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Background: Maximizing measurement accuracy is an important aim in child development assessment and research. Parents are essential informants in the diagnostic process, and past research suggests that certain parental characteristics may influence how they report information about their children. This has not been studied in autism spectrum disorders (ASD) to date. We aimed, therefore, to investigate the possible effect that maternal depression might have on a mother's reports of her child's ASD behaviors. Using structural equation modeling, we disaggregated shared from unique variation in the association between latent variable measures of maternal depression and ASD behaviors. Methods: Data were obtained from a study of preschoolers aged 2-4 newly diagnosed with ASD ( n = 214). Information from a parent questionnaire, a semi-structured parent interview, and a semi-structured observational assessment was used to develop a latent variable measure of child ASD behaviors. Mothers reported on their own depression symptoms. We first modeled the covariance between maternal depression and child ASD behavior. Then, to quantify unique variation, we added covariance terms between maternal depression and the residual variation associated with the individual measures of child ASD behaviors. Results: The model demonstrated excellent fit to the underlying data. Maternal self-report of depression symptoms exhibited a significant association with the unique variance of the questionnaire report but not with the latent variable measure of child ASD behavior. A gradient pattern of association was demonstrated between maternal depression and the unique variance of the ASD measures: most strongly for the maternal questionnaire report, more weakly for the maternal semi-structured interview, and to a trivial extent for the observational interview. Conclusions: Parental depression may influence reporting of ASD behaviors in preschoolers. Shared method effects may also contribute to bias. This finding highlights the importance of obtaining multimethod reports of child ASD symptoms. [ABSTRACT FROM AUTHOR]

Background: Although structured interviews are assumed to be scientifically superior to checklists for measuring youth psychopathology, few studies have tested this hypothesis. Interviews place a much greater burden on respondents, making it critical to determine their added value when quantifying psychiatric symptoms. Methods: Confirmatory factor analysis was used to compare interviews and checklists in community ( N = 251) and clinically referred ( N = 406) samples of youth aged 5 to 17 years. We examined the associations between mother-reported externalizing symptoms assessed by interview versus checklist against (a) teacher-reported externalizing symptoms, and (b) child’s gender, academic performance, single- versus two-parent family, and family income. Models in which associations were estimated freely were contrasted to models in which the interview and the checklist were constrained to have equal associations with the variables. Finding these models fit comparably would suggest no difference between interviews and checklists. Results: In the community sample, both the constrained and unconstrained models provided comparable fit to the data, suggesting no marked differences between interviews and checklists. In the clinical sample, associations with the interview were generally stronger. Reducing the number of items on the interview to match those on the 6-item checklist eliminated these differences, suggesting that the increased reliability of the interview scales, afforded by additional items, enhanced their quantification of psychopathology. Conclusions: Consistent with previous studies, interviews were not notably superior to checklists for the measurement of externalizing symptoms. When only a few items are used, small performance differences between checklists and interviews may be due to scale length. [ABSTRACT FROM AUTHOR]