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Disruption Leads to Methodological and Analytic Innovation in Developmental Sciences: Recommendations for Remote Administration and Dealing With Messy Data
The COVID-19 pandemic has impacted data collection for longitudinal studies in developmental sciences to an immeasurable extent. Restrictions on conducting in-person standardized assessments have led to disruptive innovation, in which novel methods are applied to increase participant engagement. Her...
Autores principales: | Krogh-Jespersen, Sheila, MacNeill, Leigha A., Anderson, Erica L., Stroup, Hannah E., Harriott, Emily M., Gut, Ewa, Blum, Abigail, Fareedi, Elveena, Fredian, Kaitlyn M., Wert, Stephanie L., Wakschlag, Lauren S., Norton, Elizabeth S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8764157/ https://www.ncbi.nlm.nih.gov/pubmed/35058833 http://dx.doi.org/10.3389/fpsyg.2021.732312 |
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