Evidence map›Paper›PMID 32322737›Full record

ArticleHeliyon2020

Assessment of multiple intelligences in elementary school students in Mexico: An exploratory study.

Irma Marcela González-Treviño, Georgina Mayela Núñez-Rocha, Jesús Marco Valencia-Hernández, Arturo Arrona-Palacios

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Irma Marcela González-TreviñoDepartment of Academic Development, School of Medicine and Health Sciences, Tecnologico de Monterrey, Monterrey, Mexico.
Georgina Mayela Núñez-RochaSchool of Public Health and Nutrition, Autonomous University of Nuevo Leon, Monterrey, Mexico.
Jesús Marco Valencia-HernándezSchool of Medicine and Health Sciences, Tecnologico de Monterrey, Monterrey, Mexico.
Arturo Arrona-PalaciosWriting Lab, TecLabs, Tecnologico de Monterrey, Monterrey, Mexico.
Tecnológico de Monterrey · MXUniversidad Autónoma de Nuevo León · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple Intelligence (MI) helps to evaluate the brain processes of individuals. Identifying the types of multiple intelligence can help teachers to understand their students better. Several studies have identified MI in school children; nevertheless, in Mexico, these studies have been scarce. Therefore, the objective of this study was to analyze the differences of MI between genders and the grades-in-school of Mexican elementary schoolchildren. In an effort to investigate the differences of MI in elementary school children in Mexico, we provided a self-administered questionnaire to 161 Mexican students. Overall, our findings showed that the students' mean averages in the eight categories of MI were similar in both genders; in fact, the only significant differences in gender were found in intrapersonal intelligence (males reporting higher intrapersonal differences than females). No other significant differences in MI were found, nor were there interaction effects between gender and the grade in school. In summary, these results give us an understanding that the different types of MI may not be that well implemented in elementary school children.

Indexed as

EducationEducational innovationElementary studentsIntelligencesMultiple intelligencePsychologyStudents

Identifiers

PMID32322737
PMCPMC7163067
OpenAlexW3017124901

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.