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Selecting score types for longitudinal evaluations: the responsiveness of the Comprehensive Developmental Inventory for Infants and Toddlers in children with developmental disabilities

Overview of attention for article published in Neuropsychiatric Disease and Treatment, May 2016
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Title
Selecting score types for longitudinal evaluations: the responsiveness of the Comprehensive Developmental Inventory for Infants and Toddlers in children with developmental disabilities
Published in
Neuropsychiatric Disease and Treatment, May 2016
DOI 10.2147/ndt.s99171
Pubmed ID
Authors

Yu-Pei Tsai, Li-Chen Tung, Ya-Chen Lee, Yu-Lin Wang, Yun-Shan Yen, Kuan-Lin Chen

Abstract

The objective of this study was to examine the responsiveness of the Comprehensive Developmental Inventory for Infants and Toddlers (CDIIT) in children with developmental disabilities (DD). The responsiveness of a measure is its ability to detect change over time, and it is fundamental to an outcome measure for detecting changes over time. We compared the responsiveness of four types of scores (ie, raw scores, developmental ages [DAs], percentile ranks [PRs], and developmental quotients [DQs]) in the five subtests of the CDIIT. The CDIIT was administrated three times at intervals of 3 months on 32 children with DD aged between 5 months and 64 months (mean =30.6, standard deviation [SD] =17.8). The CDIIT is a pediatric norm-referenced assessment commonly used for clinical diagnosis of developmental delays in five developmental areas: cognition, language, motor, social, and self-care skills. The responsiveness was analyzed using three methods: effect size, standardized response mean, and paired t-test. The effect size results showed that at the 3-month and 6-month follow-ups, responsiveness was small or moderate in the raw scores and DAs of most of the subtest scores of the CDIIT, but the level of responsiveness varied in the PRs and DQs. The standardized response mean results of the 3-month and 6-month follow-ups showed that most of the subtest scores of the CDIIT had respectively moderate and large responsiveness in raw scores and DAs, but the responsiveness varied (from no to large) in PRs and DQs. The findings generally support the use of the CDIIT as an outcome measure. We also suggest using the raw scores and DAs when using a norm-referenced pediatric developmental assessment to evaluate developmental changes and program effectiveness in children with DD.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 16%
Student > Ph. D. Student 6 16%
Student > Bachelor 5 13%
Researcher 5 13%
Other 2 5%
Other 3 8%
Unknown 11 29%
Readers by discipline Count As %
Medicine and Dentistry 7 18%
Psychology 4 11%
Nursing and Health Professions 4 11%
Neuroscience 3 8%
Social Sciences 2 5%
Other 6 16%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 May 2016.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Neuropsychiatric Disease and Treatment
#1,901
of 3,132 outputs
Outputs of similar age
#191,109
of 311,862 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#72
of 99 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,132 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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