Emotions play a crucial role in appraisal of experiences and environments and in guiding thoughts and actions. Moreover, executive function (EF) and emotion regulation (ER) have received much attention, not only for positive associations with children’s social–emotional functioning, but also for potential central roles in cognitive functioning. In one conceptualization of ER (Campos etal., 2004), processes of ER, and those of emotional expression and experience (hereafter referred to as emotionality) are highly related and reciprocal; yet, there has been little research on young children’s EF that focuses on emotionality, although it is easily observed within a classroom. The two goals of the study were to: (1) investigate the relatively unexplored role of emotionality in the development of EF in early childhood and (2) assess the relations between an observational rating of EF obtained after direct assessment with a standardized EF rating scale. We predicted that observed emotionality and EF would both demonstrate stability and predict one another within and across time. 175 children aged 35–60 months were recruited from Head Start and private childcare centers. Using partial least squares modeling, we chose T1 emotionality as the exogenous variable and tested pathways between emotionality and EF across two time points, 6 months apart. Results showed that both T1 observed EF and emotionality predicted their respective T2 counterparts, supporting the idea that both constructs build upon existing systems. Further, T1 emotionality predicted T1 observed EF and the T2 BRIEF-P composite. In turn, T1 observed EF predicted emotionality and the T2 BRIEF-P composite. These findings fit with literature on older populations in which EF and emotionality have been related, yet are the first to report such relations in early childhood. Last, T1 observed EF’s positive prediction of the T2 BRIEF-P composite lends credence to the use of both EF measures in applied and research settings.

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These 2 studies investigated the factor structure of the Wechsler Intelligence Scale for Children-4th edition (WISC-IV; Wechsler, 2003a) with exploratory factor analysis (EFA; Study 1) and confirmatory factor analysis (CFA; Study 2) among 2 independent samples of gifted students. The EFA sample consisted of 225 children who were referred for a cognitive assessment as part of the application for gifted programming in their schools. The CFA sample consisted of 181 students who were tested the following year. All students included in the analyses were either accepted to school-based gifted programs following the assessment or were already participating in one. Across the 2 studies, there were approximately equal numbers of boys (205) and girls (201) with a mean age of 8-years-old. The mean composite scores for both samples varied from high average to superior and evidenced substantial differences among the index scores. In the EFA, the 2-, 3-, 4-, and 5-factor solutions were considered. The first 3 models, as well as an additional model reflecting the Verbal and Performance (V-P) IQ scores from previous versions of the WISC, were then compared using CFA. The CFA fit indices and parameter estimates supported the 4-factor, first-order WISC-IV model. This is the measurement model that includes the 4 index scores. Parameter estimates for the higher-order model reflecting g suggested that combining factors into a single, overarching score may not be the best way to represent the varying cognitive scores of gifted students.

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