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Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools

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Using the Mobile Toolbox in child and adolescent samples: A feasibility study.

Stephanie Ruth Young¹, Miriam Alana Novack¹, Elizabeth M Dworak¹

¹Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.

Child Development

|January 13, 2024

Summary

The Mobile Toolbox (MTB) is a promising smartphone-based cognitive assessment for youth. This pilot study shows high completion and good reliability, supporting its use in developmental research.

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Area of Science:

Developmental Psychology
Cognitive Neuroscience
Digital Health

Background:

Cognitive research in developmental samples needs scalable, diverse, and open science methods.
Remote, self-administered assessments are crucial for modern research.
The Mobile Toolbox (MTB) is a novel smartphone-based cognitive battery.

Purpose of the Study:

To provide initial evidence supporting the use of the Mobile Toolbox (MTB) in youth populations.
To evaluate the feasibility and psychometric properties of the MTB in a pilot sample of children.
To assess the MTB's utility for large-scale, diverse, and open science initiatives.

Main Methods:

A pilot study involving 99 children (mean age 11.79 years) was conducted.
Participants self-administered the remote smartphone-based cognitive battery (MTB).
Data analyzed included completion rates, practice performance, internal consistency, and correlations with NIH Toolbox measures.

Main Results:

High completion rates (95%-99%) and practice performance (96%-100%) were observed.
Internal consistency ranged from 0.60 to 0.98 across measures.
Correlations with similar NIH Toolbox measures were moderate to strong (0.55-0.77), with some inconsistencies noted.

Conclusions:

The Mobile Toolbox (MTB) shows promising feasibility and preliminary validity for cognitive assessment in youth.
Findings support the MTB's potential for large-scale, diverse, and open developmental science.
Further research is encouraged to validate and refine the MTB for broader application.