Kaylee Litson1, Christian Geiser1, G Leonard Burns2, Mateu Servera3. 1. a Department of Psychology , Utah State University. 2. b Department of Psychology , Washington State University. 3. c Department of Psychology , University of the Balearic Islands.
Abstract
OBJECTIVE: We examined the stable trait and variable state components of ADHD-inattention (IN), ADHD-hyperactivity/impulsivity (HI), and academic impairment (AI) dimensions using mothers', fathers', primary and secondary teachers' ratings of children's behavior at home and school. We also examined between-informant agreement with regard to trait and state components. METHOD: Mothers, fathers, primary and secondary teachers rated HI, IN, and AI in N = 758 Spanish first grade children (55% boys) over three measurement occasions across 12 months. RESULTS: Latent state-trait analyses revealed that mothers', fathers', and primary teachers' (but not secondary teachers') ratings reflected more trait variance for ADHD-HI (M = 73%), ADHD-IN (M = 74%), and AI (M = 76%) than occasion-specific variance (M = 27%, M = 26%, and M = 24%, respectively). Fathers' ratings shared a meaningful level of trait variance with mothers' ratings of ADHD-HI and ADHD-IN (range 78% to 82%), whereas primary and secondary teachers' ratings shared lower levels of trait variance with mothers' ratings (range 41% to 63%). The trait components of fathers', primary teachers', and secondary teachers' ratings of AI showed high levels of convergence with mothers' ratings (88%, 70%, and 59% respectively). CONCLUSIONS: ADHD symptom reports reflect both trait (48 to 86%) and state (14 to 53%) variance components. The lower amount of shared variability between home and school suggests the setting-specificity of trait and state components of ADHD symptoms. Our findings indicate that ADHD symptom reports may reflect context-specific traits, suggesting the importance of differentiating and targeting ADHD behaviors across different settings.
OBJECTIVE: We examined the stable trait and variable state components of ADHD-inattention (IN), ADHD-hyperactivity/impulsivity (HI), and academic impairment (AI) dimensions using mothers', fathers', primary and secondary teachers' ratings of children's behavior at home and school. We also examined between-informant agreement with regard to trait and state components. METHOD: Mothers, fathers, primary and secondary teachers rated HI, IN, and AI in N = 758 Spanish first grade children (55% boys) over three measurement occasions across 12 months. RESULTS: Latent state-trait analyses revealed that mothers', fathers', and primary teachers' (but not secondary teachers') ratings reflected more trait variance for ADHD-HI (M = 73%), ADHD-IN (M = 74%), and AI (M = 76%) than occasion-specific variance (M = 27%, M = 26%, and M = 24%, respectively). Fathers' ratings shared a meaningful level of trait variance with mothers' ratings of ADHD-HI and ADHD-IN (range 78% to 82%), whereas primary and secondary teachers' ratings shared lower levels of trait variance with mothers' ratings (range 41% to 63%). The trait components of fathers', primary teachers', and secondary teachers' ratings of AI showed high levels of convergence with mothers' ratings (88%, 70%, and 59% respectively). CONCLUSIONS:ADHD symptom reports reflect both trait (48 to 86%) and state (14 to 53%) variance components. The lower amount of shared variability between home and school suggests the setting-specificity of trait and state components of ADHD symptoms. Our findings indicate that ADHD symptom reports may reflect context-specific traits, suggesting the importance of differentiating and targeting ADHD behaviors across different settings.
Authors: Stephen P Becker; G Leonard Burns; Daniel R Leopold; Richard K Olson; Erik G Willcutt Journal: J Child Psychol Psychiatry Date: 2018-06-29 Impact factor: 8.982
Authors: Raquel Seijas; Mateu Servera; Gloria García-Banda; G Leonard Burns; Jonathan Preszler; Christopher T Barry; Kaylee Litson; Christian Geiser Journal: J Abnorm Child Psychol Date: 2019-01
Authors: Eriona Thartori; Antonio Zuffianò; Concetta Pastorelli; Maria Gerbino; Carolina Lunetti; Ainzara Favini; Emanuele Basili; Laura Di Giunta; Dario Bacchini; Jennifer E Lansford Journal: PLoS One Date: 2019-01-09 Impact factor: 3.240