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A Cross-Validated Approach towards Identifying the Unique and Cumulative Contributions of Child and Family Factors Predictive of Speech-Language Therapy Start Time.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Cross-Validated Approach towards Identifying the Unique and Cumulative Contributions of Child and Family Factors Predictive of Speech-Language Therapy Start Time./
作者:
Elmquist, Marianne.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:
131 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Contained By:
Dissertations Abstracts International83-05B.
標題:
Speech therapy. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28716498
ISBN:
9798460481408
A Cross-Validated Approach towards Identifying the Unique and Cumulative Contributions of Child and Family Factors Predictive of Speech-Language Therapy Start Time.
Elmquist, Marianne.
A Cross-Validated Approach towards Identifying the Unique and Cumulative Contributions of Child and Family Factors Predictive of Speech-Language Therapy Start Time.
- Ann Arbor : ProQuest Dissertations & Theses, 2021 - 131 p.
Source: Dissertations Abstracts International, Volume: 83-05, Section: B.
Thesis (Ph.D.)--University of Minnesota, 2021.
This item must not be sold to any third party vendors.
Language is an important milestone in early childhood and paves the way for later achievement and outcomes. Early identification and communication-focused interventions can provide additional environmental supports to foster language development for children who face challenges in acquiring language. To accurately identify and predict who may be likely to receive speech/language services, it is crucial to understand the unique contribution and the cumulative effect of factors that best predict speech-language service status and service receipt start time. Using data from the Early Childhood Longitudinal Study - Birth Cohort (ELCS-B), the current study sought to identify, within a bio-ecobehavioral framework, the unique and combined contribution of child and family factors predictive of speech-language therapy (SLT) start time. Multinomial logistic regression was used to evaluate child and family factors predictive of SLT start time. In addition, k-fold cross-validation was performed to assess generalizability. The final model accurately predicted SLT start time 62% of the time and only included child-related factors. The presence of an intellectual and developmental disability (IDD), prelinguistic performance, cognitive growth, and the number of words said at 24-months all provided a unique contribution in predicting SLT start time.
ISBN: 9798460481408Subjects--Topical Terms:
520446
Speech therapy.
Subjects--Index Terms:
Cross-validation
A Cross-Validated Approach towards Identifying the Unique and Cumulative Contributions of Child and Family Factors Predictive of Speech-Language Therapy Start Time.
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Language is an important milestone in early childhood and paves the way for later achievement and outcomes. Early identification and communication-focused interventions can provide additional environmental supports to foster language development for children who face challenges in acquiring language. To accurately identify and predict who may be likely to receive speech/language services, it is crucial to understand the unique contribution and the cumulative effect of factors that best predict speech-language service status and service receipt start time. Using data from the Early Childhood Longitudinal Study - Birth Cohort (ELCS-B), the current study sought to identify, within a bio-ecobehavioral framework, the unique and combined contribution of child and family factors predictive of speech-language therapy (SLT) start time. Multinomial logistic regression was used to evaluate child and family factors predictive of SLT start time. In addition, k-fold cross-validation was performed to assess generalizability. The final model accurately predicted SLT start time 62% of the time and only included child-related factors. The presence of an intellectual and developmental disability (IDD), prelinguistic performance, cognitive growth, and the number of words said at 24-months all provided a unique contribution in predicting SLT start time.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28716498
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