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Data quality, floor and ceiling effects, and test–retest reliability of the Mild Cognitive Impairment Questionnaire

Overview of attention for article published in Patient related outcome measures, January 2018
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Title
Data quality, floor and ceiling effects, and test–retest reliability of the Mild Cognitive Impairment Questionnaire
Published in
Patient related outcome measures, January 2018
DOI 10.2147/prom.s145676
Pubmed ID
Authors

Katherine Dean, Zuzana Walker, Crispin Jenkinson

Abstract

The Mild Cognitive Impairment Questionnaire (MCQ) is a 13-item measure that assesses health-related quality of life (HRQoL) in people with mild cognitive impairment (PWMCI); it has two domains assessing the emotional and practical effects. The aim of this study was to assess the psychometric properties of the MCQ. This is a longitudinal questionnaire-based study. The participants were recruited from the memory clinics and research databases in the South of England. A total of 299 people aged 50 years and older with a diagnosis of mild cognitive impairment confirmed within the preceding 12 months. MCQs were distributed to patients in memory clinics and those listed on research databases. Participants who returned completed questionnaires were sent a second copy of the MCQ to return 2 weeks after receiving the first questionnaire. Five hundred and seven questionnaires were distributed; response rates were 68.2% initially and 89.2% for the second questionnaire. From the returned questionnaires, response rates for each item were high (>98%) and a full range of responses for each item was received with no evidence of significant floor or ceiling effects. Internal consistency reliability for both scale scores at both time points was good, with Cronbach's a≥0.84 in all cases. Test-retest reliability was excellent for both domains with the intraclass correlation coefficients of 0.90 and 0.92 for the practical and emotional domains, respectively. Paired sample t-tests also confirmed the stability of scale score distributions over time. The MCQ has robust psychometric properties, which make it suitable for assessing HRQoL in PWMCI, including comparison of group level data in intervention studies.

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The data shown below were collected from the profiles of 4 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Researcher 5 12%
Lecturer 4 10%
Student > Ph. D. Student 4 10%
Other 1 2%
Other 4 10%
Unknown 16 39%
Readers by discipline Count As %
Medicine and Dentistry 6 15%
Neuroscience 5 12%
Psychology 5 12%
Nursing and Health Professions 3 7%
Computer Science 1 2%
Other 4 10%
Unknown 17 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 February 2018.
All research outputs
#16,053,755
of 25,382,440 outputs
Outputs from Patient related outcome measures
#93
of 196 outputs
Outputs of similar age
#255,125
of 449,550 outputs
Outputs of similar age from Patient related outcome measures
#6
of 8 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 196 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 47th percentile – i.e., 47% 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 449,550 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 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.