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投稿e-mail: jbnuns_sub@bnu.edu.cn

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标题

成对比较数据和排序数据的处理: 模型分析的方法

作者

宋晓娟 刘红云

机构

北京师范大学心理学院

摘要

对近年来研究者所提出的瑟斯顿模型和BTL模型两大类模型进行综述,总结了目前研究者提出的2种数据分析和处理方法视角:多层线性模型(HLM)和结构方程模型(SEM).基于模型的方法不仅充分利用了成对比较和排序数据的信息,而且模型更具拓展性,如为考察协变量、潜类别等的影响提供可能,也为迫选测验等的开发提供指导意义. 本文不涉及复杂的统计知识,运用心理学研究中被熟知的模型对处理成对比较数据和排序数据的模型及其模型估计进行说明,并通过Mplus软件示例,以期模型分析的方法在对成对比较数据和排序数据的处理上得到广泛的应用..

关键词

成对比较数据; 排序数据; 瑟斯顿模型; BTL模型; 多层线性模型; 结构方程模型

引用

宋晓娟 刘红云. 成对比较数据和排序数据的处理: 模型分析的方法 [J]. 北京师范大学学报(自然科学版),2016,52(4)525-531.

基金

全国教育科学“十二五”规划教育部重点课题资助项目(GFA111001)

分类号

C32

DOI

10.16360/j.cnki.jbnuns.2016.04.021

Title

Paired-comparison and ranking data: a method of modeling analysis

Author

SONG Xiaojuan, LIU Hongyun

Affiliations

School of Psychology, Beijing Normal University

Abstract

Modeling of paired-comparison and ranking data plays an important role in measuring attitudes, preferences, and values. However, since modele stimation is complex and requires special knowledge of statistics, model application analysis is restricted, information of items is lost. Thurstone and BTL models, two main models proposed in recent years, were reviewed. Two perspectives of data analysis were summed up: hierarchical linear model (HLM) and structural equation model (SEM). Model-based methods not only can make full use of data information, models can also be extended. Effects of covariates and latent class could be investigated, guidance for development of tests including forced choice test could be provided. Known models and model estimation were used to deal with paired comparison and ranking data,without involving sophisticated statistical knowledge. Mplus software examples are provided for further empirical studies. It is hoped that modeling analysis of paired comparison and ranking data can be widely used.

Key words

paired-comparison data; ranking data; Thurstone model; BTL model; hierarchical linear model; structural equation model

cite

SONG Xiaojuan, LIU Hongyun. Paired-comparison and ranking data: a method of modeling analysis [J]. Journal of Beijing Normal University (Natural Science), 2016,52(4):525-531.

DOI

10.16360/j.cnki.jbnuns.2016.04.021

Copyright © 2014 Journal of Beijing Normal University (Natural Science)
Designed by Mr. Sun Chumin. Email: cmsun@mail.bnu.edu.cn