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Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives

Overview of attention for article published in Social Science Research, October 2022
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
71 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
44 Dimensions

Readers on

mendeley
75 Mendeley
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Title
Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives
Published in
Social Science Research, October 2022
DOI 10.1016/j.ssresearch.2022.102805
Pubmed ID
Authors

Heinz Leitgöb, Daniel Seddig, Tihomir Asparouhov, Dorothée Behr, Eldad Davidov, Kim De Roover, Suzanne Jak, Katharina Meitinger, Natalja Menold, Bengt Muthén, Maksim Rudnev, Peter Schmidt, Rens van de Schoot

X Demographics

X Demographics

The data shown below were collected from the profiles of 71 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 9 12%
Student > Master 7 9%
Student > Doctoral Student 5 7%
Other 5 7%
Other 17 23%
Unknown 18 24%
Readers by discipline Count As %
Psychology 21 28%
Social Sciences 14 19%
Business, Management and Accounting 7 9%
Unspecified 4 5%
Arts and Humanities 3 4%
Other 4 5%
Unknown 22 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 30 December 2023.
All research outputs
#825,220
of 25,564,614 outputs
Outputs from Social Science Research
#109
of 1,393 outputs
Outputs of similar age
#18,897
of 441,896 outputs
Outputs of similar age from Social Science Research
#2
of 20 outputs
Altmetric has tracked 25,564,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,393 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.5. This one has done particularly well, scoring higher than 92% 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 441,896 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 95% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.