ReviewClinical child and family psychology review2019
Towards Scalable, Integrative Assessment of Children's Self-Regulatory Capabilities: New Applications of Digital Technology.
Review in Clinical child and family psychology review, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 30 citations in OpenAlex.
- Validation of a mobile game-based assessment of cognitive control among children and adolescents.PloS one · 2020Trial
- Incorporating Evidence-Based Gamification and Machine Learning to Assess Preschool Executive Function: A Feasibility Study.Brain sciences · 2024Article
- Playful Testing of Executive Functions with Yellow-Red: Tablet-Based Battery for Children between 6 and 11.Journal of Intelligence · 2022Article
- Towards an Integrative Taxonomy of Social-Emotional Competences.Frontiers in psychology · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The assessment of self-regulation in children is of significant interest to researchers within education, clinical and developmental psychology, and clinical neuroscience, given its importance to adaptive functioning across a wide range of social, educational, interpersonal, educational and health domains. Because self-regulation is a complex, multidimensional construct, a range of assessment approaches have been developed to assess its various components including behavioural, cognitive and emotional domains. In recent years, digital technology has been increasingly used to enhance or supplement existing measurement approaches; however, developments have predominantly focused on translating traditional testing paradigms into digital formats. There is a need for more innovation in digital psychological assessments that harness modern mechanisms such as game-based design and interactivity. Such approaches have potential for the development of scalable, adaptable universal approaches to screening and assessment of children's self-regulatory capabilities, to facilitate early identification of difficulties in individuals and also guide planning and decision-making at a population level. We highlight a novel, innovative digital assessment tool for children called Rumble's Quest, a new measure of children's socio-emotional functioning that shows promise as an integrative assessment of well-being and self-regulation, and which incorporates both self-report and direct assessment of cognitive self-regulation. This tool is scalable, can be integrated into normal classroom activities, and forms part of a comprehensive prevention support system that can be used to guide stakeholders' decision-making regarding early intervention and support at the individual, classroom, school and community level. We finish by discussing other innovative possibilities for psychological assessment with children, using new and emerging technologies and assessment approaches.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.