Han Feifei, Juklová Kateřina, Mikoška Petr, Novák Lukáš
Institute for Learning Sciences and Teacher Education, Australian Catholic University, Brisbane, QLD, Australia.
Department of Pedagogy and Psychology, Faculty of Education, University of Hradec Králové, Hradec Králové, Czechia.
Front Psychol. 2023 Jan 6;13:1001187. doi: 10.3389/fpsyg.2022.1001187. eCollection 2022.
The present investigation examined the stability of the twofold multidimensional structure of academic self-concepts (ASCs) in three domains, namely Chinese, math, and general school using four-wave data collected over 2 years among 552 Chinese secondary school students.
Adopting both a within-network and a between-network approach, confirmatory factor analyses (CFAs) and factor correlations were performed in Mplus 8.2.
The within-network results showed that CFA models wherein competence and affect dimensions were conflated generated unacceptable fit. In contrast, the CFAs in which competence and affect were modeled as separate latent factors consistently produced superior fit to the data. The between-network results demonstrated that in the Chinese and math domains and across the four-time waves, the competence components were more strongly related to the achievements in matching domains than the affect components were. Furthermore, both the competence and affect components of ASCs and achievements were positively correlated in the non-matching domains, which were somewhat contradictory to the internal/external frame of reference model predicting zero or negative relations.
Such results seem to suggest more involvement in social comparison than in dimensional comparison of Chinese students, which might be attributed to the collectivistic Chinese culture and the common phenomenon of academic social comparisons among Chinese adolescents in schools.
本研究通过对552名中国中学生在两年内收集的四波数据,考察了学术自我概念(ASC)在语文、数学和一般学业三个领域的双重多维结构的稳定性。
采用网络内和网络间方法,在Mplus 8.2中进行验证性因素分析(CFA)和因素相关性分析。
网络内结果表明,将能力维度和情感维度合并的CFA模型拟合度不佳。相比之下,将能力和情感建模为单独潜在因素的CFA模型始终能更好地拟合数据。网络间结果表明,在语文和数学领域以及四波数据中,能力成分与匹配领域的成绩之间的相关性比情感成分更强。此外,ASC的能力和情感成分与非匹配领域的成绩均呈正相关,这与预测为零或负相关的内部/外部参照模型有些矛盾。
这些结果似乎表明,中国学生更多地参与社会比较而非维度比较,这可能归因于中国的集体主义文化以及中国青少年在学校中学术社会比较的普遍现象。