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A structural equation modeling approach for examining position effects in large-scale assessments

Overview of attention for article published in Large-scale Assessments in Education, February 2017
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
facebook
1 Facebook page
googleplus
1 Google+ user

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
32 Mendeley
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Title
A structural equation modeling approach for examining position effects in large-scale assessments
Published in
Large-scale Assessments in Education, February 2017
DOI 10.1186/s40536-017-0042-x
Authors

Okan Bulut, Qi Quo, Mark J. Gierl

X Demographics

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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 25%
Student > Master 5 16%
Researcher 4 13%
Lecturer 2 6%
Student > Doctoral Student 2 6%
Other 6 19%
Unknown 5 16%
Readers by discipline Count As %
Psychology 6 19%
Social Sciences 5 16%
Engineering 3 9%
Computer Science 2 6%
Economics, Econometrics and Finance 2 6%
Other 4 13%
Unknown 10 31%
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 29 September 2017.
All research outputs
#13,340,309
of 23,504,694 outputs
Outputs from Large-scale Assessments in Education
#102
of 147 outputs
Outputs of similar age
#152,830
of 308,146 outputs
Outputs of similar age from Large-scale Assessments in Education
#7
of 10 outputs
Altmetric has tracked 23,504,694 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 147 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one is in the 30th percentile – i.e., 30% 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 308,146 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% 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 3 of them.