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Extending basic principles of measurement models to the design and validation of Patient Reported Outcomes

Overview of attention for article published in Health and Quality of Life Outcomes, September 2006
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2 X users

Citations

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Title
Extending basic principles of measurement models to the design and validation of Patient Reported Outcomes
Published in
Health and Quality of Life Outcomes, September 2006
DOI 10.1186/1477-7525-4-65
Pubmed ID
Authors

Mark J Atkinson, Richard D Lennox

Abstract

A recently published article by the Scientific Advisory Committee of the Medical Outcomes Trust presents guidelines for selecting and evaluating health status and health-related quality of life measures used in health outcomes research. In their article, they propose a number of validation and performance criteria with which to evaluate such self-report measures. We provide an alternate, yet complementary, perspective by extending the types of measurement models which are available to the instrument designer. During psychometric development or selection of a Patient Reported Outcome measure it is necessary to determine which, of the five types of measurement models, the measure is based on; 1) a Multiple Effect Indicator model, 2) a Multiple Cause Indicator model, 3) a Single Item Effect Indicator model, 4) a Single Item Cause Indicator model, or 5) a Mixed Multiple Indicator model. Specification of the measurement model has a major influence on decisions about item and scale design, the appropriate application of statistical validation methods, and the suitability of the resulting measure for a particular use in clinical and population-based outcomes research activities.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 2%
Korea, Republic of 1 2%
United Kingdom 1 2%
Canada 1 2%
Greece 1 2%
Unknown 54 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 17%
Researcher 9 15%
Other 7 12%
Student > Master 7 12%
Student > Doctoral Student 6 10%
Other 15 25%
Unknown 5 8%
Readers by discipline Count As %
Medicine and Dentistry 29 49%
Psychology 6 10%
Social Sciences 5 8%
Economics, Econometrics and Finance 2 3%
Computer Science 2 3%
Other 7 12%
Unknown 8 14%
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 13 November 2018.
All research outputs
#15,256,901
of 22,687,320 outputs
Outputs from Health and Quality of Life Outcomes
#1,300
of 2,154 outputs
Outputs of similar age
#59,003
of 67,384 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#8
of 10 outputs
Altmetric has tracked 22,687,320 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 2,154 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 67,384 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.