Mixed-Effects Modeling with a Multinomial Dependent Variable

被引：0
|
作者：
Gudmestad, Aarnes [1 ]
Metzger, Thomas A. [2 ]
机构：
[1] Virginia Polytech Inst & State Univ, Blacksburg, VA USA
[2] Ohio State Univ, Columbus, OH USA
来源：
LANGUAGE LEARNING | 2024年
关键词：
mixed-effects model; regression; multinomial dependent variable; quantitative analyses; future-time reference; RANDOM EFFECTS SELECTION; LOGISTIC-REGRESSION; SPANISH; CLASSIFICATION; EXPRESSION; INFERENCE; FUTURE; ERROR; TESTS;
D O I：
10.1111/lang.12667
中图分类号：
G40 [教育学];
学科分类号：
040101 ; 120403 ;
摘要：
In this Methods Showcase Article, we illustrate mixed-effects modeling with a multinomial dependent variable as a means of explaining complexities in language. We model data on future-time reference in second language Spanish, which consists of a nominal dependent variable that has three levels, measured over 73 participants. We offer step-by-step procedures for multinomial logistic regression with fixed and random effects, and we discuss the interpretation of the model and its advantages and limitations. A one-page Accessible Summary of this article in nontechnical language is freely available in the Supporting Information online and at .
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页数：38
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