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Measurement invariance across chronic conditions: a systematic review and an empirical investigation of the Health Education Impact Questionnaire (heiQ™)

Overview of attention for article published in Health and Quality of Life Outcomes, April 2014
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  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
Measurement invariance across chronic conditions: a systematic review and an empirical investigation of the Health Education Impact Questionnaire (heiQ™)
Published in
Health and Quality of Life Outcomes, April 2014
DOI 10.1186/1477-7525-12-56
Pubmed ID
Authors

Michael Schuler, Gunda Musekamp, Jürgen Bengel, Sandra Nolte, Richard H Osborne, Hermann Faller

Abstract

To examine whether lack of measurement invariance (MI) influences mean comparisons among different disease groups, this paper provides (1) a systematic review of MI in generic constructs across chronic conditions and (2) an empirical analysis of MI in the Health Education Impact Questionnaire (heiQ™).

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
United States 1 1%
South Africa 1 1%
Unknown 93 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 20%
Student > Ph. D. Student 16 17%
Student > Master 10 10%
Student > Bachelor 8 8%
Professor 5 5%
Other 20 21%
Unknown 18 19%
Readers by discipline Count As %
Medicine and Dentistry 32 33%
Psychology 16 17%
Nursing and Health Professions 11 11%
Social Sciences 9 9%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 7 7%
Unknown 20 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 07 October 2014.
All research outputs
#8,474,037
of 25,373,627 outputs
Outputs from Health and Quality of Life Outcomes
#961
of 2,297 outputs
Outputs of similar age
#79,688
of 241,747 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#12
of 31 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 2,297 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 57% 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 241,747 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 66% of its contemporaries.
We're also able to compare this research output to 31 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 61% of its contemporaries.