Latent transition analysis of approaches to learning among Chinese preschool children: teacher expectations and teacher–child relationship as predictors

This study identified profiles of pre-school children’s approaches to learning (AtL), examined transitions, and tested whether teacher expectations and teacher–child relationship quality predicted these transitions. A sample of 1092 pre-school children (48.26% girls) was assessed twice, six months apart. Latent profile analyses identified four structurally comparable profiles at both waves: At-risk, Imbalanced, Normative, and Adaptive. Latent transition analysis indicated continuity and mobility, with a net shift towards higher-functioning profiles. The At-risk profile showed the lowest retention and frequently transitioned upward, whereas the Normative and Adaptive profiles showed greater retention but also downward transitions, particularly from Adaptive to Normative or Imbalanced. The Imbalanced profile occupied an intermediate position between upward and downward pathways. Higher teacher expectations and positive teacher–child relationships were associated with greater odds of upward transitions among children in the At-risk or Imbalanced profiles and lower odds of selected downward transitions among those in higher-functioning profiles.

Authors

Institutions

Publication Details

Journal
Educational Psychology
Published
2026-10-15
DOI
https://doi.org/10.1080/01443410.2026.2742891
Primary Topic
Early Childhood Education and Development
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Latent transition analysis of approaches to learning among Chinese preschool children: teacher expectations and teacher–child relationship as predictors

Dongqing Yu, Jie Huang, Jiewen Zhi, Xuteng Sun et al.
Educational Psychology
Early Childhood Education and Development
article

Latent transition analysis of approaches to learning among Chinese preschool children: teacher expectations and teacher–child relationship as predictors

Dongqing Yu, Jie Huang, Jiewen Zhi, Xuteng Sun, Zhanmei Song, Jian Chen, Yanhong Su
article en

Abstract

This study identified profiles of pre-school children’s approaches to learning (AtL), examined transitions, and tested whether teacher expectations and teacher–child relationship quality predicted these transitions. A sample of 1092 pre-school children (48.26% girls) was assessed twice, six months apart. Latent profile analyses identified four structurally comparable profiles at both waves: At-risk, Imbalanced, Normative, and Adaptive. Latent transition analysis indicated continuity and mobility, with a net shift towards higher-functioning profiles. The At-risk profile showed the lowest retention and frequently transitioned upward, whereas the Normative and Adaptive profiles showed greater retention but also downward transitions, particularly from Adaptive to Normative or Imbalanced. The Imbalanced profile occupied an intermediate position between upward and downward pathways. Higher teacher expectations and positive teacher–child relationships were associated with greater odds of upward transitions among children in the At-risk or Imbalanced profiles and lower odds of selected downward transitions among those in higher-functioning profiles.

Educational Psychology
Wenzhou University (CN), Northeast Normal University (CN), Yanan University Affiliated Hospital (CN), Aoyama Gakuin Kindergarten (JP)
National Social Science Fund of China
Quality education
Openalex Percentile: Top 4%
Early Childhood Education and Development
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.