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Mendeley readers
Attention Score in Context
| Title |
Explanatory model of emotional-cognitive variables in school mathematics performance: a longitudinal study in primary school
|
|---|---|
| Published in |
Frontiers in Psychology, September 2015
|
| DOI | 10.3389/fpsyg.2015.01363 |
| Pubmed ID | |
| Authors |
Gamal Cerda, Carlos Pérez, José I. Navarro, Manuel Aguilar, José A. Casas, Estíbaliz Aragón |
| Abstract |
This study tested a structural model of cognitive-emotional explanatory variables to explain performance in mathematics. The predictor variables assessed were related to students' level of development of early mathematical competencies (EMCs), specifically, relational and numerical competencies, predisposition toward mathematics, and the level of logical intelligence in a population of primary school Chilean students (n = 634). This longitudinal study also included the academic performance of the students during a period of 4 years as a variable. The sampled students were initially assessed by means of an Early Numeracy Test, and, subsequently, they were administered a Likert-type scale to measure their predisposition toward mathematics (EPMAT) and a basic test of logical intelligence. The results of these tests were used to analyse the interaction of all the aforementioned variables by means of a structural equations model. This combined interaction model was able to predict 64.3% of the variability of observed performance. Preschool students' performance in EMCs was a strong predictor for achievement in mathematics for students between 8 and 11 years of age. Therefore, this paper highlights the importance of EMCs and the modulating role of predisposition toward mathematics. Also, this paper discusses the educational role of these findings, as well as possible ways to improve negative predispositions toward mathematical tasks in the school domain. |
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 % |
|---|---|---|
| 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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 2% |
| Argentina | 1 | 2% |
| Unknown | 45 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 8 | 17% |
| Student > Master | 8 | 17% |
| Researcher | 6 | 13% |
| Professor > Associate Professor | 4 | 9% |
| Professor | 3 | 6% |
| Other | 11 | 23% |
| Unknown | 7 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 40% |
| Social Sciences | 4 | 9% |
| Engineering | 3 | 6% |
| Mathematics | 3 | 6% |
| Medicine and Dentistry | 3 | 6% |
| Other | 7 | 15% |
| Unknown | 8 | 17% |
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 20 April 2016.
All research outputs
#14,824,070
of 22,826,360 outputs
Outputs from Frontiers in Psychology
#16,098
of 29,801 outputs
Outputs of similar age
#147,663
of 267,498 outputs
Outputs of similar age from Frontiers in Psychology
#355
of 551 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 29,801 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 38th percentile – i.e., 38% 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 267,498 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 551 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.