2016
DOI: 10.1080/15374416.2015.1118693
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Trait and State Variance in Multi-Informant Assessments of ADHD and Academic Impairment in Spanish First-Grade Children

Abstract: 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.

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Cited by 18 publications
(31 citation statements)
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“…This analysis used mothers as the reference source due to the use of mothers as the reference source in the earlier studies (Litson et al, 2016; Preszler et al, 2016). The Mplus code for this model is available from the corresponding author.…”
Section: Methodsmentioning
confidence: 99%
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“…This analysis used mothers as the reference source due to the use of mothers as the reference source in the earlier studies (Litson et al, 2016; Preszler et al, 2016). The Mplus code for this model is available from the corresponding author.…”
Section: Methodsmentioning
confidence: 99%
“…Two recent studies applied single and multiple source LST models to ADHD-IN, ADHD-hyperactivity/impulsivity (HI), and oppositional defiant disorder (ODD) symptom ratings in Spanish children (Litson, Geiser, Burns, & Servera, 2016; Preszler, Burns, Litson, Geiser, & Servera, 2016). Each study involved the same four sources (mothers, fathers, primary teachers, and secondary teachers) rating Spanish children in the first and second grades.…”
Section: Trait and Occasion-specific Variance In Adhd-in Adhd-hi Anmentioning
confidence: 99%
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“…The separation of trait and state residual variance in ODD symptoms also has implications for the analysis of the convergent validity of the ODD dimension within and across settings (Courvoisier, Nussbeck, Eid, Geiser, & Cole, 2008; Litson et al, in press). A multiple source LST model allows one to determine the proportion of trait and state residual variance that is either shared or not shared between a reference source (e.g., mothers) and non-reference sources (e.g., fathers, teachers).…”
mentioning
confidence: 99%
“…A multiple source LST model allows one to determine the proportion of trait and state residual variance that is either shared or not shared between a reference source (e.g., mothers) and non-reference sources (e.g., fathers, teachers). With two sources in the home (mothers and fathers) and two sources in the school (primary and secondary teachers), Litson and colleagues (in press) showed that trait variance in ADHD-IN and ADHD-HI constructs showed high levels of convergent validity within settings (78% to 82%) and moderate convergent validity across settings (i.e., school to home, 41% to 63%). State residual variance showed small to moderate convergent validity within settings (i.e., 29% to 53%) but essentially zero (0% to 2%) convergent validity across settings.…”
mentioning
confidence: 99%