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Predictive Relation between Early Numerical Competencies and Mathematics Achievement in First Grade Portuguese Children

Overview of attention for article published in Frontiers in Psychology, June 2017
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Title
Predictive Relation between Early Numerical Competencies and Mathematics Achievement in First Grade Portuguese Children
Published in
Frontiers in Psychology, June 2017
DOI 10.3389/fpsyg.2017.01103
Pubmed ID
Authors

Lilia Marcelino, Óscar de Sousa, António Lopes

Abstract

Early numerical competencies (ENC) (counting, number relations, and basic arithmetic operations) have a central position in the initial learning of mathematics, and their assessment is useful for predicting later mathematics achievement. Using a regression model, this study aims to analyze the correlational and predictive evidence between ENC and mathematics achievement in first grade Portuguese children (n = 123). The children's ENC were examined at the point of school entry. Three criterion groups (low, moderate, and high ENC) were formed based on the results of the early numerical brief screener and mathematics achievement measured at the end of first grade. The following hypotheses were tested: children who started first grade with low numerical competencies remained low mathematics achievement at the end of first grade; and children who started with high numerical competencies, finished the first grade with high mathematics achievement. The results showed that ENC contributed to a significant amount of explained variance in mathematics achievement at the end of the first grade. Children with low numerical competencies performed lower than children with moderate and high numerical competencies. Findings suggest that ENC are meaningful for predicting first-grade mathematics difficulties.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Bachelor 3 14%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Lecturer 1 5%
Other 4 18%
Unknown 4 18%
Readers by discipline Count As %
Psychology 9 41%
Mathematics 3 14%
Social Sciences 2 9%
Agricultural and Biological Sciences 1 5%
Unspecified 1 5%
Other 1 5%
Unknown 5 23%
Attention Score in Context

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 30 June 2017.
All research outputs
#20,431,953
of 22,985,065 outputs
Outputs from Frontiers in Psychology
#24,342
of 30,174 outputs
Outputs of similar age
#274,248
of 314,551 outputs
Outputs of similar age from Frontiers in Psychology
#544
of 610 outputs
Altmetric has tracked 22,985,065 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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