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Measurement of stable changes of self-management skills after rehabilitation: a latent state–trait analysis of the Health Education Impact Questionnaire (heiQ™)

Overview of attention for article published in Quality of Life Research, April 2014
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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6 X users

Citations

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67 Mendeley
Title
Measurement of stable changes of self-management skills after rehabilitation: a latent state–trait analysis of the Health Education Impact Questionnaire (heiQ™)
Published in
Quality of Life Research, April 2014
DOI 10.1007/s11136-014-0693-9
Pubmed ID
Authors

M. Schuler, G. Musekamp, J. Bengel, M. Schwarze, K. Spanier, Chr. Gutenbrunner, I. Ehlebracht-König, S. Nolte, R. H. Osborne, H. Faller

Abstract

To assess stable effects of self-management programs, measurement instruments should primarily capture the attributes of interest, for example, the self-management skills of the measured persons. However, measurements of psychological constructs are always influenced by both aspects of the situation (states) and aspects of the person (traits). This study tests whether the Health Education Impact Questionnaire (heiQ™), an instrument assessing a wide range of proximal outcomes of self-management programs, is primarily influenced by person factors instead of situational factors. Furthermore, measurement invariance over time, changes in traits and predictors of change for each heiQ™ scale were examined.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Switzerland 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 12 18%
Student > Ph. D. Student 9 13%
Student > Bachelor 5 7%
Professor 4 6%
Other 13 19%
Unknown 11 16%
Readers by discipline Count As %
Medicine and Dentistry 14 21%
Nursing and Health Professions 12 18%
Psychology 9 13%
Social Sciences 7 10%
Computer Science 3 4%
Other 8 12%
Unknown 14 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 December 2014.
All research outputs
#7,595,520
of 23,301,510 outputs
Outputs from Quality of Life Research
#866
of 2,937 outputs
Outputs of similar age
#74,779
of 228,878 outputs
Outputs of similar age from Quality of Life Research
#9
of 29 outputs
Altmetric has tracked 23,301,510 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,937 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 228,878 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.