Validity Concerns with Multiplying Ordinal Items Defined by Binned Counts: An Application to a Quantity-Frequency Measure of Alcohol Use.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
James S McGinley, Patrick J Curran
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引用次数: 11

Abstract

Social and behavioral scientists often measure constructs that are truly discrete counts by collapsing (or binning) the counts into a smaller number of ordinal responses. While prior quantitative research has identified a series of concerns with similar binning procedures, there has been a lack of study on the consequences of multiplying these ordinal items to create a desired index. This measurement strategy is incorporated in many research applications, but it is particularly salient in the study of substance use where the product of ordinal quantity (number of drinks) and frequency (number of days) items is used to create an index of total consumption. In the current study, we demonstrate both analytically and empirically that this multiplicative procedure can introduce serious threats to construct validity. These threats, in turn, directly impact the ability to accurately measure alcohol consumption.

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Abstract Image

Abstract Image

用分类计数定义的数项相乘的效度问题:酒精使用数量-频率测量的应用。
社会和行为科学家通常通过将计数分解(或分组)成较小数量的顺序反应来测量真正离散计数的结构。虽然先前的定量研究已经确定了一系列与类似分类程序有关的问题,但缺乏对将这些顺序项目相乘以创建所需指数的后果的研究。这种测量策略被纳入许多研究应用中,但它在物质使用研究中尤其突出,其中使用序数(饮料数量)和频率(天数)项目的乘积来创建总消费指数。在目前的研究中,我们从分析和经验两方面证明了这种乘法过程会给结构效度带来严重的威胁。这些威胁反过来又直接影响了准确测量酒精摄入量的能力。
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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