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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 (89th percentile)

Mentioned by

twitter
69 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
83 Dimensions

Readers on

mendeley
95 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

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 69 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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 95 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 17%
Researcher 11 12%
Student > Master 10 11%
Professor 7 7%
Student > Doctoral Student 5 5%
Other 19 20%
Unknown 27 28%
Readers by discipline Count As %
Psychology 24 25%
Social Sciences 17 18%
Business, Management and Accounting 8 8%
Arts and Humanities 3 3%
Unspecified 2 2%
Other 7 7%
Unknown 34 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 50. 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
#895,975
of 26,381,177 outputs
Outputs from Social Science Research
#120
of 1,426 outputs
Outputs of similar age
#20,153
of 447,174 outputs
Outputs of similar age from Social Science Research
#2
of 19 outputs
Altmetric has tracked 26,381,177 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 1,426 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one has done particularly well, scoring higher than 91% 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 447,174 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 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.