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The meaning of vaguely quantified frequency response options on a quality of life scale depends on respondents’ medical status and age

Overview of attention for article published in Quality of Life Research, April 2016
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Title
The meaning of vaguely quantified frequency response options on a quality of life scale depends on respondents’ medical status and age
Published in
Quality of Life Research, April 2016
DOI 10.1007/s11136-016-1293-7
Pubmed ID
Authors

Stefan Schneider, Arthur A. Stone

Abstract

Self-report items in quality of life (QoL) scales commonly use vague quantifiers like "sometimes" or "often" to measure the frequency of health-related experiences. This study examined whether the meaning of such vaguely quantified response options differs depending on people's medical status and age, which may undermine the validity of QoL group comparisons. Respondents (n = 600) rated the frequency of positive and negative QoL experiences using vague quantifiers (never, rarely, sometimes, often, always) and provided open-ended numeric frequency counts for the same items. Negative binomial regression analyses examined whether the numeric frequencies associated with each vague quantifier differed between medical status (no vs. one or more medical conditions) and age (18-40 vs. 60+ years) groups. Compared to respondents without a chronic condition, those with a medical condition assigned a higher numeric frequency to the same vague quantifiers for negative QoL experiences; this effect was not evident for positive QoL experiences. Older respondents' numeric frequencies were more extreme (i.e., lower at the low end and somewhat higher at the high end of the response range) than those of younger respondents. After adjusting for these effects, differences in QoL became somewhat more pronounced between medical status groups, but not between age groups. The results suggest that people with different medical backgrounds and age do not interpret vague frequency quantifiers on a QoL scale in the same way. Open-ended numeric frequency reports may be useful to detect and potentially correct for differences in the meaning of vague quantifiers.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Student > Ph. D. Student 5 14%
Student > Master 5 14%
Other 4 11%
Student > Doctoral Student 2 5%
Other 3 8%
Unknown 11 30%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Psychology 6 16%
Social Sciences 3 8%
Nursing and Health Professions 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 11%
Unknown 12 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 12 April 2016.
All research outputs
#18,450,346
of 22,860,626 outputs
Outputs from Quality of Life Research
#1,998
of 2,847 outputs
Outputs of similar age
#220,303
of 300,876 outputs
Outputs of similar age from Quality of Life Research
#34
of 53 outputs
Altmetric has tracked 22,860,626 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,847 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 53 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.