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Alfred Binet and the Concept of Heterogeneous Orders†

Overview of attention for article published in Frontiers in Psychology, January 2012
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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11 X users
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2 Redditors

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Title
Alfred Binet and the Concept of Heterogeneous Orders†
Published in
Frontiers in Psychology, January 2012
DOI 10.3389/fpsyg.2012.00261
Pubmed ID
Authors

Joel Michell

Abstract

In a comment, hitherto unremarked upon, Alfred Binet, well known for constructing the first intelligence scale, claimed that his scale did not measure intelligence, but only enabled classification with respect to a hierarchy of intellectual qualities. Attempting to understand the reasoning behind this comment leads to an historical excursion, beginning with the ancient mathematician, Euclid and ending with the modern French philosopher, Henri Bergson. As Euclid explained (Heath, 1908), magnitudes constituting a given quantitative attribute are all of the same kind (i.e., homogeneous), but his criterion covered only extensive magnitudes. Duns Scotus (Cross, 1998) included intensive magnitudes by considering differences, which raised the possibility (later considered by Sutherland, 2004) of ordered attributes with heterogeneous differences between degrees ("heterogeneous orders"). Of necessity, such attributes are non-measurable. Subsequently, this became a basis for the "quantity objection" to psychological measurement, as developed first by Tannery (1875a,b) and then by Bergson (1889). It follows that for attributes investigated in science, there are three structural possibilities: (1) classificatory attributes (with heterogeneous differences between categories); (2) heterogeneous orders (with heterogeneous differences between degrees); and (3) quantitative attributes (with thoroughly homogeneous differences between magnitudes). Measurement is possible only with attributes of kind (3) and, as far as we know, psychological attributes are exclusively of kinds (1) or (2). However, contrary to the known facts, psychometricians, for their own special reasons insist that test scores provide measurements.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 68 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 16%
Student > Ph. D. Student 8 12%
Student > Master 8 12%
Student > Bachelor 8 12%
Student > Postgraduate 5 7%
Other 17 25%
Unknown 11 16%
Readers by discipline Count As %
Psychology 30 44%
Social Sciences 8 12%
Nursing and Health Professions 4 6%
Neuroscience 3 4%
Business, Management and Accounting 2 3%
Other 9 13%
Unknown 12 18%
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 08 May 2020.
All research outputs
#4,237,255
of 24,820,264 outputs
Outputs from Frontiers in Psychology
#7,319
of 33,480 outputs
Outputs of similar age
#34,208
of 254,545 outputs
Outputs of similar age from Frontiers in Psychology
#117
of 481 outputs
Altmetric has tracked 24,820,264 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 33,480 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done well, scoring higher than 78% 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 254,545 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 86% of its contemporaries.
We're also able to compare this research output to 481 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.