Latent-Variable Modelling of Ordinal Outcomes in Language Data Analysis

IF 0.7 2区文学 N/A LANGUAGE & LINGUISTICS

Journal of Quantitative Linguistics Pub Date : 2024-04-08 DOI:10.1080/09296174.2024.2329448

Lukas Sönning, Manfred Krug, Fabian Vetter, Timo Schmid, Anne Leucht, Paul Messer

引用次数: 0

Abstract

In empirical work, ordinal variables are typically analysed using means based on numeric scores assigned to categories. While this strategy has met with justified criticism in the methodological li...

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语言数据分析中序数结果的潜变量建模

在实证研究工作中，通常使用基于分类数字分数的平均值来分析序数变量。虽然这种策略在方法论上受到了合理的批评，但在实证研究中却得到了广泛的应用。

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来源期刊

Journal of Quantitative Linguistics Multiple-

CiteScore

2.90

自引率

7.10%

发文量

期刊介绍： The Journal of Quantitative Linguistics is an international forum for the publication and discussion of research on the quantitative characteristics of language and text in an exact mathematical form. This approach, which is of growing interest, opens up important and exciting theoretical perspectives, as well as solutions for a wide range of practical problems such as machine learning or statistical parsing, by introducing into linguistics the methods and models of advanced scientific disciplines such as the natural sciences, economics, and psychology.

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