Development and psychometric properties of the Attitudes Towards Intellectual Disability Scale in the workplace
Abstract
Background: A new instrument was designed to measure attitudes towards intellectual disability in the workplace. This tool provides the opportunity to identify underlying cognitive and emotional patterns that may influence people's interaction and performance in such environments. Objective: To construct, validate, and ensure the reliability of a scale measuring attitudes towards intellectual disability, establishing its suitability in labor inclusion programs. Method: A psychometric design was used that incorporated qualitative techniques, such as focus groups and cognitive interviews, in the instrument construction phase. The content validation of the items involved the participation of 15 experts in the field, which resulted in a reduced version with 10 items distributed in two dimensions: Perception and Social Distance. Subsequently, both the validity of the internal structure and the reliability of the instrument were evaluated in a sample of 255 individuals, composed of 35% (n=88) women and 66% (n=167) men. Result: The third-factor model evaluated with confirmatory factor analysis (CFA) was the one that demonstrated excellent fit indices (CFI= .991; TLI=.988; RMSEA= .076; SRMR =.038), with an adequate inter-factor correlation (0.82) and adequate consistency coefficients (α=0.825; ω=0.916). Conclusion: A tool of invaluable value is presented for planning public health programs aimed at reducing stigma and promoting the socio-labor inclusion of people with intellectual disabilities.
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References
American Educational Research Association American Psychological Association National Council on Measurement in Education. (2014). The Standards for Educational and Psychological Testing.
Antonak, R. F., & Livneh, H. (2000). Measurement of attitudes towards persons with disabilities. Disability and Rehabilitation, 22(5), 211–224. https://doi.org/10.1080/096382800296782
Ato, M., López, J. J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología [A clasification system for research designs in psychology]. Anales de Psicologia, 29(3), 1038–1059. https://doi.org/10.6018/analesps.29.3.178511
Bandalos, D. L. (2014). Relative Performance of Categorical Diagonally Weighted Least Squares and Robust Maximum Likelihood Estimation. Structural Equation Modeling, 21(1), 102–116. https://doi.org/10.1080/10705511.2014.859510
Belmonte Almagro, M., & García Sanz, M. (2014). La escuela de vida, otra mirada a la discapacidad intelectual [The school of life, another look at intellectual disability]. Revista Fuentes, 14, 147–170.
Biernacki, P., & Waldorf, D. (1981). Snowball sampling: Problems and techniques of chain referral sampling. Sociological Methods & Research, 10(2), 141-163. https://doi.org/10.1177/004912418101000205
Boo, L. S. H., & Nie, Y. (2018). Attitude Towards Persons with Intellectual Disability Scale: Further Development. Current Psychology, 37(4), 760–768. https://doi.org/10.1007/s12144-017-9560-5
Brown, T. A. (2015). Confirmatory factor analysis for applied research (Second edition). The Guilford Press.
Campo-Arias, A., & Oviedo, H. C. (2008). Propiedades Psicométricas de una Escala: la Consistencia Interna [Psychometric properties of a scale: internal consistency]. Rev. salud pública; 10(5): 831-839.
Yu, C. Y. (2002). Evaluating cutoff criteria of model fit indices for latent variable models with binary and continuous outcomes. Doctoral dissertation, University of California, Los Angeles.
Escobar-Pérez, J., & Cuervo-Martínez, Á. (2008). Validez De Contenido Y Juicio De Expertos: Una Aproximación a Su Utilización [Content Validity and Expert Judgment: An Approach to Its Use]. Avances En Medición, 6, 27–36.
Ferrando, P., & Lorenzo-Seva, U. (2014). El análisis factorial exploratorio de los ítems: Algunas consideraciones adicionales [Exploratory factor analysis of the items: Some additional considerations]. Anales de Psicologia, 30(3), 1170–1175. https://doi.org/10.6018/analesps.30.3.199991
Findler, L., Vilchinsky, N., & Werner, S. (2007). The multidimensional attitudes scale toward persons with disabilities (MAS): Construction and validation. Rehabilitation Counseling Bulletin, 50(3), 166–176. https://doi.org/10.1177/00343552070500030401
Flora, D. B. (2020). Your Coefficient Alpha Is Probably Wrong, but Which Coefficient Omega Is Right? A Tutorial on Using R to Obtain Better Reliability Estimates. Advances in Methods and Practices in Psychological Science, 3(4), 484–501. https://doi.org/10.1177/2515245920951747
Flora, D. B., & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. https://doi.org/10.1037/1082-989X.9.4.466
Forero, C. G., & Maydeu-Olivares, A. (2009). Estimation of IRT Graded Response Models: Limited Versus Full Information Methods. Psychological Methods, 14(3), 275–299. https://doi.org/10.1037/a0015825
Forero, C. G., Maydeu-Olivares, A., & Gallardo-Pujol, D. (2009). Factor Analysis with Ordinal Indicators: A Monte Carlo Study Comparing DWLS and ULS Estimation. Structural Equation Modeling: A Multidisciplinary Journal, 16(4), 625–641. https://doi.org/10.1080/10705510903203573
García-Sanz, M. P., Belmonte, M. L., & Galián, B. (2022). Barreras invisibles: validación de un instrumento para evaluar la actitud hacia las personas con Discapacidad intelectual [Invisible barriers: validation of an instrument for assessing attitude toward persons with intellectual disability]. Electronic Journal of Research in Educational Psychology, 20 (1), 151-176. ISSN:1696-2095. 2022. no. 56.
Gómez, D. C., Pelucchi, M. G., Combarro, A. C., & Vidorreta, G. I. (2022). Propiedades psicométricas del Cuestionario Goratu “Percepciones sobre las personas con discapacidad intelectual” del alumnado de Educación Secundaria Obligatoria y Bachillerato [Psychometric properties of the Goratu Questionnaire “Perceptions of people with intellectual disabilities” in Compulsory Secondary Education and Baccalaureate students]. Revista Complutense de Educación, 33(2), 311–324. https://doi.org/10.5209/rced.74294
Gurdián-Fernández, A., Vargas Dengo, M.-C., Delgado Álvarez, C., & Sánchez Prada, A. (2020). Prejuicios hacia las personas con discapacidad: fundamentación teórica para el diseño de una escala [Prejudices towards people with disabilities: theoretical foundation for the design of a scal]. Actualidades Investigativas En Educación, 20(1), 1–26. https://doi.org/10.15517/aie.v20i1.40131
Hampton, N. Z., & Xiao, F. (2008). Psychometric properties of the mental retardation attitude inventory-revised in Chinese college students. Journal of Intellectual Disability Research, 52(4), 299–308. https://doi.org/10.1111/j.1365-2788.2007.01020.x
Henry, D., Keys, C., Jopp, D., & Balcazar, F. (1996). The Community Living Attitudes Scale, Mental Retardation Form: Development and Psychometric Properties. Mental Retardation, 34(3), 149–158.
Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to under parameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037//1082-989x.3.4.424
Johnson, JA (2005). Determinar la validez de los protocolos individuales a partir de inventarios de personalidad basados en la web [Determine the validity of individual protocols from web-based personality inventories]. J.Res. Pers. 39, 103-129. doi: 10.1016/j.jrp.2004.09.009
Jolliffe, I. T. (2002). Principal component analysis (Second edition.). Springer. https://doi.org/10.1007/b98835.
Kline, P. (2015). Principles and Practice of Structural Equation Modeling. Guilford Publications.
Lai, K. (2020). Fit Difference Between Nonnested Models Given Categorical Data: Measures and Estimation. Structural Equation Modeling, 00(00), 1–22. https://doi.org/10.1080/10705511.2020.1763802
Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada Introducción Determinación de la adecuación del Análisis [Exploratory factor analysis of items: a practical guide, revised and updated Introduction Determination of the adequacy of the Analysis]. Anales De Psicología, 30(3), 1151–1169. https://dx.doi.org/10.6018/analesps.30.3.199361
Lloret, S., Ferreres, A., & Tomás, A. H. e. I. (2017). El análisis factorial exploratorio de los ítems: Análisis guiado según los datos empíricos y el software. Anales de Psicologia, 33(2), 417–432. https://doi.org/10.6018/analesps.33.2.270211
Lubrini, G., Martín-Montes, A., Díez-Ascaso, O., & Díez-Tejedor, E. (2018). Brain disease, connectivity, plasticity and cognitive therapy: A neurological view of mental disorders. Neurologia, 33(3), 187–191. https://doi.org/10.1016/j.nrl.2017.02.005
Maldonado, J. A. V. (2013). El Modelo Social De La Discapacidad: Una Cuestión De Derechos Humanos [the Social Model of Disability: a Matter of Human Rights]. Revista de Derecho UNE, 12, 817–834. https://doi.org/10.5944/rduned.12.2013.11716
Martin, M. T., & Ripolles, S. A. (2008). La discapacidad dentro del enfoque de capacidades y funcionamientos de Amartya Sen. Revista Iberoamericana de Filosofía, Política y Humanidades, no 20, 64–94. https://dialnet.unirioja.es/descarga/articulo/2663115.pdf
McDonald, R. P. (1999). Test theory: A unified treatment. Lawrence Erlbaum Associates Publishers.
Morin, D., Crocker, A. G., Beaulieu-Bergeron, R., & Caron, J. (2013). Validation of the attitudes toward intellectual disability - ATTID questionnaire. Journal of Intellectual Disability Research, 57(3), 268–278. https://doi.org/10.1111/j.1365-2788.2012.01559.x
Muñiz, J., & Fonseca-Pedrero, E. (2019). Ten steps for test development. Psicothema, 31(1), 7–16. https://doi.org/10.7334/psicothema2018.291
Muñiz, J., Hernández, A., & Ponsoda, V. (2015). Nuevas directrices sobre el uso de los tests: investigación, control de calidad y seguridad [New guidelines on the use of tests: research, quality control and safety]. Papeles del Psicólogo, 36(3), 161-173.
Nassar-McMillan, S., & Dianne Borders, L. (2002). Use of Focus Groups in Survey Item Development. The Qualitative Report, 7(1), 1–12. https://doi.org/10.46743/2160-3715/2002.1987
Novak, I., & Morgan, C. (2019). High-risk follow-up: Early intervention and rehabilitation. In Handbook of Clinical Neurology (1st ed., Vol. 162). Elsevier B.V. https://doi.org/10.1016/B978-0-444-64029-1.00023-0
Olson, J., & Zanna, M. (1993). Attitudes and attitude change. Annual Review of Psychology. https://doi.org/10.1146/annurev.ps.44.020193.001001
Palacios, A. (2008). Caracterización del modelo social y su conexión con los Derechos Humanos [Characterization of the social model and its connection with Human Rights]. En El modelo social de la discapacidad: Orígenes, caracterización y plasmación en la Convención Internacional sobre los Derechos de las Personas con Discapacidad (pp. 103-151). https://www.cermi.es/sites/default/files/docs/colecciones/Elmodelosocialdediscapacidad.pdf
Palad, Y. Y., Barquia, R. B., Domingo, H. C., Flores, C. K., Padilla, L. I., & Ramel, J. M. D. (2016). Scoping review of instruments measuring attitudes toward disability. Disability and Health Journal, 9(3), 354–374. https://doi.org/10.1016/j.dhjo.2016.01.008
Power, M. J., & Green, A. M. (2010). The Attitudes to Disability Scale (ADS): Development and psychometric properties. Journal of Intellectual Disability Research, 54(9), 860–874. https://doi.org/10.1111/j.1365-2788.2010.01317.x
R Core Team. A Language and Environment for Statistical Computing. [Internet]. Vienna, Austria; 2016. Available from: https://www.r-project.org/
Revelle W. _psych: Procedures for Psychological, Psychometric, and Personality Research_ [Internet]. Evanston, Illinois; 2023. Available from: https://cran.r-project.org/package=psych
Rosseel Y. lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software. 2012. p. 1–36. https://doi.org/10.18637/jss.v048.i02
Scior, K., & Furnham, A. (2011). Development and validation of the Intellectual Disability Literacy Scale for assessment of knowledge, beliefs and attitudes to intellectual disability. Research in Developmental Disabilities, 32(5), 1530–1541. https://doi.org/10.1016/j.ridd.2011.01.044
Seccombe, J. A. (2007). Attitudes towards disability in an undergraduate nursing curriculum: A literature review. Nurse Education Today, 27(5), 459–465. https://doi.org/10.1016/j.nedt.2006.08.005
Shahidi, F. V., Jetha, A., Kristman, V., Smith, P. M., & Gignac, M. A. (2023). The Employment Quality of Persons with Disabilities: Findings from a National Survey. Journal of Occupational Rehabilitation. https://doi.org/10.1007/s10926-023-10113-7
Silván, C., & Quifez, L. E. (2020). Efectos y consecuencias de la crisis de la COVID-19 entre las personas con discapacidad [Effects and consequences of the COVID-19 crisis among people with disabilities]. Madrid: Fundación Once. https://www.consaludmental.org/publicaciones/Efectos-crisis-covid-personas-discapacidad.pdf
Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach's alpha. International Journal of Medical Education, 2, 53-55. doi: 10.5116/ijme.4dfb.8dfd. PMID: 28029643; PMCID: PMC4205511.
Valentini, B., Carter, E. W., Bumble, J. L., & Hill, E. (2019). Employer views on school-business partnerships involving students with severe disabilities. Journal of Vocational Rehabilitation, 50(3), 365–377. https://doi.org/10.3233/JVR-191019
Velarde Lizama, V. (2012). Los modelos de la discapacidad: un recorrido histórico [Models of Disability: a Historical Perspective]. Revista Empresa y Humanismo, XV (1), 115–136. https://dadun.unav.edu/bitstream/10171/29153/1/REYH 15-1-12Velarde Lizama.pdf
Whittaker, J. (2007). Actitudes. En la Psicología Social en el Mundo de hoy [Attitudes. In Social Psychology in Today's World]. En Espacio de Formación Multimodal (pp. 237–262).
http://metabase.uaem.mx/bitstream/handle/123456789/1060/264_4.pdf?sequence=1
Williams, R. J., & Rose, J. L. (2007). The development of a questionnaire to assess the perceptions of care staff towards people with intellectual disabilities who display challenging behaviour. Journal of Intellectual Disabilities, 11(2), 197–211. https://doi.org/10.1177/1744629507076932
World Health Organization. (2001). International classification of functioning, disability and health: ICF. Geneva: World Health Organization.
Xia, Y., & Yang, Y. (2019). RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods. Behavior Research Methods, 51(1), 409–428. https://doi.org/10.3758/s13428-018-1055-2
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