Intelligence Mindsets Trajectory Profiles among Chinese Elementary School Students: Associations with Changes in Academic Achievement from Grades 4 to 6.

Early adolescence is a critical period for the development of children's intelligence mindsets, which play a significant role in academic achievement. However, existing research predominantly employs variable-centered approaches, which fail to capture individual differences in mindset–achievement re...

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Published in:Journal of Youth & Adolescence Vol. 54; no. 1; pp. 238 - 255
Main Authors: Qi, Cai, Guo, Xiaolin, Liu, Chunhui, Li, Yue, Zhao, Baoxu, Bi, Tiantian, Luo, Liang
Format: Article
Published: Springer Nature Jan2025
Subjects:
Online Access:View this record in EBSCOhost
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      dt: Jan2025
      vid: 54
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      pub: Springer Nature
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        10.1007/s10964-024-02061-z
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        atl: Intelligence Mindsets Trajectory Profiles among Chinese Elementary School Students: Associations with Changes in Academic Achievement from Grades 4 to 6.
      aug:
        au:
          Qi, Cai
          Guo, Xiaolin
          Liu, Chunhui
          Li, Yue
          Zhao, Baoxu
          Bi, Tiantian
          Luo, Liang
        affil:
          https://ror.org/022k4wk35 Collaborative Innovation Center of Assessment toward Basic Education Quality, Beijing Normal University, Beijing, China
          https://ror.org/04ycpbx82 School of Social Sciences, University of Westminster, London, UK
          https://ror.org/0170z8493 School of Psychology, Shaanxi Normal University, Xi'an, China
          https://ror.org/004rbbw49 College of Home Economics (Department of Preschool Education), Hebei Normal University, Shijiazhuang, China
          https://ror.org/022k4wk35 Institute of Developmental Psychology, Faculty of Psychology, Beijing Normal University, Beijing, China
      su:
        China
        Intellect
        Psychology of school children
        Sex distribution
        Age distribution
        Child development
        Academic achievement
        Sociodemographic factors
        Research funding
        Descriptive statistics
        Structural equation modeling
        Longitudinal method
      sug:
        subj:
          Intellect
          Psychology of school children
          Sex distribution
          Age distribution
          Child development
          Academic achievement
          Sociodemographic factors
          China
          Research funding
          Descriptive statistics
          Structural equation modeling
          Longitudinal method
      keyword:
        Intelligence mindsets
        Latent class growth analysis
        Psychology and Cognitive Sciences Psychology Education Specialist Studies In Education
        Trajectory profiles
        Intelligence mindsets
        Latent class growth analysis
        Psychology and Cognitive Sciences Psychology Education Specialist Studies In Education
        Trajectory profiles
      ab: Early adolescence is a critical period for the development of children's intelligence mindsets, which play a significant role in academic achievement. However, existing research predominantly employs variable-centered approaches, which fail to capture individual differences in mindset–achievement relations. This research addresses this gap by adopting a longitudinal person-centered approach to explore the joint developmental trajectories of growth and fixed mindsets among early adolescents. It further explores how these trajectories relate to changes in academic achievement (i.e., the mean of standardized mathematics and Chinese achievement test scores) over 2 years, accounting for intelligence and sociodemographic factors such as age, sex, and family SES. In two five-wave longitudinal studies with 748 (M = 10.23 years, SD = 0.30; 49% girls at T1) and 3258 (M = 10.34 years, SD = 0.37; 49% girls at T1) Chinese elementary school students from grades 4 to 6, four distinct mindset trajectory profiles were identified: Growth (initially high growth but low fixed mindsets), Fixed (initially high fixed but low growth mindsets), Moderate (initially moderate levels in both mindsets), and Both-High (initially high levels in both mindsets). Analysis across both studies revealed that students in the Growth trajectory profile exhibited the most significant improvements in academic achievement 2 years later. Conversely, students in the Both-High trajectory profile experienced the least favorable academic outcomes. These findings highlight the importance of recognizing individual differences in mindset trajectories and their potential impact on academic outcomes. The current research underscores the need for educational interventions that are tailored to different mindset profiles to optimize student development and achievement.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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