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Seeking a Balance Between the Statistical and Scientific Elements in Psychometrics

Overview of attention for article published in Psychometrika, February 2013
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43 Mendeley
Title
Seeking a Balance Between the Statistical and Scientific Elements in Psychometrics
Published in
Psychometrika, February 2013
DOI 10.1007/s11336-013-9327-3
Pubmed ID
Authors

Mark Wilson

Abstract

In this paper, I will review some aspects of psychometric projects that I have been involved in, emphasizing the nature of the work of the psychometricians involved, especially the balance between the statistical and scientific elements of that work. The intent is to seek to understand where psychometrics, as a discipline, has been and where it might be headed, in part at least, by considering one particular journey (my own). In contemplating this, I also look to psychometrics journals to see how psychometricians represent themselves to themselves, and in a complementary way, look to substantive journals to see how psychometrics is represented there (or perhaps, not represented, as the case may be). I present a series of questions in order to consider the issue of what are the appropriate foci of the psychometric discipline. As an example, I present one recent project at the end, where the roles of the psychometricians and the substantive researchers have had to become intertwined in order to make satisfactory progress. In the conclusion I discuss the consequences of such a view for the future of psychometrics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Italy 1 2%
Brazil 1 2%
Unknown 40 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Professor 9 21%
Researcher 7 16%
Student > Master 6 14%
Professor > Associate Professor 4 9%
Other 7 16%
Readers by discipline Count As %
Psychology 15 35%
Social Sciences 8 19%
Neuroscience 5 12%
Agricultural and Biological Sciences 3 7%
Mathematics 2 5%
Other 8 19%
Unknown 2 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 October 2015.
All research outputs
#13,888,916
of 22,708,120 outputs
Outputs from Psychometrika
#327
of 499 outputs
Outputs of similar age
#107,975
of 192,953 outputs
Outputs of similar age from Psychometrika
#2
of 5 outputs
Altmetric has tracked 22,708,120 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 499 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 192,953 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
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.