Skip to main content

Advertisement

Log in

Confirmatory Factor Analysis of the Child Behavior Checklist 1.5–5 in a Sample of Children with Autism Spectrum Disorders

  • Original Paper
  • Published:
Journal of Autism and Developmental Disorders Aims and scope Submit manuscript

Abstract

Validity studies of measures for emotional and behavioral disorders (EBD) for use with preschool children with autism spectrum disorders (ASD) are lacking. The Child Behavior Checklist 1.5–5 (CBCL; Achenbach and Rescorla, Manual for the ASEBA Preschool Forms & Profiles. VT: University of Vermont, Research Center for Children, Youth, and Families, Burlington, 2000), a widely used measure for EBD, contains several norm-referenced scales derived through factor analysis of data from the general pediatric population. In this study, confirmatory factor analysis of archival data evaluated the adequacy of the CBCL factor model in a well characterized sample of preschoolers with ASD (= 128). Psychometric results supported the model and suggested that practitioners can use the CBCL to assess for EBD in young children with ASD in conjunction with other clinical data. This will increase the likelihood of accurate identification and EBD-specific intervention.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. Thirty-three items do not contribute to the seven syndrome scales and are labeled “Other Problems” on the CBCL protocol. These items contribute to the Total Problems score.

  2. The specific zero frequency cells are available upon request from the first author.

  3. An exploratory Full Information Maximum Likelihood analysis (Jöreskog and Moustaki 2006) with promax rotation identified two factors that were labeled Dyssomnia and Parasomnia. All factor loadings were of a relatively large magnitude. Except for wakes up often at night, each item exhibited a strong relationship with only one factor. Complete information about this analysis is available upon request from the first author.

  4. Tests of invariance were conducted (tau and parallel models) but resulted in improper solutions, most likely due to misspecification. Thus, congeneric solutions were accepted.

  5. Tables of these factor loadings are available upon request from the first author.

  6. As was the case for the syndrome scales, tests of invariance were problematic.

References

  • Achenbach, T. M., & Rescorla, L. A. (2000). Manual for the ASEBA Preschool Forms & Profiles. Burlington: VT: University of Vermont, Research Center for Children, Youth, and Families.

    Google Scholar 

  • Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246. doi:10.1037/0033-2909.107.2.238.

    Article  PubMed  Google Scholar 

  • Bentler, P. M. (1992). On the fit of models to covariances and methodology to the Bulletin. Psychological Bulletin, 112(3), 400–404. doi:10.1037/0033-2909.112.3.400.

    Article  PubMed  Google Scholar 

  • Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606. doi:10.1037/0033-2909.88.3.588.

    Article  Google Scholar 

  • Bonnett, D. G. (2003). Sample size requirements for comparing two alpha coefficients. Applied Psychological Measurement, 27, 72–74. doi:10.1177/0146621602239477.

    Article  Google Scholar 

  • Brereton, A. V., Tonge, B. J., & Einfeld, S. L. (2006). Psychopathology in children and adolescents with autism compared to young people with intellectual disability. Journal of Autism and Developmental Disorders, 36(7), 863–870. doi:10.1007/s10803-006-0125-y.

    Article  PubMed  Google Scholar 

  • Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum Associates.

    Google Scholar 

  • Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16–29. doi:10.1037/1082-989X.1.1.16.

    Article  Google Scholar 

  • 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. doi:10.1037/1082-989X.9.4.466.

    Article  PubMed  Google Scholar 

  • Gadow, K. D., DeVincent, C. J., Pomeroy, J., & Azizian, A. (2004). Psychiatric symptoms in preschool children with PDD and clinic and comparison samples. Journal of Autism and Developmental Disorders, 34(4), 379–393. doi:10.1023/B:JADD.0000037415.21458.93.

    Article  PubMed  Google Scholar 

  • Gilliam, J. E. (1995). Gilliam Autism Rating Scale. Austin, TX: Pro-Ed.

    Google Scholar 

  • Greer, T., Dunlap, W. P., & Beatty, G. O. (2003). A monte carlo evaluation of the tetrachoric correlation coefficient. Educational and Psychological Measurement, 63(6), 931–950. doi:10.1177/0013164403251318.

    Article  Google Scholar 

  • Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. San Diego, CA: Academic Press.

    Google Scholar 

  • Hollingshead, A. A. (1975). Four-factor index of social status. Unpublished manuscript, Yale University, New Haven, CT.

  • Hu, L., & 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 

  • Ivanova, M. Y., Achenbach, T. M., Dumenci, L., Rescorla, L. A., Almqvist, F., Weintraub, S., et al. (2007a). Testing the 8-syndrome structure of the child behavior checklist in 30 societies. Journal of Clinical Child and Adolescent Psychology, 36(3), 405–417.

    PubMed  Google Scholar 

  • Ivanova, M. Y., Achenbach, T. M., Rescorla, L. A., Dumenci, L., Almqvist, F., Bilenberg, N., et al. (2007b). The generalizability of the youth self report syndrome structure in 23 societies. Journal of Consulting and Clinical Psychology, 75(5), 729–738. doi:10.1037/0022-006X.75.5.729.

    Article  PubMed  Google Scholar 

  • Jöreskog, K., & Moustaki, I. (2006). Factor analysis of ordinal variables with full information maximum likelihood. http://www.ssicentral.com/lisrel/techdocs/orfiml.pdf.

  • Jöreskog, K., & Sörbom, D. (2006). LISREL 8.80. Lincolnwood, IL: Scientific Software International, Inc.

  • Kim, S., & Feldt, L. S. (2008). A comparison of tests for equality of two or more independent alpha coefficients. Journal of Educational Measurement, 45(2), 179–193. doi:10.1111/j.1745-3984.2008.00059.x.

    Article  Google Scholar 

  • Klinger, L. G., Dawson, G., & Renner, P. (2003). Autistic disorder. In E.J. Mash & R.A. Barkley (Eds.), Child Psychopathology (2nd Ed., pp. 409–454). New York: Guilford Press.

  • Lainhart, J. E. (1999). Psychiatric problems in individuals with autism, their parents, and siblings. International Review of Psychiatry (Abingdon, England), 11, 278–298. doi:10.1080/09540269974177.

    Article  Google Scholar 

  • Leyfer, O. T., Folstein, S. E., Bacalman, S., Davis, N. O., Dinh, E., Morgan, J., et al. (2006). Comorbid psychiatric disorders in children with autism: Interview development and rates of disorders. Journal of Autism and Developmental Disorders, 36, 849–861. doi:10.1007/s10803-006-0123-0.

    Article  PubMed  Google Scholar 

  • Lord, C., Rutter, M., DiLavore, P., & Risi, S. (2002). Autism diagnostic observation schedule: Manual. Los Angeles: Western Psychological Services.

    Google Scholar 

  • MacCallum, R. C., Browne, M. W., & Sugawara, H. M. (1996). Power analysis and determination of sample size for covariance structure modeling. Psychological Methods, 1, 130–149. doi:10.1037/1082-989X.1.2.130.

    Article  Google Scholar 

  • Matson, J. L., & Nebel-Schwalm, M. S. (2007). Comorbid psychopathology with autism spectrum disorder in children: An overview. Research in Developmental Disabilities, 28, 341–352. doi:10.1016/j.ridd.2005.12.004.

    Article  PubMed  Google Scholar 

  • Mullen, E. M. (1995). Mullen Scales of Early Learning. Circle Pines, MN: American Guidance Service.

    Google Scholar 

  • Ozonoff, S., Goodlin-Jones, B. L., & Solomon, M. (2005). Evidence-based assessment of autism spectrum disorders in children and adolescents. Journal of Clinical Child and Adolescent Psychology, 34(3), 523–540. doi:10.1207/s15374424jccp3403_8.

    Article  PubMed  Google Scholar 

  • Rutter, M., LeCouteur, A. L., & Lord, C. (2003). Autism Diagnostic Interview-Revised. Los Angeles: Western Psychological Services.

    Google Scholar 

  • Salvia, J. S., & Ysseldyke, J. E. (2001). Assessment (8th ed.). Boston: Houghton Mifflin.

    Google Scholar 

  • Satorra, A., & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (Eds.), Latent variable analysis: Applications to developmental research (pp. 399–419). Thousand Oaks, CA: Sage.

    Google Scholar 

  • Sikora, D. M., Hall, T. A., Hartley, S. L., Gerrard-Morris, A. E., & Cagle, S. (2008). Does parent report of behavior differ across ADOS-G classifications: Analysis of scores from the CBCL and GARS. Journal of Autism and Developmental Disorders, 38, 440–448. doi:10.1007/s10803-007-0407-z.

    Article  PubMed  Google Scholar 

  • Sparrow, S. S., Balla, D. A., & Cicchetti, D. V. (1984). Vineland Adaptive Behavior Scales-Interview Edition. Circle Pines, MN: American Guidance Service.

    Google Scholar 

  • Steiger, J. H., & Lind, J. M. (1980). Statistically based tests for the number of common factors. Paper presented at the meeting of the Psychometric Society, Iowa City, IA.

  • Wirth, R. J., & Edwards, M. C. (2007). Item factor analysis: Current approaches and future directions. Psychological Methods, 12(1), 58–79. doi:10.1037/1082-989X.12.1.58.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

This study was supported in part by NIH grant U54MH066397 (STAART Center) and General Clinical Research Center grant 5 MO1RR0044, NIH, National Center for Research Resources. The authors thank Courtney McGuire for her assistance in developing the database for this study. The authors also thank Dr. Gerhard Mels for his technical support for some of the statistical analyses, and Dr. Thomas Achenbach for allowing us to reproduce data from the Manual for the ASEBA Preschool Forms & Profiles.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vincent Pandolfi.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pandolfi, V., Magyar, C.I. & Dill, C.A. Confirmatory Factor Analysis of the Child Behavior Checklist 1.5–5 in a Sample of Children with Autism Spectrum Disorders. J Autism Dev Disord 39, 986–995 (2009). https://doi.org/10.1007/s10803-009-0716-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10803-009-0716-5

Keywords

Navigation