos, E., McCarthy, J., Bouras, N., & Craig, T. (2013). Gender differences in self-reported symptoms of depression and anxiety in adults with intellectual disabilities. Advances in Mental Health and Intellectual Disability, 7, 191–200.

    Article  Google Scholar 

  • Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255.

    Article  Google Scholar 

  • Einfeld, S. L., Ellis, L. A., & Emerson, E. (2011). Comorbidity of intellectual disability and mental disorder in children and adolescents: A systematic review. Journal of Intellectual and Developmental Disability, 36, 137–143.

    Article  PubMed  Google Scholar 

  • Hartley, S. L., & MacLean, W. E. (2006). A review of the reliability and validity of Likert scales for people with intellectual disability. Journal of Intellectual Disability Research, 50, 813–827.

    Article  PubMed  Google Scholar 

  • Hermans, H., van der Pas, F. H., & Evenhuis, H. M. (2011). Instruments assessing anxiety in adults with intellectual disabilities: A systematic review. Research in Developmental Disabilities, 32, 861–870.

    Article  PubMed  Google Scholar 

  • Hermans, H., Wieland, J., Jelluma, N., Van der Pas, F., & Evenhuis, H. (2013). Reliability and validity of the Dutch version of the Glasgow anxiety scale for people with an Intellectual disability (GAS-ID). Journal of Intellectual Disability Research, 57, 728–736.

    Article  PubMed  Google Scholar 

  • Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.

    Article  Google Scholar 

  • Hudson, C., & Chan, J. (2002). Individuals with intellectual disability and mental illness: A literature review. Australian Journal of Social Issues, 37, 31–49.

    Article  Google Scholar 

  • Klein, A. M., Houtkamp, E. O., Salemink, E., Baartmans, J. M. D., Rinck, M., & van der Molen, M. J. (2018). Differences between self- and peer-rated likability in relation to social anxiety and depression in adolescents with mild intellectual disabilities. Research in Developmental Disabilities, 80, 44–51.

    Article  PubMed  Google Scholar 

  • Maes, M., Nelemans, S. A., Danneel, S., Fernández-Castilla, B., Van den Noortgate, W., & Goossens, L. (2019). Loneliness and social anxiety across childhood and adolescence: Multilevel meta-analyses of cross-sectional and longitudinal associations. Developmental Psychology, 55, 1548–1565.

    Article  PubMed  Google Scholar 

  • Maïano, C., Aimé, A., Lepage, G., Morin, A. J. S., ASPQ Team. (2019). Psychometric properties of the weight self-stigma questionnaire (WSSQ) among a sample of overweight/obese French-speaking adolescents. Eating and Weight Disorders, 24, 575–583.

    Article  PubMed  Google Scholar 

  • Maïano, C., Coutu, S., Tracey, D., Bouchard, S., Lepage, G., Morin, A. J. S., & Moullec, G. (2018). Prevalence of anxiety and depressive disorders among youth with intellectual disabilities: A systematic review and meta-analysis. Journal of Affective Disorders, 236, 230–242.

    Article  PubMed  Google Scholar 

  • Maïano, C., Morin, A. J. S., & Mascret, N. (2015). Psychometric properties of the short form of the physical self-description questionnaire in a French adolescent sample. Body Image, 12, 89–97.

    Article  PubMed  Google Scholar 

  • Maïano, C., Morin, A. J. S., Aimé, A., Lepage, G., & Bouchard, S. (2021). Psychometric properties of the body checking questionnaire (BCQ) and of the body checking cognitions scale (BCCS): A bifactor-exploratory structural equation modeling approach. Assessment, 28, 632–646.

    Article  PubMed  Google Scholar 

  • Marsh, H. W., Hau, K.-T., & Grayson, D. (2005). Goodness of fit evaluation in structural equation modeling. In A. Maydeu-Olivares & J. McArdle (Eds.), Contemporary psychometrics (pp. 275–340). Erlbaum.

    Google Scholar 

  • Marsh, H. W., Nagengast, B., & Morin, A. J. S. (2013). Measurement invariance of big-five factors over the life span: ESEM tests of gender, age, plasticity, maturity, and la dolce vita effects. Developmental Psychology, 49, 1194–1218.

    Article  PubMed  Google Scholar 

  • Marsh, H. W., Tracey, D. K., & Craven, R. G. (2006). Multidimensional self-concept structure for preadolescents with mild intellectual disabilities: A hybrid multigroup–MIMC approach to factorial invariance and latent mean differences. Educational & Psychological Measurement, 66, 795–818.

    Article  Google Scholar 

  • McDonald, R. P. (1970). Theoretical foundations of principal factor analysis, canonical factor analysis, and alpha factor analysis. British Journal of Mathematical & Statistical Psychology, 23, 1–21.

    Article  Google Scholar 

  • McLaughlin, K. A., & King, K. (2015). Developmental trajectories of anxiety and depression in early adolescence. Journal of Abnormal Child Psychology, 43, 311–323.

    Article  PubMed  PubMed Central  Google Scholar 

  • Millsap, R. (2011). Statistical approaches to measurement invariance. Taylor & Francis.

  • Mindham, J., & Espie, C. A. (2003). Glasgow anxiety scale for people with an intellectual disability (GAS-ID): Development and psychometric properties of a new measure for use with people with mild intellectual disability. Journal of Intellectual Disability Research, 47, 22–30.

    Article  PubMed  Google Scholar 

  • Morin, A. J. S., Arens, A. K., & Marsh, H. W. (2016). A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling, 23, 116–139.

    Article  Google Scholar 

  • Morin, A. J. S., Maïano, C., Scalas, L. F., Aşçı, F. H., Boughattas, W., Abid, S., Mascret, N., Kara, F. M., Fadda, D., & Probst, M. (2018). Cross-cultural validation of the short form of the physical self inventory (PSI-S). Sport, Exercise, and Performance Psychology, 7, 60–79.

    Article  Google Scholar 

  • Morin, A. J. S., Moullec, G., Maïano, C., Layet, L., Just, J.-L., & Ninot, G. (2011). Psychometric properties of the center for epidemiologic studies depression scale (CES-D) in French clinical and nonclinical adults. Epidemiology and Public Health, 59, 327–340.

    Google Scholar 

  • Morin, A. J. S., Maïano, C., Nagengast, B., Marsh, H. W., Morizot, J., & Janosz, M. (2011). Growth mixture modeling of adolescents trajectories of anxiety across adolescence: The impact of untested invariance assumptions on substantive interpretations. Structural Equation Modeling, 18, 613–648.

    Article  Google Scholar 

  • Morin, A. J. S., Marsh, H. W., & Nagengast, B. (2013). Exploratory structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (2nd ed., pp. 395–438). Information Age.

    Google Scholar 

  • Morin, A. J. S., Myers, N. D., & Lee, S. (2020). Modern factor analytic techniques: Bifactor models, exploratory structural equation modeling (ESEM) and bifactor-ESEM. In G. Tenenbaum & R. C. Eklund (Eds.), Handbook of sport psychology (4th ed., pp. 1044–1073). Wiley.

    Chapter  Google Scholar 

  • Müller, K., Kufner, K., Prange, K., & Bengel, J. (2019). Screeninginstrument für angst bei menschen mit intelligenzminderung: deutsche version der „Glasgow anxiety scale for people with an intellectual disability “(GAS-ID) [screening for anxiety in people with an intellectual disability: German version of the “Glasgow anxiety scale for people with an intellectual disability” (GAS-ID)]. Psychiatrische Praxis, 46, 274–280.

    Article  PubMed  Google Scholar 

  • Muthén, L. K., & Muthén, B. (2017). Mplus user’s guide (8th ed.). Muthén & Muthén.

    Google Scholar 

  • Oeseburg, B., Dijkstra, G. J., Groothoff, J. W., Reijneveld, S. A., & Jansen, D. E. C. (2011). Prevalence of chronic health conditions in children with intellectual disability: A systematic literature review. Intellectual and Developmental Disabilities, 49, 59–85.

    Article  PubMed  Google Scholar 

  • Perreira, T. A., Morin, A. J. S., Hebert, M., Gillet, N., Houle, S. A., & Berta, W. (2018). The short form of the workplace affective commitment multidimensional questionnaire (WACMQ-S): A bifactor-ESEM approach among healthcare professionals. Journal of Vocational Behavior, 106, 62–83.

    Article  Google Scholar 

  • Reardon, T. C., Gray, K. M., & Melvin, G. A. (2015). Anxiety disorders in children and adolescents with intellectual disability. Research in Developmental Disabilities, 36, 175–190.

    Article  Google Scholar 

  • Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47, 667–696.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rodas, N. V., Blacher, J., & Baker, B. L. (2020). Predictors of anxiety symptoms trajectory in children with or without ID from early childhood to adolescence. Journal of Mental Health Research in Intellectual Disabilities, 13, 25–42.

    Article  Google Scholar 

  • Roid, G. H., & Miller, L. J. (1997). Leiter international performance scale-revised. Stoelting.

    Google Scholar 

  • Rojahn, J., Rowe, E. W., Kasdan, S., Moore, L., & van Ingen, D. J. (2011). Psychometric properties of the aberrant behavior checklist, the anxiety, depression and mood scale, the assessment of dual diagnosis and the social performance survey schedule in adults with intellectual disabilities. Research in Developmental Disabilities, 32, 2309–2320.

    Article  PubMed  Google Scholar 

  • Smith, S. R. (2007). Making sense of multiple informants in child and adolescent psychopathology, a guide for clinicians. Journal of Psychoeducational Assessment, 25, 139–149.

    Article  Google Scholar 

  • Sowislo, J. F., & Orth, U. (2013). Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies. Psychological Bulletin, 139, 213–240.

    Article  PubMed  Google Scholar 

  • Vasey, M., Bosmans, G., & Ollendick, T. (2014). The developmental psychopathology of anxiety. In M. Lewis & K. Rudolph (Eds.), Handbook of developmental psychopathology (3rd ed., pp. 543–560). Springer.

    Chapter  Google Scholar 

  • Weschler, D. (2003). Weschler intelligence scale for children (4th ed.). Pearson.

    Google Scholar 

  • Wechsler, D., Coalson, D. L., & Raiford, S. E. (2008). WAIS-IV technical and interpretive manual. Pearson.

    Google Scholar 

  • Whitaker, S., & Read, S. (2006). The prevalence of psychiatric disorders among people with intellectual disabilities. Journal of Applied Research in Intellectual Disabilities, 19, 330–345.

    Article  Google Scholar 

  • Yu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. University of California.

    Google Scholar 

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Acknowledgments

This study was supported by grants from the Australian Research Council (ARC; DP140101559) and from the Social Sciences and Humanities Research Council of Canada (SSHRC; 430-2012-0091, 435-2014-0909).

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CM is contributed to Funding (both countries), Study Design (both countries), Data Collection (Canada), Conceptualization, Methodology, Analyses, Writing (original draft, review, editing); AJSM is contributed to Funding (both countries), Study Design (both countries), Data Collection (Australia), Conceptualization, Methodology, Analyses, Writing (original draft, review, editing); CG is contributed to Conceptualization, Methodology, Analyses, Writing (original draft, editing); EO is contributed to Conceptualization, Methodology, Writing (original draft, review, editing); DT is contributed to Funding (Australia), Study Design (Australia), Data Collection (Australia), Writing (original draft, review, editing); RGC is contributed to Funding (Australia), Study Design (Australia), Data Collection (Australia), Writing (original draft, review, editing); SB is contributed to Conceptualization, Methodology, Writing (original draft, review, editing).

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Correspondence to Christophe Maïano.

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The order of appearance of the first and second authors (C.M. and A.J.S.M.) was determined at random: Both should be considered first authors.

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Maïano, C., Morin, A.J.S., Gagnon, C. et al. Validation of an Adapted Version of the Glasgow Anxiety Scale for People with Intellectual Disabilities (GAS-ID). J Autism Dev Disord 53, 1560–1572 (2023). https://doi.org/10.1007/s10803-021-05398-7

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