Preregistration in infant research—A primer

Autor: Christina Bergmann, Naomi Havron, Sho Tsuji
Rok vydání: 2020
Předmět:
Value (ethics)
Biomedical Research
Best practice
PsyArXiv|Social and Behavioral Sciences|Developmental Psychology|Language Aquisition
Population
PsyArXiv|Social and Behavioral Sciences|Developmental Psychology
MEDLINE
PsyArXiv|Meta-science
PsyArXiv|Social and Behavioral Sciences|Developmental Psychology|Toddlerhood/Preschool Period
050105 experimental psychology
Statistical power
Child Development
Credibility
Developmental and Educational Psychology
Humans
bepress|Social and Behavioral Sciences|Psychology|Child Psychology
PsyArXiv|Social and Behavioral Sciences|Developmental Psychology|Infancy
0501 psychology and cognitive sciences
bepress|Social and Behavioral Sciences|Psychology|Developmental Psychology
education
bepress|Life Sciences|Research Methods in Life Sciences
education.field_of_study
PsyArXiv|Social and Behavioral Sciences|Developmental Psychology|Cognitive Development
Actuarial science
PsyArXiv|Social and Behavioral Sciences|Developmental Psychology|Social Development
05 social sciences
Infant
Child development
PsyArXiv|Social and Behavioral Sciences
PsyArXiv|Social and Behavioral Sciences|Developmental Psychology|Perceptual Development
Research Design
Sample size determination
Data Interpretation
Statistical

Infant Behavior
Pediatrics
Perinatology and Child Health

bepress|Social and Behavioral Sciences
Psychology
050104 developmental & child psychology
Zdroj: Infancy
ISSN: 1532-7078
1525-0008
DOI: 10.1111/infa.12353
Popis: Preregistration, the act of specifying a research plan in advance, is becoming a central step in the way science is conducted. Preregistration for infant researchers might be different than in other fields, due to the specific challenges having to do with testing infants. Infants are a hard-to-reach population, usually yielding small sample sizes, they have a low attention span which usually can limit the number of trials, and they can be excluded based on hard to predict complications (e.g., parental interference, fussiness). In addition, as effects themselves potentially change with age and population, it is hard to calculate an a priori effect size. At the same time, these very factors make preregistration in infant studies a valuable tool. A priori examination of the planned study, including the hypotheses, sample size, and resulting statistical power, increase the credibility of single studies and thus add value to the field. It might arguably also improve explicit decision-making to create better studies. We present an in-depth discussion of the issues uniquely relevant to infant researchers, and ways to contend with them in preregistration and study planning. We provide recommendations to researchers interested in following current best practices.
Databáze: OpenAIRE
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