| Title |
Working Memory Mechanism in Proportional Quantifier Verification
|
|---|---|
| Published in |
Journal of Psycholinguistic Research, December 2013
|
| DOI | 10.1007/s10936-013-9281-3 |
| Pubmed ID | |
| Authors |
Marcin Zajenkowski, Jakub Szymanik, Maria Garraffa |
| Abstract |
The paper explores the cognitive mechanisms involved in the verification of sentences with proportional quantifiers (e.g. "More than half of the dots are blue"). The first study shows that the verification of proportional sentences is more demanding than the verification of sentences such as: "There are seven blue and eight yellow dots". The second study reveals that both types of sentences are correlated with memory storage, however, only proportional sentences are associated with the cognitive control. This result suggests that the cognitive mechanism underlying the verification of proportional quantifiers is crucially related to the integration process, in which an individual has to compare in memory the cardinalities of two sets. In the third study we find that the numerical distance between two cardinalities that must be compared significantly influences the verification time and accuracy. The results of our studies are discussed in the broader context of processing complex sentences. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 50% |
| Iran, Islamic Republic of | 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 3% |
| Netherlands | 1 | 3% |
| Russia | 1 | 3% |
| Unknown | 32 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor > Associate Professor | 7 | 20% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Doctoral Student | 6 | 17% |
| Researcher | 4 | 11% |
| Student > Bachelor | 3 | 9% |
| Other | 5 | 14% |
| Unknown | 4 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Linguistics | 10 | 29% |
| Psychology | 6 | 17% |
| Philosophy | 2 | 6% |
| Social Sciences | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 6 | 17% |
| Unknown | 8 | 23% |
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 31 December 2013.
All research outputs
#15,289,831
of 22,738,543 outputs
Outputs from Journal of Psycholinguistic Research
#171
of 352 outputs
Outputs of similar age
#189,981
of 305,083 outputs
Outputs of similar age from Journal of Psycholinguistic Research
#5
of 7 outputs
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