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Giving voice to the child perspective: psychometrics and relative precision findings for the Child Health Questionnaire self-report short form (CHQ-CF45)

Overview of attention for article published in Quality of Life Research, May 2018
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Title
Giving voice to the child perspective: psychometrics and relative precision findings for the Child Health Questionnaire self-report short form (CHQ-CF45)
Published in
Quality of Life Research, May 2018
DOI 10.1007/s11136-018-1873-9
Pubmed ID
Authors

Jeanne M. Landgraf, Amy van Grieken, Hein Raat

Abstract

To derive and evaluate a shorter self-report Child Health Questionnaire (CHQ) legacy measure for use in research and clinical trials/care. Stepwise regression, factor analysis, and item scaling principles were used to derive and guide item selection, using data from a large general sample in the Netherlands (n = 933). Feasibility was assessed in a school sample (n = 114) and item internal consistency, discriminant validity, floor, and ceiling effects were evaluated using an external larger validation sample in the US (n = 1468). Reliabilities were estimated using Cronbach's alpha. Relative precision (RP), the ability to distinguish between clinical subgroups, was computed by comparing the proportion of variance explained by the short-form scales vs. respective full-length scales. The CHQ-CF was reduced from 87 to 45 items. The median alpha coefficient was 0.89. Ninety-seven to 100% scaling successes for item discriminant validity were observed. Floor effects were not observed; some ceiling effects were detected. RP estimates ranged from 0.73 to 1.37. The CHQ-SF45 is reliable and valid and exceeds item level scaling criteria.

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Mendeley readers

Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 27%
Student > Doctoral Student 6 15%
Student > Ph. D. Student 5 12%
Other 2 5%
Student > Bachelor 2 5%
Other 5 12%
Unknown 10 24%
Readers by discipline Count As %
Psychology 9 22%
Medicine and Dentistry 7 17%
Nursing and Health Professions 3 7%
Computer Science 3 7%
Social Sciences 2 5%
Other 4 10%
Unknown 13 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 09 July 2018.
All research outputs
#18,641,800
of 23,094,276 outputs
Outputs from Quality of Life Research
#2,076
of 2,922 outputs
Outputs of similar age
#253,813
of 328,339 outputs
Outputs of similar age from Quality of Life Research
#44
of 77 outputs
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