Validity of the Computerized Battery for Neuropsychological Evaluation of Children (BENCI) in Spanish Children: Preliminary Results

Evaluation instruments for executive functions in children and adolescents: an update of a systematic review

INTRODUCTION

The aim of this study is to update a systematic review of instruments for evaluating the executive functions (EFs) in a pediatric population to assess their measurement properties.

AREA COVERED

Studies describing evaluation tools of EFs were systematically searched on four electronic databases: PubMed, EBSCO, Scopus, and Web of Science. To be included studies had to be on a population aged 0 to 18 were included. The individuals were either healthy or presented a neurodevelopment disorder. Risk of Bias was evaluated through the Consensus-based Standards to select the health Measurement Instruments (COSMIN).

EXPERT OPINION

The search was conducted on April 2023. Eighty-four papers met the inclusion criteria and were included in the study; the studies refer to 72 different evaluation tools of EFs. Most of the studies analyzed through a methodological quality analysis received an 'adequate' score. The instrument most mentioned was the Behavior Rating Inventory of Executive Function-2 (BRIEF2) in seven articles.

Using the Indonesian Computer-Based Game Prototype as a Computer-Based Game Inventory for Executive Function in Children and Adolescents: A Confirmatory Factor Analysis and Concurrent Validity Study

Executive function influences children's learning abilities and organizes their cognitive processes, behaviors, and emotions. This cross-sectional study examined whether an Indonesian Computer-Based Game (ICbG) prototype could be used as a Computer-Based Game Inventory for Executive Function (CGIEF) in children and adolescents. The study was conducted with 200 children, adolescents, and their parents. The parents completed the Behavior Rating Inventory of Executive Functioning (BRIEF) questionnaire, and the children and adolescents completed the CGIEF. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were performed using LISREL Version 8.80. The construct of CGIEF was valid/fit with normal theory-weighted least squares = 15.75 (p > .05). SEM analysis showed that the theoretical construct of the CGIEF was a valid predictor of executive function. The critical t value of the pathway was 2.45, and normal theory-weighted least squares was 5.74 (p > .05). The construct reliability (CR) for CGIEF was 0.91. Concurrent validity was assessed using the Bland-Altman plot, and the coefficient of repeatability (bias/mean) was nearly zero between the t scores of total executive functions of the CGIEF and BRIEF. This preliminary study showed that the CGIEF can be useful as a screening tool for executive dysfunction, metacognitive deficits, and behavioral regulation problems among children and adolescents in clinical samples.

Development and validation of the Executive Functioning Scale

Executive functioning (EF) processes are essential for adaptive and flexible responding to the demands and complexities of everyday life. Conversely, if impaired, these processes are a key transdiagnostic risk factor that cuts across autism and a range of other neurodevelopmental (NDD) and neuropsychiatric (NPD) conditions. However, there are currently no freely available informant-report measures that comprehensively characterize non-affective (e.g., working memory, response inhibition, and set shifting) and affective (e.g., emotion regulation) EF subdomains. This study describes the development, refinement, and initial psychometric evaluation of a new 52-item Executive Functioning Scale (EFS). Two independent data collections yielded exploratory (n = 2004, 169 with autism, ages 2-17) and confirmatory (n = 954, 74 with autism, ages 2-17) samples. Exploratory Structural Equation Modeling (ESEM) model with six specific factors that closely matched hypothesized executive functioning subdomains of working memory and sequencing, response inhibition, set-shifting, processing speed, emotion regulation, and risk avoidance, and one general factor, showed the best fit to the data and invariance across age, sex, race, and ethnicity groups. Model reliability and internal consistency were excellent for the general factor (ω = 0.98; α = 0.97) and specific factors (ω ≥ 0.89-0.96; α ≥ 0.84-0.94). Conditional reliability estimates indicated excellent reliability (≥0.90) for the total EF scale and adequate or better reliability (≥0.70) for subscale scores. With further replication, the EFS has excellent potential for wide adoption across research and clinical contexts.