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An in-depth psychometric analysis of the Connor-Davidson Resilience Scale: calibration with Rasch-Andrich model

Overview of attention for article published in Health and Quality of Life Outcomes, September 2015
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Title
An in-depth psychometric analysis of the Connor-Davidson Resilience Scale: calibration with Rasch-Andrich model
Published in
Health and Quality of Life Outcomes, September 2015
DOI 10.1186/s12955-015-0345-y
Pubmed ID
Authors

Víctor B. Arias González, María Teresa Crespo Sierra, Benito Arias Martínez, Agustín Martínez-Molina, Fernando P. Ponce

Abstract

The Connor-Davidson Resilience Scale (CD-RISC) is inarguably one of the best-known instruments in the field of resilience assessment. However, the criteria for the psychometric quality of the instrument were based only on classical test theory. The aim of this paper has focused on the calibration of the CD-RISC with a nonclinical sample of 444 adults using the Rasch-Andrich Rating Scale Model, in order to clarify its structure and analyze its psychometric properties at the level of item. Two items showed misfit to the model and were eliminated. The remaining 22 items form basically a unidimensional scale. The CD-RISC has good psychometric properties. The fit of both the items and the persons to the Rasch model was good, and the response categories were functioning properly. Two of the items showed differential item functioning. The CD-RISC has an obvious ceiling effect, which suggests to include more difficult items in future versions of the scale.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 175 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 15%
Student > Ph. D. Student 22 13%
Student > Bachelor 22 13%
Student > Doctoral Student 18 10%
Researcher 15 9%
Other 37 21%
Unknown 36 20%
Readers by discipline Count As %
Psychology 68 39%
Social Sciences 16 9%
Medicine and Dentistry 14 8%
Nursing and Health Professions 13 7%
Unspecified 4 2%
Other 19 11%
Unknown 42 24%
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 24 September 2015.
All research outputs
#15,347,611
of 22,829,083 outputs
Outputs from Health and Quality of Life Outcomes
#1,304
of 2,158 outputs
Outputs of similar age
#160,866
of 274,809 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#23
of 51 outputs
Altmetric has tracked 22,829,083 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 274,809 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.