A child development researcher can encounter quite a few challenges when wanting to measure multiple data streams. How do you make that run as smoothly as possible plus integrate all data seamlessly?
The advantages of using multimodal data over a single modality are that it reveals deeper insights and also if one modality fails there can be enough redundancy in the data to still make sense of it.
The EU-AIMS and AIMS-2-TRIALS projects have carried out some interesting studies teasing out the causes of anxiety in children with autism.
Although children tend to spend more time indoor in sitting activities, they need feelings of exhilaration for behavioral development. Researchers investigated how risky play behavior can be encouraged.
Developing motor skills appears to be related to language abilities. The research team of Sandy Gonzalez investigated whether consistency in handedness predicts receptive and expressive language.
To examine if a specific repertoire of repetitive movements was present in children with autism, researchers used home videos to code the behaviors of the infants.
Children learn from interacting with others, especially their parents. For example, reproducing the emotions that others express is part of that.
Researchers perform infant studies to properly monitor and understand all kinds of development factors. In this blog post, five examples of infant studies are highlighted.
Our understanding of autism spectrum disorder (ASD) has developed a great deal over recent years, but there is still much work to be done.
Adolescents are vulnerable to risk-taking behaviors such as substance use. Dr. Roy Otten and his team examined how early childhood stress and inhibitory control influence the risk of adolescent substance use.