EXPRESS: Modeling multidimensionality in hospitality and tourism research: Exploratory higher-order factor analysis

Millicent Njeri, Nathaniel D. Line, Lydia Hanks
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Abstract

The hospitality and tourism discipline has been criticized for often taking a lackadaisical approach to the modeling of latent phenomena. Research on scale development has been found to lack transparency and/or to omit important methodological steps, thus calling into question the validity and reliability of the existing scales. To address these issues, there is a need for more research that emphasizes measurement issues and provides methodological guidance to hospitality scholars interested in scale development. Given the multidimensional nature of most phenomena and the complexity of human behavior, this study seeks to provide researchers, within and outside the field, with a guide to exploratory higher-order factor analyses. An empirical example of the recommended practices is provided using data collected from a sample of destination marketing organization (DMO) executives.
EXPRESS:酒店与旅游研究中的多维建模:探索性高阶因子分析
款待与旅游学科经常被批评为对潜在现象的建模缺乏热情。有关量表开发的研究缺乏透明度和/或省略了重要的方法步骤,从而使现有量表的有效性和可靠性受到质疑。为了解决这些问题,有必要开展更多强调测量问题的研究,并为对量表编制感兴趣的学者提供方法指导。鉴于大多数现象的多维性和人类行为的复杂性,本研究旨在为该领域内外的研究人员提供探索性高阶因子分析指南。本研究利用从目的地营销组织 (DMO) 管理人员样本中收集的数据,提供了一个经验性实例,说明了所推荐的做法。
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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