Preregistration in infant research—A primer
Autor: | Christina Bergmann, Naomi Havron, Sho Tsuji |
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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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