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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Hierarchical Taxonomy of Test Validity for More Flexibility of Validation
|
|---|---|
| Published in |
Frontiers in Psychology, June 2018
|
| DOI | 10.3389/fpsyg.2018.00972 |
| Pubmed ID | |
| Authors |
Jinsong Chen |
| Abstract |
Test validity lies at the core of educational and psychological testing, but there are controversies about what test validity is and how test validation should proceed. This paper develops a taxonomy to redefine test validity with hierarchical levels. On the basis of testing foundation, the hierarchy includes operational, measurable, realizable, and useful levels, which result in testing consequence. With the help of a context-specific construct, different levels of test validity, and different types of score use, the proposed taxonomy offers more flexibility for test validation. It can also shed light on the interpretations of important testing concepts and help streamline test development. Real-life examples are given to demonstrate the usefulness of the taxonomy across different settings. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 21% |
| Lecturer | 4 | 17% |
| Student > Master | 4 | 17% |
| Student > Doctoral Student | 2 | 8% |
| Professor | 2 | 8% |
| Other | 4 | 17% |
| Unknown | 3 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 9 | 38% |
| Arts and Humanities | 2 | 8% |
| Nursing and Health Professions | 2 | 8% |
| Social Sciences | 2 | 8% |
| Computer Science | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 5 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 15 June 2018.
All research outputs
#18,625,558
of 23,073,835 outputs
Outputs from Frontiers in Psychology
#22,589
of 30,422 outputs
Outputs of similar age
#253,759
of 328,666 outputs
Outputs of similar age from Frontiers in Psychology
#575
of 676 outputs
Altmetric has tracked 23,073,835 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,422 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 19th percentile – i.e., 19% 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 328,666 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 676 others from the same source and published within six weeks on either side of this one. This one is in the 2nd percentile – i.e., 2% of its contemporaries scored the same or lower than it.