The role of structural equation modeling in scale development
The role of structural equation modeling in scale development
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DOI：
10.1207/s15328007sem1004_8
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发表时间：
2003-01-01
影响因子：
6
通讯作者：
Noar, SM
中科院分区：
文献类型：
--
作者：
Noar, SM
在各种学科和研究领域，可靠和有效的测量方法是高质量研究的基石。之所以如此，是因为要对我们的研究结果有信心，我们首先必须对我们的措施的质量有信心。本文简要回顾了量表开发的文献，并对量表开发过程进行了实证论证。所考虑的例子是安全套影响策略问卷简表（CISQ-S）的开发和验证，这是一个衡量个人说服其伴侣使用安全套方式的量表。特别关注结构方程建模技术，特别是验证性因素分析，对规模开发带来的独特贡献。还考虑了潜变量建模及其在规模开发中的应用。讨论了对规模开发人员的建议和影响。
Across a variety of disciplines and areas of inquiry, reliable and valid measures are a cornerstone of quality research. This is the case because to have confidence in the findings of our studies, we must first have confidence in the quality of our measures. This article briefly reviews the literature on scale development and provides an empirical demonstration of the scale development process. The example considered is the development and validation of a condom influence strategy questionnaire-short form (CISQ-S), a scale to measure ways individuals persuade their partners to use condoms. A special focus is put on the unique contribution that structural equation modeling techniques, particularly confirmatory factor analysis, bring to scale development. Latent variable modeling and its applications to scale development are also considered. Suggestions and implications for scale developers are discussed.