Exploring the relationship between self-efficacy, social support, academic anxiety, and academic outcomes: a meta-analysis structural equation modeling approach

The results showed that self-efficacy was positively correlated with academic outcomes at a moderate to high level (<i>r</i> = 0.354), social support was positively correlated with academic outcomes at a moderate to low level (<i>r</i> = 0.245), and academic anxiety was negatively correlated with academic outcomes at a moderate to low level (<i>r</i> = -0.179). All correlations between variables were significant (<i>p</i> < 0.001). Cultural background, grade level and the types of academic outcomes measurement exerted moderating effects on some relationships: under Eastern culture, the influence of social support on academic outcomes was stronger, and the influence of self-efficacy on academic outcomes increased with grade level. The relationship between self-efficacy and academic outcomes was stronger in the objective measures group. Structural equation modeling confirmed that social support and academic anxiety mediated the relationship between self-efficacy and academic outcomes, with a total indirect effect of 14.12%. This study identified how self-efficacy, social support, and academic anxiety shape academic outcomes, providing practical insights for enhancing student learning.

Authors

Institutions

Publication Details

Journal
Frontiers in Psychology
Published
2025-12-10
DOI
https://doi.org/10.3389/fpsyg.2025.1714845
Citations
1
Primary Topic
Child and Adolescent Psychosocial and Emotional Development
Type
article
Field-Weighted Citation Impact
2.31

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the relationship between self-efficacy, social support, academic anxiety, and academic outcomes: a meta-analysis structural equation modeling approach

Dongyun Li, Yun Wang, Juntao Li, S. Lilly Epsy Bai
1 citations
Frontiers in Psychology
Child and Adolescent Psychosocial and Emotional Development
2.31
article

Exploring the relationship between self-efficacy, social support, academic anxiety, and academic outcomes: a meta-analysis structural equation modeling approach

Dongyun Li, Yun Wang, Juntao Li, S. Lilly Epsy Bai
article en
1 citations

Abstract

The results showed that self-efficacy was positively correlated with academic outcomes at a moderate to high level (<i>r</i> = 0.354), social support was positively correlated with academic outcomes at a moderate to low level (<i>r</i> = 0.245), and academic anxiety was negatively correlated with academic outcomes at a moderate to low level (<i>r</i> = -0.179). All correlations between variables were significant (<i>p</i> < 0.001). Cultural background, grade level and the types of academic outcomes measurement exerted moderating effects on some relationships: under Eastern culture, the influence of social support on academic outcomes was stronger, and the influence of self-efficacy on academic outcomes increased with grade level. The relationship between self-efficacy and academic outcomes was stronger in the objective measures group. Structural equation modeling confirmed that social support and academic anxiety mediated the relationship between self-efficacy and academic outcomes, with a total indirect effect of 14.12%. This study identified how self-efficacy, social support, and academic anxiety shape academic outcomes, providing practical insights for enhancing student learning.

Frontiers in PsychologyVol. 16
Henan University (CN), Henan Normal University (CN)
China Postdoctoral Science Foundation
Openalex Percentile: Top 9%
Child and Adolescent Psychosocial and Emotional Development
2.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.