(Generalized Linear) Mixed-Effects Modeling: A Learner Corpus Example

被引：43
作者：
Gries, Stefan Th. [1 ,2 ]
机构：
[1] Univ Calif Santa Barbara, Dept Linguist, Santa Barbara, CA 93106 USA
[2] UC Santa Barbara, Justus Liebig Univ Giessen, Santa Barbara, CA 93106 USA
来源：
LANGUAGE LEARNING | 2021年 / 71卷 / 03期
关键词：
Mixed‐ effects modeling; generalized linear modeling; regression; that‐ complementation; R PACKAGE; REGRESSION; GUIDELINES; LANGUAGE; TESTS; TREES; POWER;
D O I：
10.1111/lang.12448
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
This methods showcase article provides a detailed overview of a mixed-effects modeling analysis of corpus data on the use of that in object and subject complementation by native speakers of English compared to its use by German and Spanish learners of English. We emphasize that we do not claim that our illustrations are the only way to carry out these analyses, but the strategy outlined above has yielded satisfactory results. (Bates et al., 2018, p. 5)
引用
收藏
页码：757 / 798
页数：42
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