运用多同体Rasch模型研究李克特量表功能和二语写作策略的使用

Apichat Khamboonruang
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引用次数: 0

摘要

虽然Rasch模型在应用语言学研究中的应用越来越多,但在二语写作策略研究中的应用仍未得到充分探索,这主要依赖于假设连续数据的统计方法。本研究旨在解决这一方法学上的差距,采用多分体Rasch建模方法来调查二语写作策略使用背景下的李克特量表功能。参与者是172名泰国英语专业的本科生,他们完成了一份26项5类李克特式量表,该量表旨在测量五个策略领域:元认知策略、努力调节策略、认知策略、社会策略和情感策略。使用在Winsteps和Facets软件程序中实现的Rasch评定量表模型(RSM)对数据进行分析。主要结果表明,RSM分析为适当的项目和类别功能提供了可靠的证据,同时揭示了需要改进的特定领域,如有限的项目覆盖,项目冗余和类别无序。RSM分析还揭示了泰国英语学生在不同领域和熟练程度上使用写作策略的系统性趋势:元认知策略的使用频率最高,并且明显区分了成绩较高和较差的学生,而社会策略的使用频率较低,但成绩较差的学生使用频率较高。这些发现突出了多元拉赫建模方法的价值,不仅检查评分量表功能,而且还检查写作策略的使用。本研究结果对评定量表的验证和二语写作策略的指导具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applying a polytomous Rasch model to investigate Likert scale functioning and L2 writing strategy use
While Rasch models have been increasingly employed in applied linguistics research, their use remains underexplored in L2 writing strategy research, which has relied primarily on statistical methods that assume continuous data. This study aimed to address this methodological gap by applying a polytomous Rasch modelling approach to investigate Likert scale functioning in the context of L2 writing strategy use. Participants were 172 Thai EFL English-major undergraduates who completed a 26-item, 5-category Likert-type scale designed to measure five strategy domains: metacognitive, effort-regulation, cognitive, social, and affective strategies. The data were analysed using a Rasch rating scale model (RSM) implemented in Winsteps and Facets software programmes. The main results indicated that the RSM analysis provided sound evidence of appropriate item and category functioning, while revealing specific areas for refinement, such as limited item coverage, item redundancy, and category disordering. The RSM analysis also revealed systematic trends in Thai EFL students’ writing strategy use across domains and proficiency levels: metacognitive strategies were used most often and clearly differentiated higher- and lower-achieving students, while social strategies were less common and more frequently used by lower achievers. These findings highlight the value of a polytomous Rasch modelling approach in examining not only rating scale functioning but also writing strategy use. The present findings have implications for rating scale validation and L2 writing strategy instruction.
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