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Group-mean-centering independent variables in multi-level models is dangerous

Overview of attention for article published in Quality & Quantity, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#28 of 726)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

blogs
1 blog
twitter
13 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
22 Dimensions

Readers on

mendeley
114 Mendeley
Title
Group-mean-centering independent variables in multi-level models is dangerous
Published in
Quality & Quantity, January 2016
DOI 10.1007/s11135-015-0304-z
Authors

Jonathan Kelley, M. D. R. Evans, Jennifer Lowman, Valerie Lykes

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 2 2%
Bosnia and Herzegovina 1 <1%
Unknown 108 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 31%
Student > Master 10 9%
Researcher 8 7%
Lecturer 7 6%
Student > Doctoral Student 7 6%
Other 29 25%
Unknown 18 16%
Readers by discipline Count As %
Social Sciences 36 32%
Psychology 29 25%
Economics, Econometrics and Finance 8 7%
Business, Management and Accounting 4 4%
Agricultural and Biological Sciences 3 3%
Other 11 10%
Unknown 23 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 20 January 2019.
All research outputs
#2,065,639
of 25,541,640 outputs
Outputs from Quality & Quantity
#28
of 726 outputs
Outputs of similar age
#35,246
of 406,385 outputs
Outputs of similar age from Quality & Quantity
#1
of 10 outputs
Altmetric has tracked 25,541,640 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 726 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 96% 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 406,385 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
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 all of them