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 .
引用
收藏
页数：38
相关论文
共 50 条
  • [31] Linear mixed-effects modeling approach to FMRI group analysis
    Chen, Gang
    Saad, Ziad S.
    Britton, Jennifer C.
    Pine, Daniel S.
    Cox, Robert W.
    NEUROIMAGE, 2013, 73 : 176 - 190
  • [32] Nonlinear mixed-effects scalar-on-function models and variable selection
    Cheng, Yafeng
    Shi, Jian Qing
    Eyre, Janet
    STATISTICS AND COMPUTING, 2020, 30 (01) : 129 - 140
  • [33] Nonlinear mixed-effects scalar-on-function models and variable selection
    Yafeng Cheng
    Jian Qing Shi
    Janet Eyre
    Statistics and Computing, 2020, 30 : 129 - 140
  • [34] An application of nonlinear mixed-effects modeling to pharmacokinetic data exhibiting nonlinear and time-dependent behavior
    Iavarone, L
    Gomeni, R
    JOURNAL OF PHARMACEUTICAL SCIENCES, 2003, 92 (01) : 27 - 34
  • [35] (Generalized Linear) Mixed-Effects Modeling: A Learner Corpus Example
    Gries, Stefan Th.
    LANGUAGE LEARNING, 2021, 71 (03) : 757 - 798
  • [36] Bayesian variable selection under the proportional hazards mixed-effects model
    Lee, Kyeong Eun
    Kim, Yongku
    Xu, Ronghui
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2014, 75 : 53 - 65
  • [37] Reliability of pharmacodynamic analysis by logistic regression - Mixed-effects modeling
    Lu, W
    Ramsay, JG
    Bailey, JM
    ANESTHESIOLOGY, 2003, 99 (06) : 1255 - 1262
  • [38] Mixed-effects Location Scale Modeling For The Analysis Of Accelerometry Data
    Welch, Whitney A.
    Hedeker, Donald
    Spring, Bonnie
    Siddique, Juned
    MEDICINE & SCIENCE IN SPORTS & EXERCISE, 2020, 52 (07) : 821 - 821
  • [39] Model selection and mixed-effects modeling of HIV infection dynamics
    Bortz, D. M.
    Nelson, P. W.
    BULLETIN OF MATHEMATICAL BIOLOGY, 2006, 68 (08) : 2005 - 2025
  • [40] Modeling of the tree and stand parameters using mixed-effects models
    Bronisz, Karol
    SYLWAN, 2019, 163 (07): : 564 - 575
12345