Planned missing data in early literacy interventions

Autor: Rippe, R.C.A., Merkelbach, I., Kotozaki Yuka
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Male
Maternal Health
Psychological intervention
Social Sciences
Vocabulary
law.invention
Families
0504 sociology
Randomized controlled trial
Sociology
law
Pregnancy
Medicine and Health Sciences
Early Intervention
Educational

Child
Children
Randomized Controlled Trials as Topic
Grammar
Multidisciplinary
Schools
05 social sciences
050301 education
Obstetrics and Gynecology
Replicate
Reference Standards
Cognitive Linguistics
Semantics
Professions
Word Recognition
Convergent validity
Research Design
Medicine
Female
Psychology
Clinical psychology
Research Article
Science
Replication Studies
Research and Analysis Methods
Preterm Birth
Phonology
Education
Literacy
Replication (statistics)
Humans
Infant
Newborn

050401 social sciences methods
Reproducibility of Results
Teachers
Linguistics
Gold standard (test)
Missing data
Pregnancy Complications
Age Groups
Word recognition
People and Places
Birth
Women's Health
Population Groupings
0503 education
Zdroj: PLoS ONE
PLoS ONE, Vol 16, Iss 3, p e0249175 (2021)
PLoS ONE, 16(3). Public Library of Science (PLoS)
Popis: Introduction In a digital early literacy intervention RCT, children born late preterm fell behind peers when in a control condition, but outperformed them when assigned to the intervention. Results did however not replicate previous findings. Replication is often complicated by resource quality. Gold Standard measures are generally time-intensive and costly, while they closely align with, and are more sensitive to changes in, early literacy and language performance. A planned missing data approach, leaving these gold standard measures incomplete, might aid in addressing the origin(s) of non-replication. Methods Participants after consent were 695 p Dutch primary school pupils of normal and late preterm birth. The high-quality measures, in additional to simpler but complete measures, were intentionally administered to a random subsample of children. Five definitions of gold standard alignment were evaluated. Results Two out of five gold standard levels improved precision compared to the original results. The lowest gold standard level did not lead to improvement: precision was actually diminished. In two gold standard definitions, an alphabetical factor and a writing-only factor the model estimates were comparable to the original results. Only the most precise definition of the gold standard level replicated the original results. Conclusion Gold standard measures could only be used to improve model efficiency in RCT-designs under sufficiently high convergent validity.
Databáze: OpenAIRE