Evidence map›Paper›PMID 38535167›Full record

ArticleJournal of Intelligence2024

Deductive Reasoning Skills in Children Aged 4-8 Years Old.

Krisztián Józsa, Tun Zaw Oo, Diana Borbélyová, Judit Podráczky

Abstract read
In one paragraph

Article in Journal of Intelligence, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Krisztián JózsaInstitute of Education, University of Szeged, 6722 Szeged, Hungary.ORCID 0000-0001-7174-5067
Tun Zaw OoInstitute of Education, Hungarian University of Agriculture and Life Sciences, 7400 Kaposvár, Hungary.ORCID 0000-0002-7456-3709
Diana BorbélyováMTA-MATE Early Childhood Research Group, Hungarian University of Agriculture and Life Sciences, 7400 Kaposvár, Hungary.ORCID 0000-0002-0578-6247
Judit PodráczkyInstitute of Education, Hungarian University of Agriculture and Life Sciences, 7400 Kaposvár, Hungary.

Funding

Hungarian Academy of SciencesUniversity of Szeged
6 · The paper itself

Abstract

Young children possess the fundamental deductive reasoning skills for solving their upcoming problems in their daily lives. These skills are of great importance for their school readiness and academic development. Therefore, this study aimed to explore the age differences and predictive variables of deductive reasoning skills in young Hungarian children aged 4-8 years old who reside in Hungary and Slovakia. Face-to-face data were collected from 3050 participants. The instrument of deductive reasoning skills assessment was extracted from the school readiness test, DIFER (Diagnostic System for Assessing Development). Utilizing various statistical analyses with R, AMOS, and MPlus8 packages, it was found that there were significant differences in young children's deductive reasoning skills across countries and age groups. Parents' education levels had significant positive relationships with children's deductive reasoning skills development. And the variables of country and age were identified as significant predictors of children's deductive reasoning skills. And children's family background variables such as parental education played a significant role in predicting children's deductive reasoning skills in Hungary. The implications of this study emphasize the importance of educational contexts, parental involvement, cross-cultural exchange, and further research, with the potential to enhance young children's educational experiences and prospects in Hungary, Slovakia, and beyond.

Indexed as

cross-cultural studydeductive reasoningDIFERfamily backgroundgenderyoung children

Identifiers

PMID38535167
PMCPMC10970822

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Registered trials

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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.