Notes to Factor Analysis Techniques for Construct Validity.

IF 1.7 Q2 NURSING
Canadian Journal of Nursing Research Pub Date : 2024-06-01 Epub Date: 2023-10-06 DOI:10.1177/08445621231204296
Mousa Alavi, Erik Biros, Michelle Cleary
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引用次数: 0

Abstract

This paper introduces and discusses factor analysis techniques for construct validity, including some suggestions for reporting using the evidence to support the construct validity from exploratory and confirmatory factor analysis techniques. Construct validity is a vital part of psychological testing and a prerequisite to every measurement instrument, including aptitude, achievement, and interests. Research, particularly in nursing and the health sciences, depends on reliable and valid measurements. Therefore, a growing emphasis is on assessing validity regarding the structure of test variables commonly estimated by factor analysis techniques. However, it is not always clear how to report the analysis and use it to support the construct validity. Both exploratory and confirmatory factor analysis techniques provide vital evidence to support the construct validity. However, these are not the only available evidence for construct validity, and the researcher should always consider other sources of evidence to develop and support the construct validity of their intended measures. In addition, the collection and presentation of this evidence are not limited to a time, but the validity of constructs is a continuous process that leads to validating the underlying theories from which constructs have emerged.

构念有效性因素分析技术注意事项。
本文介绍并讨论了结构有效性的因素分析技术,包括从探索性和验证性因素分析技术中提出的使用证据支持结构有效性报告的一些建议。构念有效性是心理测试的重要组成部分,也是各种测量工具的先决条件,包括能力、成就和兴趣。研究,特别是在护理和健康科学方面,依赖于可靠有效的测量。因此,越来越重视评估通常通过因子分析技术估计的测试变量结构的有效性。然而,如何报告分析并使用它来支持结构的有效性并不总是很清楚。探索性和验证性因素分析技术都为支持结构的有效性提供了重要的证据。然而,这些并不是结构有效性的唯一可用证据,研究人员应始终考虑其他证据来源,以发展和支持其预期措施的结构有效性。此外,这些证据的收集和呈现并不局限于一个时间,但构念的有效性是一个持续的过程,它会导致验证构念产生的基本理论。
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
CiteScore
4.00
自引率
4.80%
发文量
32
期刊介绍: We are pleased to announce the launch of the CJNR digital archive, an online archive available through the McGill University Library, and hosted by the McGill University Library Digital Collections Program in perpetuity. This archive has been made possible through a Richard M. Tomlinson Digital Library Innovation and Access Award to the McGill School of Nursing. The Richard M. Tomlinson award recognizes the ongoing contribution and commitment the CJNR has made to the McGill School of Nursing, and to the development and nursing science in Canada and worldwide. We hope this archive proves to be an invaluable research tool for researchers in Nursing and other faculties.
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