Evaluation of Polytomous Item Locations in Multicomponent Measuring Instruments: A Note on a Latent Variable Modeling Procedure.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2023-06-01 Epub Date: 2022-03-02 DOI:10.1177/00131644211072829
Tenko Raykov, Martin Pusic
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引用次数: 0

Abstract

This note is concerned with evaluation of location parameters for polytomous items in multiple-component measuring instruments. A point and interval estimation procedure for these parameters is outlined that is developed within the framework of latent variable modeling. The method permits educational, behavioral, biomedical, and marketing researchers to quantify important aspects of the functioning of items with ordered multiple response options, which follow the popular graded response model. The procedure is routinely and readily applicable in empirical studies using widely circulated software and is illustrated with empirical data.

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评估多成分测量工具中的多项式项目位置:关于潜在变量建模程序的说明。
本说明涉及多成分测量工具中多变量项目位置参数的评估。本文概述了在潜变量建模框架内开发的这些参数的点估计和区间估计程序。该方法允许教育、行为、生物医学和市场营销研究人员对具有有序多反应选项的项目功能的重要方面进行量化,这些项目遵循流行的分级反应模型。该程序可在经验研究中使用广泛流传的软件进行常规和随时应用,并用经验数据进行了说明。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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