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Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective

Overview of attention for article published in Journal of the Academy of Marketing Science, February 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

policy
1 policy source
twitter
8 tweeters

Citations

dimensions_citation
324 Dimensions

Readers on

mendeley
638 Mendeley
citeulike
2 CiteULike
Title
Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective
Published in
Journal of the Academy of Marketing Science, February 2012
DOI 10.1007/s11747-011-0300-3
Authors

Adamantios Diamantopoulos, Marko Sarstedt, Christoph Fuchs, Petra Wilczynski, Sebastian Kaiser

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 638 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 12 2%
United States 6 <1%
Malaysia 5 <1%
United Kingdom 4 <1%
Netherlands 3 <1%
Austria 2 <1%
Australia 2 <1%
France 2 <1%
Portugal 1 <1%
Other 6 <1%
Unknown 595 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 198 31%
Student > Master 101 16%
Student > Doctoral Student 71 11%
Professor > Associate Professor 54 8%
Researcher 49 8%
Other 165 26%
Readers by discipline Count As %
Business, Management and Accounting 315 49%
Unspecified 81 13%
Psychology 71 11%
Social Sciences 69 11%
Economics, Econometrics and Finance 30 5%
Other 72 11%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 November 2018.
All research outputs
#2,239,934
of 12,996,276 outputs
Outputs from Journal of the Academy of Marketing Science
#90
of 469 outputs
Outputs of similar age
#52,165
of 294,872 outputs
Outputs of similar age from Journal of the Academy of Marketing Science
#2
of 12 outputs
Altmetric has tracked 12,996,276 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 469 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done well, scoring higher than 80% 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 294,872 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 82% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.