ArticleBMC psychology2026
A network psychometric analysis to advance the understanding of children's physical literacy.
Article in BMC psychology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundDespite growing interest in children’s physical literacy (PL), limited research has examined the relative importance of its constituent elements from children’s own perspectives using network-based methods. This study employed network psychometrics to identify the key elements (i.e., nodes with high centrality in the PL elements network) of PL based on children’s self-perception.
methodsA total of 1,520 Chinese children (752 girls, 49.5%; 768 boys, 50.5%), aged 7 to 12 years (M = 9.6 ± 1.7) completed a PL self-report (the Physical Literacy in Children Questionnaire). Regularized psychological networks were constructed to estimate the interactions between PL elements. Centrality was assessed using the expected influence (EI) index to identify potentially the most influential elements in the PL network. Network comparison test evaluates whether network structure, global strength, and centrality indices differed by sex and age groups (7–9 years and 10–12 years).
resultsThe elements with high EI values in the PL networks were engagement and enjoyment (psychological domain, EI = 1.64–2.22), collaboration (social domain, EI = 1.34–1.64), self-regulation-physical (psychological domain, EI = 1.12–1.63), and speed (physical domain, EI = 1.10–1.17). The PL network structure and global strength were invariant, though the specific elements with higher EI values differed slightly by sex and age groups.
conclusionThis study identified engagement and enjoyment, collaboration, self-regulation-physical, and speed as key elements of children’s PL. These findings support a child-centered, systems view of PL and highlight elements that merit further investigation in longitudinal or experimental research. Our findings empirically support the inclusion of social elements and children’s voices into PL assessment and promotion.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.