Liu Eerdemutu, Wang Junju, Bai Sachurina
School of Foreign Language and Literature, Shandong University, Jinan, China.
English Department, Hohhot No. 2 Middle School, Hohhot, China.
Front Psychol. 2022 Sep 29;13:971495. doi: 10.3389/fpsyg.2022.971495. eCollection 2022.
The current study seeks to validate L2 grit measure among 637 Chinese senior middle school students using a bifactor modeling approach. To do so, we first assessed and compared four alternative measurement models including CFA, bifactor CFA, ESEM, and bifactor ESEM models. Among these models, CFA exhibited the poorest fit to the data collected from the sample. ESEM showed partial fit to the data with a slightly lower factor correlation between two components of L2 grit (i.e., perseverance of effort and consistency of interest) than CFA. Two bifactor models (bifactor CFA and bifactor ESEM) demonstrated excellent fits to the data. The more parsimonious bifactor CFA model was selected as the optimal one. Based on the bifactor CFA model, we confirmed measurement invariance across gender and predictive validity of L2 grit on subsequent language achievements. Based on these findings, methodological and pedagogical implications were discussed.
本研究旨在采用双因素建模方法，对637名中国高中生的二语毅力量表进行验证。为此，我们首先评估并比较了四种替代测量模型，包括验证性因素分析（CFA）、双因素CFA、探索性结构方程模型（ESEM）和双因素ESEM模型。在这些模型中，CFA对从样本中收集的数据拟合度最差。ESEM对数据显示出部分拟合，其二语毅力的两个组成部分（即努力的坚持性和兴趣的一致性）之间的因素相关性略低于CFA。两个双因素模型（双因素CFA和双因素ESEM）对数据显示出优异的拟合度。更为简约的双因素CFA模型被选为最优模型。基于双因素CFA模型，我们证实了性别间的测量不变性以及二语毅力对后续语言成绩的预测效度。基于这些发现，我们讨论了方法学和教学方面的意义。
