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Attention Score in Context
| Title |
The Use of Subscores in Higher Education: When Is This Useful?
|
|---|---|
| Published in |
Frontiers in Psychology, March 2017
|
| DOI | 10.3389/fpsyg.2017.00305 |
| Pubmed ID | |
| Authors |
Rob R. Meijer, Anja J. Boevé, Jorge N. Tendeiro, Roel J. Bosker, Casper J. Albers |
| Abstract |
Assessment in higher education is challenging because teachers face more students, with less contact time as compared to primary and secondary education. Therefore, teachers and management are often interested in efficient ways of giving students diagnostic feedback and providing information on the basis of subscores is one method that is often used in large-scale standardized testing. In this article we discuss some recent psychometric literature that warns against the use of subscores in addition to the use of total scores. We illustrate how the added value of subscores can be evaluated using two college exams: A multiple choice exam and a combined open-ended question and multiple choice exam; these formats are often used in higher education and represent cases in which using subscores may be informative. We discuss the implications of our findings for future classroom evaluation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 24% |
| Student > Ph. D. Student | 5 | 20% |
| Other | 3 | 12% |
| Researcher | 3 | 12% |
| Lecturer > Senior Lecturer | 2 | 8% |
| Other | 3 | 12% |
| Unknown | 3 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 7 | 28% |
| Social Sciences | 4 | 16% |
| Medicine and Dentistry | 2 | 8% |
| Chemical Engineering | 1 | 4% |
| Linguistics | 1 | 4% |
| Other | 7 | 28% |
| Unknown | 3 | 12% |
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 18 February 2017.
All research outputs
#19,825,295
of 24,364,603 outputs
Outputs from Frontiers in Psychology
#24,351
of 32,805 outputs
Outputs of similar age
#241,134
of 311,973 outputs
Outputs of similar age from Frontiers in Psychology
#449
of 536 outputs
Altmetric has tracked 24,364,603 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32,805 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. 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 311,973 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 536 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.