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Mode effects between computer self-administration and telephone interviewer-administration of the PROMIS® pediatric measures, self- and proxy report

Overview of attention for article published in Quality of Life Research, January 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

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60 Mendeley
Title
Mode effects between computer self-administration and telephone interviewer-administration of the PROMIS® pediatric measures, self- and proxy report
Published in
Quality of Life Research, January 2016
DOI 10.1007/s11136-015-1221-2
Pubmed ID
Authors

Brooke E. Magnus, Yang Liu, Jason He, Hally Quinn, David Thissen, Heather E. Gross, Darren A. DeWalt, Bryce B. Reeve

Abstract

To test equivalence of scores obtained with the PROMIS(®) pediatric Depressive Symptoms, Fatigue, and Mobility measures across two modes of administration: computer self-administration and telephone interviewer-administration. If mode effects are found, to estimate the magnitude and direction of the mode effects. Respondents from an internet survey panel completed the child self-report and parent proxy-report versions of the PROMIS(®) pediatric Depressive Symptoms, Fatigue, and Mobility measures using both computer self-administration and telephone interviewer-administration in a crossed counterbalanced design. Pearson correlations and multivariate analysis of variance were used to examine the effects of mode of administration as well as order and form effects. Correlations between scores obtained with the two modes of administration were high. Scores were generally comparable across modes of administration, but there were some small significant effects involving mode of administration; significant differences in scores between the two modes ranged from 1.24 to 4.36 points. Scores for these pediatric PROMIS measures are generally comparable across modes of administration. Studies planning to use multiple modes (e.g., self-administration and interviewer-administration) should exercise good study design principles to minimize possible confounding effects from mixed modes.

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X Demographics

The data shown below were collected from the profiles of 3 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 22%
Student > Doctoral Student 7 12%
Researcher 5 8%
Student > Postgraduate 5 8%
Student > Bachelor 4 7%
Other 12 20%
Unknown 14 23%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Nursing and Health Professions 9 15%
Psychology 8 13%
Social Sciences 5 8%
Sports and Recreations 2 3%
Other 6 10%
Unknown 17 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 May 2016.
All research outputs
#14,261,406
of 24,137,933 outputs
Outputs from Quality of Life Research
#1,436
of 2,993 outputs
Outputs of similar age
#195,633
of 401,363 outputs
Outputs of similar age from Quality of Life Research
#18
of 48 outputs
Altmetric has tracked 24,137,933 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,993 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 51% 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 401,363 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 51% of its contemporaries.
We're also able to compare this research output to 48 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 64% of its contemporaries.