Development of Autism Spectrum Disorder Scale and its Psychometric Properties

Tasmia Ijaz; Dr. Zaqia Bano

Authors

Tasmia Ijaz Department of psychology Hafiz Hayat Campus, University of Gujrat Gujrat, Pakistan
Dr. Zaqia Bano Department of psychology National University of Medical Sciences (NUMS) Rawalpindi , Pakistan

Keywords:

Autism Spectrum Disorder, Scale Development, Autistic Individuals And Childhood Autism Rating Scale

Abstract

Autism spectrum disorder scale was developed for the use of diagnoses purpose of autism. This scale is consisting of 15 items in Pakistan’s indigenous language Urdu. Most autism assessment tools are available in English and were developed by Western cultures; however, when those tools are used in different cultures, biased results can be evident. So, a culture-friendly tool was dire need to be developed. A scale was developed and administered to individuals (N=143) with autism using standard procedures from item pooling to standardization of scale. The sample was selected from different cities in Pakistan through a convenient sampling technique. Rotated component matrix analysis, factors loading, sample adequacy KMO and CFI tests were performed using SPSS and AMOS. The convergent validity test demonstrated that there is a significant correlation (r=0.81, p=.00) at the 0.01 alpha level with CARS on the sample of n=50. The indigenous scale also confirmed good test-retest reliability (r=0. 950, p=.000) at a 0.01 alpha level, which indicated that the scale is a valid and reliable measure for diagnosing individuals with an autism spectrum disorder. This scale can be used by researchers, psychologists, and psychiatrists for the general population to measure the prevalence and for diagnosis.

References

S. B. GUZE, “Diagnostic and Statistical Manual of Mental Disorders, 4th ed. (DSM-IV),” https://doi.org/10.1176/ajp.152.8.1228, vol. 152, no. 8, pp. 1228–1228, Apr. 2006, doi: 10.1176/AJP.152.8.1228.

American Psychiatric Association, “Diagnostic and Statistical Manual of Mental Disorders, 5th Edition: DSM-5,” Diagnostic Stat. Man. Ment. Disord. 5th Ed., p. 280, 2013, Accessed: Aug. 21, 2022. [Online]. Available: http://dsm.psychiatryonline.org//content.aspx?bookid=556&sectionid=41101754

M. Sandbank et al., “Project AIM: Autism intervention meta-analysis for studies of young children,” Psychol. Bull., vol. 146, no. 1, pp. 1–29, Jan. 2020, doi: 10.1037/BUL0000215.

“autism | Definition, Symptoms, Neuropathology, & Diagnosis | Britannica.” https://www.britannica.com/science/autism (accessed Aug. 21, 2022).

“Autism History.” https://www.news-medical.net/health/Autism-History.aspx (accessed Aug. 21, 2022).

S. Simpraga et al., “Adults with autism spectrum disorder show atypical patterns of thoughts and feelings during rest,” Autism, vol. 25, no. 5, pp. 1433–1443, Jul. 2021, doi: 10.1177/1362361321990928.

M. Sano, T. Hirosawa, M. Kikuchi, C. Hasegawa, S. Tanaka, and Y. Yoshimura, “Relation between acquisition of lexical concept and joint attention in children with autism spectrum disorder without severe intellectual disability,” PLoS One, vol. 17, no. 4 April, pp. 1–8, 2022, doi: 10.1371/journal.pone.0266953.

S. Srinivasan and A. Bhat, “Differences in caregiver behaviors of infants at-risk for autism and typically developing infants from 9 to 15 months of age,” Infant Behav. Dev., vol. 59, May 2020, doi: 10.1016/J.INFBEH.2020.101445.

L. Tsoi and K. McAuliffe, “Individual Differences in Theory of Mind Predict Inequity Aversion in Children,” Personal. Soc. Psychol. Bull., vol. 46, no. 4, pp. 559–571, Apr. 2020, doi: 10.1177/0146167219867957.

G. Atherton and L. Cross, “The Use of Analog and Digital Games for Autism Interventions,” Front. Psychol., vol. 12, p. 3049, Aug. 2021, doi: 10.3389/FPSYG.2021.669734/BIBTEX.

R. Grzadzinski et al., “Pre-symptomatic intervention for autism spectrum disorder (ASD): defining a research agenda,” J. Neurodev. Disord. 2021 131, vol. 13, no. 1, pp. 1–23, Oct. 2021, doi: 10.1186/S11689-021-09393-Y.

M. B. McClain, T. L. Otero, C. R. Haverkamp, and F. Molsberry, “Autism spectrum disorder assessment and evaluation research in 10 school psychology journals from 2007 to 2017,” Psychol. Sch., vol. 55, no. 6, pp. 661–679, Jul. 2018, doi: 10.1002/PITS.22133.

J. L. Gibson, E. Pritchard, and C. de Lemos, “Play-based interventions to support social and communication development in autistic children aged 2–8 years: A scoping review:,” https://doi.org/10.1177/23969415211015840, vol. 6, Jun. 2021, doi: 10.1177/23969415211015840.

L. Cordeiro, M. Braden, E. Coan, N. Welnick, T. Tanda, and N. Tartaglia, “Evaluating social interactions using the autism screening instrument for education planning-3rd edition (ASIEP-3): Interaction assessment in children and adults with fragile X syndrome,” Brain Sci., vol. 10, no. 4, 2020, doi: 10.3390/brainsci10040248.

M. B. Usta et al., “Use of machine learning methods in prediction of short-term outcome in autism spectrum disorders,” Psychiatry Clin. Psychopharmacol., vol. 29, no. 3, pp. 320–325, 2019, doi: 10.1080/24750573.2018.1545334.

S. J. Moon et al., “Accuracy of the Childhood Autism Rating Scale: a systematic review and meta-analysis,” Dev. Med. Child Neurol., vol. 61, no. 9, pp. 1030–1038, Sep. 2019, doi: 10.1111/DMCN.14246.

“Vineland Adaptive Behavior Scales | Third Edition.” https://www.pearsonassessments.com/store/usassessments/en/Store/Professional-Assessments/Behavior/Adaptive/Vineland-Adaptive-Behavior-Scales-%7C-Third-Edition/p/100001622.html (accessed Aug. 21, 2022).

M. Oh et al., “Validating the autism diagnostic interview-revised in the Korean population,” Psychiatry Investig., vol. 18, no. 3, pp. 196–204, 2021, doi: 10.30773/pi.2020.0337.

S. A. Samadi, C. A. Biçak, H. Noori, B. Abdalla, A. Abdullah, and L. Ahmed, “Autism Spectrum Disorder Diagnostic Criteria Changes and Impacts on the Diagnostic Scales-Utility of the 2nd and 3rd Versions of the Gilliam Autism Rating Scale (GARS),” Brain Sci., vol. 12, no. 5, May 2022, doi: 10.3390/BRAINSCI12050537.

A. Farooq and S. Ahmed, “Screening for Autism Spectrum Disorder in Children up to Age 2.5 years in a Tertiary Care Hospital,” Life Sci., vol. 1, no. 1, p. 5, 2020, doi: 10.37185/lns.1.1.74.

F. J. R. van de Vijver and Y. H. Poortinga, “Dealing with Methodological Pitfalls in Cross-Cultural Studies of Stress,” Handb. Stress und Kult., pp. 1–19, 2020, doi: 10.1007/978-3-658-27825-0_2-1.

F. F. R. Morgado, J. F. F. Meireles, C. M. Neves, A. C. S. Amaral, and M. E. C. Ferreira, “Scale development: ten main limitations and recommendations to improve future research practices,” Psicol. Reflexão e Crítica 2017 301, vol. 30, no. 1, pp. 1–20, Jan. 2017, doi: 10.1186/S41155-016-0057-1.

G. O. Boateng, T. B. Neilands, E. A. Frongillo, H. R. Melgar-Quiñonez, and S. L. Young, “Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer,” Front. Public Heal., vol. 6, p. 149, Jun. 2018, doi: 10.3389/FPUBH.2018.00149/BIBTEX.

G. J. Bean and N. K. Bowen, “Item Response Theory and Confirmatory Factor Analysis: Complementary Approaches for Scale Development,” J. Evid. Based. Soc. Work, vol. 18, no. 6, pp. 597–618, Jul. 2021, doi: 10.1080/26408066.2021.1906813.

B. K. Nkansah, “On the Kaiser-Meier-Olkin’s Measure of Sampling Adequacy,” Math. Theory Model., vol. 8, no. 7, pp. 52–76, 2018, Accessed: Aug. 21, 2022. [Online]. Available: https://iiste.org/Journals/index.php/MTM/article/view/44386

W. H. Finch, “Using Fit Statistic Differences to Determine the Optimal Number of Factors to Retain in an Exploratory Factor Analysis:,” https://doi.org/10.1177/0013164419865769, vol. 80, no. 2, pp. 217–241, Jul. 2019, doi: 10.1177/0013164419865769.

“How we can find the Cut off score of the Scale tool?” https://www.researchgate.net/post/How-we-can-find-the-Cut-off-score-of-the-Scale-tool (accessed Aug. 21, 2022).

M. Grissom, “Childhood Autism Rating Scales,” Encycl. Clin. Neuropsychol., pp. 553–554, 2011, doi: 10.1007/978-0-387-79948-3_1530.

K. S. Taber, “The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education,” Res. Sci. Educ., vol. 48, no. 6, pp. 1273–1296, Dec. 2018, doi: 10.1007/S11165-016-9602-2/TABLES/1.

“¿Wich are the recommended thresholds for convergent and discrimnant validity analysis?” https://www.researchgate.net/post/Wich_are_the_recommended_thresholds_for_convergent_and_discrimnant_validity_analysis (accessed Aug. 21, 2022).

C. A. Bobak, P. J. Barr, and A. J. O’Malley, “Estimation of an inter-rater intra-class correlation coefficient that overcomes common assumption violations in the assessment of health measurement scales,” BMC Med. Res. Methodol., vol. 18, no. 1, pp. 1–11, Sep. 2018, doi: 10.1186/S12874-018-0550-6/FIGURES/6.

“How to Interpret correlation coefficient (r)? – STATS-U.” https://sites.education.miami.edu/statsu/2020/09/22/how-to-interpret-correlation-coefficient-r/ (accessed Aug. 21, 2022).

“Factor Analysis: A Short Introduction, Part 5-Dropping unimportant variables from your analysis - The Analysis Factor.” https://www.theanalysisfactor.com/factor-analysis-5/ (accessed Aug. 21, 2022).

J. Pallant, “SPSS Survival Manual : A Step by Step Guide to Data Analysis Using IBM SPSS,” Jul. 2020, doi: 10.4324/9781003117452.

L. T. Hu and P. M. Bentler, “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives,” https://doi.org/10.1080/10705519909540118, vol. 6, no. 1, pp. 1–55, 2009, doi: 10.1080/10705519909540118.

D. Hooper, J. Coughlan, and M. R. Mullen, “Structural equation modelling: Guidelines for determining model fit,” Electron. J. Bus. Res. Methods, vol. 6, no. 1, pp. 53–60, 2008.

L. R. Fabrigar, R. C. MacCallum, D. T. Wegener, and E. J. Strahan, “Evaluating the use of exploratory factor analysis in psychological research,” Psychol. Methods, vol. 4, no. 3, pp. 272–299, Sep. 1999, doi: 10.1037/1082-989X.4.3.272.

B. M. Byrne, “Structural equation modeling with EQS : basic concepts, applications, and programming,” p. 440, 2006.

S. A. Mulaik, L. R. James, J. Van Alstine, N. Bennett, S. Lind, and C. D. Stilwell, “Evaluation of Goodness-of-Fit Indices for Structural Equation Models,” Psychol. Bull., vol. 105, no. 3, pp. 430–445, 1989, doi: 10.1037/0033-2909.105.3.430.

R. B. Kline, “Principles and Practice of Structural Equation Modeling, Fourth Edition - Rex B. Kline - Google Books,” p. 9, 2011, Accessed: Aug. 21, 2022. [Online]. Available: https://books.google.de/books?hl=de&lr=&id=Q61ECgAAQBAJ&oi=fnd&pg=PP1&dq=kline+2015+sem&ots=jFjg0uwanh&sig=IGqNsLCD7-r6SJpeh2MxR_Ppt84#v=onepage&q=kline 2015 sem&f=false

B. G. Tabachnick and L. S. Fidell, “Using Multivariate Statistics 5th Edition,” Using Multivar. Stat., p. 1008, 2001, Accessed: Aug. 21, 2022. [Online]. Available: http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Cleaning+up+your+act:+Screening+Data+Prior+to+Analysis#0

B. MENDI and O. MENDI, “Evaluation of Validity and Reliability of the Turkish Version of the E-lifestyle Instrument,” J. Yaşar Univ., vol. 10, no. 40, p. 6624, 2015, doi: 10.19168/jyu.37431.