Item response theory (IRT) and categorical data factor analysis (CDFA) are complementary methods for the analysis of the psychometric properties of psychiatric measures that purport to measure latent constructs. These methods have been applied to relatively few child and adolescent measures. We provide the first combined IRT and CDFA analysis of a clinical measure (the Short Mood and Feelings Questionnaire—SMFQ) in a community sample of 7-through 11-year-old children. Both latent variable models supported the internal construct validity of a single underlying continuum of severity of depressive symptoms. SMFQ items discriminated well at the more severe end of the depressive latent trait. Item performance was not affected by age, although age correlated significantly with latent SMFQ scores suggesting that symptom severity increased within the age period of 7–11. These results extend existing psychometric studies of the SMFQ and confirm its scaling properties as a potential dimensional measure of symptom severity of childhood depression in community samples.
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ACKNOWLEDGMENTS
The authors are grateful to all the families and schools who participated. We also wish to thank Sarah Moore, Heather Brown, Penny Hazell and Maria Loades for helping with data collection and entry, and Dr. Melanie Merricks and Dr. Carol Stott for valuable discussion. Carla Sharp was supported by an NHS Post-Doctoral Fellowship, University of Cambridge, UK. Tim Croudace was supported by a Dept of Health Career Scientist Award (Public Health).
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Sharp, C., Goodyer, I.M. & Croudace, T.J. The Short Mood and Feelings Questionnaire (SMFQ): A Unidimensional Item Response Theory and Categorical Data Factor Analysis of Self-Report Ratings from a Community Sample of 7-through 11-Year-Old Children. J Abnorm Child Psychol 34, 365–377 (2006). https://doi.org/10.1007/s10802-006-9027-x
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DOI: https://doi.org/10.1007/s10802-006-9027-x