On the benefits of structural equation modeling for corpus linguists
On the benefits of structural equation modeling for corpus linguists
复制标题
结构方程建模对语料库语言学家的好处
DOI：
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发表时间：
2020
影响因子：
1.6
通讯作者：
G. Hancock
中科院分区：
文献类型：
--
作者：
Tove Larsson;Luke Plonsky;G. Hancock
Abstract The present article aims to introduce structural equation modeling, in particular measured variable path models, and discuss their great potential for corpus linguists. Compared to other techniques commonly employed in the field such as multiple regression, path models are highly flexible and enable testing a priori hypotheses about causal relations between multiple independent and dependent variables. In addition to increased methodological versatility, this technique encourages big-picture, model-based reasoning, thus allowing corpus linguists to move away from the, at times, somewhat overly simplified mindset brought about by the more narrow null-hypothesis significance testing paradigm. The article also includes commentary on corpus linguistics and its trajectory, arguing in favor of increased cumulative knowledge building.
影响因子：
1.6
作者：
Hu, Xianyao;Xiao, Richard;Hardie, Andrew
通讯作者：
Hardie, Andrew