软件部署
比例(比率)
透视图(图形)
适应(眼睛)
最佳实践
数据科学
心理学
度量(数据仓库)
计算机科学
营销
业务
人工智能
数据挖掘
经济
管理
神经科学
物理
操作系统
量子力学
作者
Kelly L. Haws,Kevin L. Sample,John Hulland
摘要
Abstract Given that consumer researchers and other social scientists often operate with latent constructs that are not directly observable, sound measurement practices are essential for the continual development of scientific knowledge. An abundance of validated and reliable scales to measure constructs of interest exists within the literature. However, once these measures are introduced, how are they subsequently utilized? In this article, we focus on the deployment of measurement scales and the critical underlying issues consumer behavior and marketing researchers should consider. We discuss recent practices in scale deployment and specifically scale modification (through changes in wording, length, and dimensionality). Building from this perspective, we provide recommendations for best practices in the usage, adaptation, validation, and reporting of previously introduced scales.
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