选择合适的模型：为旅游构建物选择测量模型的实用指南

IF 10.9 1区管理学 Q1 ENVIRONMENTAL STUDIES

Tourism Management Pub Date : 2024-03-06 DOI:10.1016/j.tourman.2024.104917

Josip Mikulić

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引用次数: 0

摘要

最近，旅游研究中的量表开发研究激增，这就要求我们对构建操作化的方法进行批判性的重新评估。本文提出了一个基本问题：我们正在开发或使用的量表的预期目的是什么？通过明确考虑这个问题，研究人员可以就最合适的测量模型选择做出明智的决策。本文介绍了三种常见的研究目的，每种目的都能指导研究人员选择最合适的建模方法。此外，文章还就如何避免量表开发中的常见误区提供了实用指导。这一框架既有利于初涉潜在变量建模的研究人员，也有利于经验丰富的研究人员完善量表开发和构念操作方法。

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Choosing the right fit: A practical guide to selecting measurement models for tourism constructs

The recent surge in scale development studies within tourism research necessitates a critical reevaluation of our approach to construct operationalization. This paper addresses a gap in the literature by posing a fundamental question: what is the intended purpose of the scale we are developing or using? By explicitly considering this question, researchers can make informed decisions about the most appropriate measurement model option. This article presents three common research objectives, each guiding researchers towards the most suitable modelling approach. Additionally, the article offers practical guidance on avoiding common pitfalls in scale development. This framework benefits both early-career researchers new to latent variable modelling and experienced researchers seeking to refine their approach to scale development and construct operationalization.

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来源期刊

Tourism Management Multiple-

CiteScore

24.10

自引率

7.90%

发文量

190

审稿时长

45 days

期刊介绍： Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.