Kaylee Litson

Analyzing person, situation and person × situation interaction effects: Latent state-trait models for the combination of random and fixed situations.

Latent state-trait (LST) models (Steyer, Ferring, & Schmitt, 1992) allow separating person-specific (trait) effects from (1) effects of the situation and person × situation interactions, and (2) random measurement error in purely observational studies. Typical LST applications use measurement designs in which all situations are sampled randomly and do not have to be known for any individual. Limitations of conventional LST models for only random situations are that traits are implicitly assumed to generalize perfectly across situations, and that main effects of situations are inseparable from person × situation interaction effects because both are measured by the same latent variable. In this article, we show how these limitations can be overcome by using measurement designs in which two or more random situations are nested within two or more fixed situations that are known for each individual. We present extended LST models for the combination of random and fixed situations (LST-RF approach) and show that the extensions allow (1) examining the extent to which traits are situation-specific and (2) isolating person × situation interactions from situation main effects. We demonstrate that the LST-RF approach can be applied with both homogenous and heterogeneous indicators in either the single- or multilevel structural equation modeling frameworks. Advantages and limitations of the new models as well as their relation to other approaches for studying person × situation interactions are discussed.

Trait and State Variance in Multi-Informant Assessments of ADHD and Academic Impairment in Spanish First-Grade Children

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.

Examining Trait × Method Interactions Using Mixture Distribution Multitrait–Multimethod Models

Multitrait-multimethod (MTMM) analyses are used in psychology to assess convergent and discriminant validity and to study method effects. Most current MTMM approaches assume that measures have equal convergent and discriminant validity across the entire range of trait values and thus do not account for potential trait × method interactions. A novel approach is presented that allows analyzing trait × method interactions using factor mixture modeling. The new MTMM mixture model allows identifying latent classes of individuals who differ with respect to convergent and discriminant validity. The new approach was applied to mother’s and father’s ratings of children’s attention deficit hyperactivity disorder (ADHD) symptoms (N = 618). Results revealed four latent classes: one with no symptom levels, two with low symptom levels, and one with moderate symptom levels. Three classes showed evidence for convergent and discriminant validity, whereas a low symptom class lacked convergent validity for ratings of inattention. Keywords: mixture distribution, factor mixture model, convergent and discriminant validity, multitrait-multimethod analysis

Trait and State Variance in Oppositional Defiant Disorder Symptoms: A Multi-Source Investigation With Spanish Children.

The objective was to determine and compare the trait and state components of oppositional defiant disorder (ODD) symptom reports across multiple informants. Mothers, fathers, primary teachers, and secondary teachers rated the occurrence of the ODD symptoms in 810 Spanish children (55% boys) on 2 occasions (end first and second grades). Single source latent state-trait (LST) analyses revealed that ODD symptom ratings from all 4 sources showed more trait (M = 63%) than state residual (M = 37%) variance. A multiple source LST analysis revealed substantial convergent validity of mothers’ and fathers’ trait variance components (M = 68%) and modest convergent validity of state residual variance components (M = 35%). In contrast, primary and secondary teachers showed low convergent validity relative to mothers for trait variance (Ms = 31%, 32%, respectively) and essentially zero convergent validity relative to mothers for state residual variance (Ms = 1%, 3%, respectively). Although ODD symptom ratings reflected slightly more trait- than state-like constructs within each of the 4 sources separately across occasions, strong convergent validity for the trait variance only occurred within settings (i.e., mothers with fathers; primary with secondary teachers) with the convergent validity of the trait and state residual variance components being low to nonexistent across settings. These results suggest that ODD symptom reports are trait-like across time for individual sources with this trait variance, however, only having convergent validity within settings. Implications for assessment of ODD are discussed.

How Consistent Is Sluggish Cognitive Tempo Across Occasions, Sources, and Settings? Evidence From Latent State–Trait Modeling

Research has yet to determine how much of the variance in sluggish cognitive tempo (SCT) symptom ratings is consistent across occasions, sources, and settings versus specific to occasion, source, and setting. Our first objective was to determine the amount of variance in SCT ratings that was consistent (trait consistency) across three occasions of measurement over 12 months versus specific to the occasion (occasion-specificity) with ratings by mothers, fathers, primary teachers, and secondary teachers of 811 Spanish children. Our second objective was then to determine the convergent validity for trait consistency and occasion-specificity variance components within and across settings. SCT ratings reflected mostly trait consistency for mothers, fathers, and primary teachers (less so for secondary teachers) with the convergent validity for trait consistency also being strong for mothers with fathers and for primary teachers with secondary teachers. Across home and school, however, convergent validity for trait consistency was low and even lower for occasion-specificity. SCT appears to be more trait-like rather than state-like, with similar levels of trait consistency across occasions and convergent validity within settings as attention-deficit/hyperactivity disorder (ADHD) symptoms in a prior study. However, SCT symptoms had slightly weaker convergent validity for trait consistency across settings relative to ADHD symptoms.

Analyzing Statistical Mediation with Multiple Informants: A New Approach with an Application in Clinical Psychology

Testing mediation models is critical for identifying potential variables that need to be targeted to effectively change one or more outcome variables. In addition, it is now common practice for clinicians to use multiple informant (MI) data in studies of statistical mediation. By coupling the use of MI data with statistical mediation analysis, clinical researchers can combine the benefits of both techniques. Integrating the information from MIs into a statistical mediation model creates various methodological and practical challenges. The authors review prior methodological approaches to MI mediation analysis in clinical research and propose a new latent variable approach that overcomes some limitations of prior approaches. An application of the new approach to mother, father, and child reports of impulsivity, frustration tolerance, and externalizing problems (N = 454) is presented. The results showed that frustration tolerance mediated the relationship between impulsivity and externalizing problems. The new approach allows for a more comprehensive and effective use of MI data when testing mediation models.

Consistency of Limited Prosocial Emotions Across Occasions, Sources, and Settings: Trait- or State-Like Construct in a Young Community Sample?

Limited prosocial emotions (LPE, also referred to as callous-unemotional [CU] traits) are considered to reflect a more trait- than state-like construct. Our first objective was to determine the amount true score variance in CU/LPE that was consistent (trait consistency) over two occasions (12-month interval) of measurement versus specific (occasion-specificity) to each occasion. Our second objective was to determine the convergent validity of the consistent (trait) and occasion-specific (state) variance in CU/LPE symptom ratings within and across settings. Mothers, fathers, primary teachers, and ancillary teachers rated the CU/LPE symptoms in sample of 811 Spanish children (55% boys) on two occasions (i.e., end of first and second grades). CU/LPE symptom ratings showed more trait consistency than occasion-specificity for mothers and fathers, slightly more occasion-specificity than trait consistency for primary teachers, and much more occasion-specificity than trait consistency for ancillary teachers. Convergent validity for trait consistency was strong for fathers with mothers but weaker for primary with ancillary teachers. There was essentially no convergent validity for either trait consistency or occasion-specificity across home and school settings. CU/LPE symptom ratings within this age range represented a more trait-like construct for mothers and fathers and more state-like construct for primary teachers and ancillary teachers. In contrast, earlier studies showed ADHD and ODD ratings to be trait-like within and across home and school. The study of CU/LPE in young children should therefore include multiple sources in multiple settings across occasions to better understand the consistent and occasion-specific nature of the CU/LPE construct.