ArticleData in brief2024
Data representing expert ratings of emotional tone in adjectives used to describe infants and young children.
Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Associations Between New Mothers' Neural Reward Response and Perceptions of Their Own Infant.Developmental psychobiology · 2026Article
- Evidence that prenatal care visit experiences influence perceptions of the child.Communications psychology · 2025Article
- Reading the mind in infant eyes test: A measure of the recognition of infant emotion.Development and psychopathology · 2025Article
- Exploring how pregnant people in recovery from opioid use disorder describe their child during pregnancy.Neurotoxicology and teratologyArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The way caregivers think of their infants and young children may impact caregiving behavior. One way to assess caregivers' thoughts of their young children is to prompt them to describe the child's personality. Popular methods to analyzing valenced language include the use of software approaches, which have limitations in scoring and application. The present investigation offers an alternative scoring system for the emotional tone of words and phrases relevant to descriptions of infants and children. Using a database of personality descriptions provided by pregnant people and parents to describe their child's personality, we asked experts in infant mental health and related disciplines (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.