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Does Acquiescence Disagree with Measurement Invariance Testing?

Overview of attention for article published in Structural Equation Modeling: A Multidisciplinary Journal, November 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
4 Mendeley
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Title
Does Acquiescence Disagree with Measurement Invariance Testing?
Published in
Structural Equation Modeling: A Multidisciplinary Journal, November 2023
DOI 10.1080/10705511.2023.2260106
Authors

E. Damiano D’Urso, Jesper Tijmstra, Jeroen K. Vermunt, Kim De Roover

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 25%
Professor > Associate Professor 1 25%
Student > Bachelor 1 25%
Researcher 1 25%
Readers by discipline Count As %
Psychology 3 75%
Unspecified 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 09 January 2024.
All research outputs
#5,089,445
of 26,393,142 outputs
Outputs from Structural Equation Modeling: A Multidisciplinary Journal
#57
of 421 outputs
Outputs of similar age
#82,736
of 373,803 outputs
Outputs of similar age from Structural Equation Modeling: A Multidisciplinary Journal
#2
of 5 outputs
Altmetric has tracked 26,393,142 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 421 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 86% 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 373,803 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 5 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.