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Bridgette Kelleher

Biographic Data

ID5804226
NAMEBridgette Kelleher
GIVEN NAMESBridgette
FAMILY NAMEKelleher
SIGNATUREKELLEHER B
AFFILIATIONSPurdue University West Lafayette
ORCID0000-0001-7966-1837
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS2
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2020
LATEST PUBLICATION YEAR2026
H-INDEX1
  • The Development of Canonical Proportion as a Function of Community, Multilingualism, and Target Language’s Syllable Complexity

    Open Access•Kai Jia Tey, Sarah Walker et al.•ARTICLE•Journal of Child Language•2026

    This study investigates the development of canonical proportion (CP), an indicator of speech development, across diverse language and environmental contexts. Using the Speech Maturity Dataset (SMD) comprising 366 children, aged 0;2-6;4, across 10 different languages and cultures, we explore the influence of multilingual exposure, language syllable complexity, and community type (industrialised, non-industrialised) on CP. We find that monolingual …

  • When they just don’t sleep

    Open Access•Kimberly Galvez-Ortega, Kristine Marceau et al.•ARTICLE•Frontiers in Psychiatry•2024

    In summary, persistent child sleep disruptions were linked to exacerbated caregiver depression across the sample, while acute child sleep disruptions exacerbate caregiver stress within dyads over time. These findings emphasize the importance of addressing child sleep to enhance caregiver wellbeing and has potential relevance for a wide range of neurogenetic syndromes

  • The effects of service dogs for children with autism spectrum disorder and their caregivers

    Open Access•Kerri E Rodríguez, Mandy Rispoli et al.•ARTICLE•Frontiers in Psychiatry•2024

    In conclusion, service dogs were found to positively impact sleep behaviors among children with autism, but may not uniformly relate to other areas of child and caregiver wellbeing. Prospective longitudinal designs, larger sample sizes able to detect small effects, and studies that measure sleep using objective methods are needed to build on these findings

  • Statistical power for longitudinal developmental trajectories

    Open Access•Sean P Lane, Bridgette L Kelleher et al.•ARTICLE•Developmental Psychology•2023•Cited by: 2•References: 2

    Recruiting participants for studies of early-life longitudinal development is challenging, often resulting in practical upper bounds in sample size and missing data due to attrition. These factors pose risks for the statistical power of such studies depending on the intended analytic model. One mitigation strategy is to increase measurement precision by conducting assessments of children as close to a fixed chronological age as possible. We prese…

  • Towards Large-Scale Data Annotation of Audio from Wearables

    Chiara Semenzin, Lisa R Hamrick et al.•PREPRINT•2020

    Recent developments allow the collection of audio data from lightweight wearable devices, potentially enabling us to study language use from everyday life samples. However, extracting useful information from these data is currently impossible with automatized routines, and overly expensive with trained human annotators. We explore a strategy fit to the 21st century, relying on the collaboration of citizen scientists. A large dataset of infant spe…

  • Describing vocalizations in young children

    Chiara Semenzin, Lisa R Hamrick et al.•PREPRINT•2020

    Purpose:** Recording young children's vocalizations through wearables is a promising method to assess language development. However, accurately and rapidly annotating these files remains challenging. Online crowdsourcing with the collaboration of citizen scientists could be a feasible solution. In this paper, we assess the extent to which citizen scientists' annotations align with those gathered in the lab for recordings collected from young chil…

  • Statistical power for longitudinal developmental trajectories

    Open Access•Sean P Lane, Bridgette L Kelleher et al.•ARTICLE•Developmental Psychology•2023•Cited by: 2•References: 2

    Recruiting participants for studies of early-life longitudinal development is challenging, often resulting in practical upper bounds in sample size and missing data due to attrition. These factors pose risks for the statistical power of such studies depending on the intended analytic model. One mitigation strategy is to increase measurement precision by conducting assessments of children as close to a fixed chronological age as possible. We prese…

  • Towards Large-Scale Data Annotation of Audio from Wearables

    Chiara Semenzin, Lisa R Hamrick et al.•PREPRINT•2020

    Recent developments allow the collection of audio data from lightweight wearable devices, potentially enabling us to study language use from everyday life samples. However, extracting useful information from these data is currently impossible with automatized routines, and overly expensive with trained human annotators. We explore a strategy fit to the 21st century, relying on the collaboration of citizen scientists. A large dataset of infant spe…

  • Describing vocalizations in young children

    Chiara Semenzin, Lisa R Hamrick et al.•PREPRINT•2020

    Purpose:** Recording young children's vocalizations through wearables is a promising method to assess language development. However, accurately and rapidly annotating these files remains challenging. Online crowdsourcing with the collaboration of citizen scientists could be a feasible solution. In this paper, we assess the extent to which citizen scientists' annotations align with those gathered in the lab for recordings collected from young chil…

  • Statistical power for longitudinal developmental trajectories

    Open Access•Sean P Lane, Bridgette L Kelleher et al.•ARTICLE•Developmental Psychology•2023•Cited by: 2•References: 2

    Recruiting participants for studies of early-life longitudinal development is challenging, often resulting in practical upper bounds in sample size and missing data due to attrition. These factors pose risks for the statistical power of such studies depending on the intended analytic model. One mitigation strategy is to increase measurement precision by conducting assessments of children as close to a fixed chronological age as possible. We prese…

  • When they just don’t sleep

    Open Access•Kimberly Galvez-Ortega, Kristine Marceau et al.•ARTICLE•Frontiers in Psychiatry•2024

    In summary, persistent child sleep disruptions were linked to exacerbated caregiver depression across the sample, while acute child sleep disruptions exacerbate caregiver stress within dyads over time. These findings emphasize the importance of addressing child sleep to enhance caregiver wellbeing and has potential relevance for a wide range of neurogenetic syndromes

  • The effects of service dogs for children with autism spectrum disorder and their caregivers

    Open Access•Kerri E Rodríguez, Mandy Rispoli et al.•ARTICLE•Frontiers in Psychiatry•2024

    In conclusion, service dogs were found to positively impact sleep behaviors among children with autism, but may not uniformly relate to other areas of child and caregiver wellbeing. Prospective longitudinal designs, larger sample sizes able to detect small effects, and studies that measure sleep using objective methods are needed to build on these findings

  • The Development of Canonical Proportion as a Function of Community, Multilingualism, and Target Language’s Syllable Complexity

    Open Access•Kai Jia Tey, Sarah Walker et al.•ARTICLE•Journal of Child Language•2026

    This study investigates the development of canonical proportion (CP), an indicator of speech development, across diverse language and environmental contexts. Using the Speech Maturity Dataset (SMD) comprising 366 children, aged 0;2-6;4, across 10 different languages and cultures, we explore the influence of multilingual exposure, language syllable complexity, and community type (industrialised, non-industrialised) on CP. We find that monolingual …

Psychology (4 works) · Annotation (2 works) · Anxiety (2 works) · Artificial Intelligence (2 works) · Child Nutrition and Feeding Issues (2 works) · Citizen science (2 works) · Clinical Psychology (2 works) · Clinical Psychology (2 works) · Computer Science (2 works) · Medicine (2 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae