Skip to main content

Advertisement

Log in

Application of the Bifactor S – 1 Model to Multisource Ratings of ADHD/ODD Symptoms: an Appropriate Bifactor Model for Symptom Ratings

  • Published:
Journal of Abnormal Child Psychology Aims and scope Submit manuscript

Abstract

The symmetrical bifactor model is often applied to attention-deficit/hyperactivity disorder (ADHD)-hyperactive/impulsive (HI), ADHD-inattentive (IN), and oppositional defiant disorder (ODD) symptoms, but this model frequently yields anomalous or inadmissible results. An alternative model, the bifactor S – 1 model, is more appropriate for examining the hierarchical structure of ADHD/ODD symptoms. Both models were applied to ADHD-HI, ADHD-IN, and ODD symptom ratings by mothers, fathers, and teachers for 2142 Spanish children (49.49% girls; ages 8–13 years). The symmetrical bifactor model yielded the typical anomalous loadings, with a weakly defined ADHD-HI specific factor and difficult to interpret associations of general and specific factors with correlates. In contrast, the bifactor S – 1 model with ADHD-HI symptoms as general reference factor produced clearly interpretable results. For mothers and fathers, slightly more than 50% of true score variance in ADHD-IN and ODD symptoms represented specific residual variance not shared with the general ADHD-HI reference factor. For teachers, approximately 69% and 39% of true score variance in ADHD-IN and ODD symptoms, respectively, represented specific residual variance not shared with the general ADHD-HI reference factor. The general ADHD-HI reference factor and specific ADHD-IN and ODD residual factors showed convergent and discriminant validity across sources, along with unique associations with peer rejection, social impairment, and academic impairment factors. The bifactor S – 1 model also yielded results consistent with predictions from trait-impulsivity theory of ADHD/ODD development. Researchers should use the bifactor S – 1 model rather than the symmetrical bifactor model if hypotheses involve the latent hierarchical structure of ADHD/ODD symptoms.

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.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

Notes

  1. Several studies first applied the symmetrical bifactor model to ADHD-HI, ADHD-IN, and ODD symptoms and, with anomalous results (i.e., a specific ADHD-HI factor with no factor variance and negative loadings), then switched to a model referred to as an incomplete bifactor model (i.e., no specific factor for hyperactivity symptoms but with specific factors for ADHD-IN, ADHD-impulsivity and ODD symptoms, e.g., Rodenacker et al. 2017, 2018; Ullebø et al. 2012). These studies therefore switched from the fully symmetrical to an incomplete bifactor model without awareness of the interpretational differences between the fully symmetrical and incomplete models (i.e., in these studies the general factor became a general ADHD-hyperactivity reference factor with specific ADHD-IN, ADHD-impulsivity and ODD residual factors in the incomplete bifactor model).

  2. Invariance of like-symptom loadings and like-symptom thresholds occurred for ADHD-HI, ADHD-IN, and ODD symptoms across boys and girls within each source. Boys had significantly (ps < .001) higher factor means than girls on the general ADHD-HI reference factor for mothers, fathers, and teachers (i.e., latent d values: M = .30, SE = .07, M = .40, SE = .07, and M = .58, SE = .10, respectively).

References

  • Arias, V. B., Ponce, F. P., & Núñez, D. E. (2018). Bifactor models of attention-deficit/hyperactivity disorder (ADHD): An evaluation of three necessary but underused psychometric indexes. Assessment, 25, 885–897. https://doi.org/10.1177/1073191116679260.

    Article  PubMed  Google Scholar 

  • Beauchaine, T. P. (2015). Future directions in emotion dysregulation and youth psychopathology. Journal of Clinical Child and Adolescent Psychology, 44, 875–896. https://doi.org/10.1080/15374416.2015.1038827.

    Article  PubMed  Google Scholar 

  • Beauchaine, T. P., & Constantino, J. N. (2017). Redefining the endophenotype concept to accommodate transdiagnostic vulnerabilities and etiological complexity. Biomarkers in Medicine, 11, 769–780. https://doi.org/10.2217/bmm-2017-0002.

    Article  PubMed  PubMed Central  Google Scholar 

  • Beauchaine, T. P., & McNulty, T. (2013). Comorbidities and continuities as ontogenic processes. Toward a developmental spectrum model of externalizing psychopathology. Development and Psychopathology, 25, 1505–1528. https://doi.org/10.1017/S0954579413000746.

    Article  PubMed  PubMed Central  Google Scholar 

  • Beauchaine, T. P., Zisner, A., & Sauder, C. L. (2017). Trait impulsivity and the externalizing spectrum. Annual Review of Clinical Psychology, 13, 343–368. https://doi.org/10.1146/annurev-clinpsy-021815-093253.

    Article  PubMed  Google Scholar 

  • Becker, S. P., Burns, G. L., Schmitt, A. P., Epstein, J. N., & Tamm, L. (2019). Toward establishing a standard symptom set for assessing sluggish cognitive tempo in children: Evidence from teacher ratings in a community sample. Assessment, 26, 1128–1141. https://doi.org/10.1177/1073191117715732.

    Article  PubMed  Google Scholar 

  • Burns, G. L., & Becker, S. P. (2019). Sluggish cognitive tempo and ADHD symptoms in a nationally representative sample of U.S. children: Differentiation using categorical and dimensional approaches. Journal of Clinical Child and Adolescent Psychology. Advance online publication. https://doi.org/10.1080/15374416.2019.1678165.

  • Burns, G. L., Lee, S., Servera, M., McBurnett, K., & Becker, S. P. (2015). Child and adolescent behavior inventory–Parent version 1.0. Pullman: Authors.

    Google Scholar 

  • Burns, G. L., Moura, M. A., Beauchaine, T. P., & McBurnett, K. (2014a). Bifactor latent structure of ADHD/ODD symptoms: Predictions of dualpathway/trait-impulsivity etiological models of ADHD. Journal of Child Psychology and Psychiatry, 55, 393–401.https://doi.org/10.1111/jcpp.12165.

  • Burns, G. L., Servera, M., Bernard, M., Carrillo, J. M., & Geiser, C. (2014b). Ratings of ADHD symptoms and academic impairment by mothers, fathers, teachers and aides: Construct validity within and across settings as well as occasions. Psychological Assessment, 26, 1247–1258. https://doi.org/10.1037/pas0000008.

    Article  PubMed  Google Scholar 

  • Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., et al. (2014). The p factor: One general psychopathology factor in the structure of psychiatric disorders. Clinical Psychological Science, 2, 119–137. https://doi.org/10.1177/2167702613497473.

    Article  PubMed  PubMed Central  Google Scholar 

  • Diamond, A. (2005). Attention deficit disorder (ADHD without hyperactivity): A neurological and behavioral distinct disorder from ADHD (with hypeactivity). Development and Psychopathology, 17, 807-825. https://doi.org/10.1017/S0954579405050388.

  • Dishion, T. J. (1990). The peer context of troublesome child and adolescent behavior. In P. E. Leone (Ed.), Understanding troubled and troubling youth: Multiple perspectives (pp. 128–153). Thousand Oaks: Sage.

    Google Scholar 

  • DuPaul, G. J., Reid, R., Anastopoulos, A. D., Lambert, M. C., Watkins, M. W., & Power, T. J. (2015). Parent and teacher ratings of attention-deficit/hyperactivity disorder symptoms: Factor structure and normative data. Psychological Assessment, 28, 214–225. https://doi.org/10.1037/pas0000166.

    Article  PubMed  Google Scholar 

  • Eid, M., Geiser, C., Koch, T., & Heene, M. (2017). Anomalous results in G-factor models: Explanations and alternatives. Psychological Methods, 22, 541–562. https://doi.org/10.1037/.met0000083.

    Article  PubMed  Google Scholar 

  • Eid, M., Krumm, S., Koch, T., & Schulze, J. (2018). Bifactor models for predicting criteria by general and specific factors: Problems of nonidentifiability and alternative solutions. Journal of Intelligence. Advance online publication. https://doi.org/10.3390/jintelligence6030042.

  • Fair, D. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Milham, M. P. (2013). Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data. Frontiers in Systems Neuroscience, 6, 80. https://doi.org/10.3389/fnsys.2012.00080.

  • Gatzke-Kopp, L. M., Beauchaine, T. P., Shannon, K. E., Chipman, J., Fleming, A. P., Crowell, S. E., & Aylward, E. (2009). Neurological correlates of reward responding in adolescents with conduct disorder and/or attention-deficit/hyperactivity disorder. Journal of Abnormal Psychology, 118, 203–213.

  • Geiser, C., Bishop, J., & Lockhart, G. (2015). Collapsing factors in multitrait-multimethod models: Examining consequences of a mismatch between measurement design and model. Frontiers in Psychology, 6, 946. https://doi.org/10.3389/fpsyg.2015.00946.

    Article  PubMed  PubMed Central  Google Scholar 

  • Heinrich, M., Zagorscak, P., Eid, M., & Knaevelsrud, C. (2018). Giving G a meaning: An application of the bifactor-(S-1) approach to realize a more symptom-oriented modeling of the Beck Depression Inventory–II. Assessment. Advance online publication. https://doi.org/10.1177/1073191118803738.2016.1144192.

  • Holzinger, K., & Swineford, F. (1937). The bi-factor method. Psychometrika, 2, 41–54. https://doi.org/10.1007/BF02287965.

    Article  Google Scholar 

  • Lee, S. Y., Burns, G. L., Beauchaine, T. P., & Becker, S. P. (2016). Bifactor latent structure of ADHD/ODD symptoms and the first-order latent structure of sluggish cognitive tempo symptoms. Psychological Assessment, 28, 917–928. https://doi.org/10.1037/pas0000232.

  • Martel, M. M., Gremillion, M., Roberts, B., von Eye, A., & Nigg, J. T. (2010). The structure of childhood disruptive behaviors. Psychological Assessment, 22, 816–826. https://doi.org/10.1037/a0020975.

    Article  PubMed  PubMed Central  Google Scholar 

  • McDonough-Caplan, H. M., & Beauchaine, T. P. (2018). Conduct disorder: A neurodevelopmental perspective. In M. M. Martel (Ed.), Developmental pathways to disruptive, impulse-control, and conduct disorders (pp. 53–89). Cambridge, MA: Elsevier.

  • Reise, S. P. (2012). The rediscovery of the bifactor measurement models. Multivariate Behavioral Research, 47, 667–696. https://doi.org/10.1080/00273171.2012.715555.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rodenacker, K., Hautmann, C., Görtz-Dorten, A., & Döpfner, M. (2016). Bifactor models show a superior fit: Examination of the factorial validity of parent-reported and self-reported symptoms of attention-deficit/hyperactivity disorders in children and adolescents. Psychopathology, 49, 31–39. https://doi.org/10.1159/000442295.

    Article  PubMed  Google Scholar 

  • Rodenacker, K., Hautmann, C., Görtz-Dorten, A., & Döpfner, M. (2017). The factor structure of ADHD—different models, analyses, and informants in a bifactor framework. Journal of Psychopathology and Behavioral Assessment, 39, 92–102. https://doi.org/10.1007/s10862-016-9565-7.

    Article  Google Scholar 

  • Rodenacker, K., Hautmann, C., Görtz-Dorten, A., & Döpfner, M. (2018). Evidence for the trait-impulsivity etiological models in a clinical sample: Bifactor structure and its relation to impairment and environmental risk. Journal of Abnormal Child Psychology, 46, 659–669. https://doi.org/10.1007/s10802-017-0329-y.

    Article  PubMed  Google Scholar 

  • Sáez, B., Servera, M., Becker, S. P., & Burns, G. L. (2018). Optimal items for assessing sluggish cognitive tempo in children across mother, father, and teacher ratings. Journal of Clinical Child and Adolescent Psychology, 48, 825–839.

  • Servera, M., Sáez, B., Burns, G. L., & Becker, S. P. (2018). Clinical differentiation of sluggish cognitive tempo and attention-deficit/hyperactivity disorder in children. Journal of Abnormal Psychology, 127, 818–829. https://doi.org/10.1037/abn0000375.

    Article  PubMed  PubMed Central  Google Scholar 

  • Ullebø, A. K., Breivik, K., Gillberg, C., Lundervold, A. J., & Posserud, M. B. (2012). The factor structure of ADHD in a general population of primary school children. Journal of Child Psychology and Psychiatry, and Allied Disciplines, 53, 927–936. https://doi.org/10.1111/j.1469-7610.2012.02549.x.

    Article  PubMed  Google Scholar 

  • Watts, A. L., Poore, H. E., & Waldman, I. D. (2019). Risker tests of the validity of the bifactor model of psychopathology. Clinical Psychological Science: Advance online publication. https://doi.org/10.1177/2167702619855035.

  • Willcutt, E. G., Nigg, J. T., Pennington, B. F., Solanto, M. V., Rohde, L. A., Tannock, R., . . . Lahey, B. B. (2012). Validity of DSM-IV attention deficit/hyperactivity disorder symptom dimensions and subtypes. Journal of Abnormal Psychology, 121, 991–1010. https://doi.org/10.1037/a0027347.

Download references

Acknowledgements

This research was supported by two grants from the Ministry of Economy and Competitiveness of Spanish Government under award numbers PSI2014-52605-R and PSI2017-82550-R (AEI/FEDER, UE), and a predoctoral fellowship co-financed by MINECO (Spanish Government) and the European Social Fund (BES-2015-075142). Stephen Becker is supported by award number K23MH108603 from the National Institute of Mental Health (NIMH). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health (NIH) or the Spanish Government. We thank Cristina Trias for assistance with the study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G. Leonard Burns.

Ethics declarations

Conflict of Interest

The authors of the current study have no conflicts of interest.

Ethical Approval

The research protocol was approved by the Research Ethics Committee (Institutional Review Board [IRB]) of the University of the Balearic Islands.

Informed Consent

Mothers, fathers, and teachers provided written informed consent.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

ESM 1

(DOCX 14 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Burns, G.L., Geiser, C., Servera, M. et al. Application of the Bifactor S – 1 Model to Multisource Ratings of ADHD/ODD Symptoms: an Appropriate Bifactor Model for Symptom Ratings. J Abnorm Child Psychol 48, 881–894 (2020). https://doi.org/10.1007/s10802-019-00608-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10802-019-00608-4

Keywords

Navigation