Effective and adaptable: Four studies on the shortened attitude toward the color blue marker variable scale.

IF 5.4 3区 材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2024-10-01 Epub Date: 2024-07-15 DOI:10.3758/s13428-024-02465-6
Brian Miller, Marcia Simmering, Elizabeth Ragland
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Abstract

This research is an extension of the recent scale development efforts for the marker variable Attitude Toward the Color Blue (ATCB), which addresses the efficacy of multiple shorter permutations of the scale. The purpose of this study is to develop a shorter version of an ideal marker variable scale used to detect common method variance. Potential uses of the shorter version of ATCB include intensive longitudinal studies, implementation of experience sampling methodology, or any brief survey for which the original version might be cumbersome to implement repeatedly or appear very odd to the respondent when paired with only a few other substantive items. Study 1, uses all six-, five-, and four-item versions of ATCB in confirmatory factor analysis (CFA) marker technique tests on a bivariate relationship. Study 2 analyzes the best- and worst-performing versions of reduced lengths of the ATCB scale found in the first study on another bivariate relationship. Study 3 compares the original seven-item version, as well as randomly selected reduced length versions in a data set with 15 model relationships. Study 4 uses an experiment to determine the efficacy of providing respondents with one of three shorter ATCB scales in a model of three substantive variables. Our findings indicate that ATCB of different permutations and lengths can detect CMV successfully, and that researchers should choose the length of scale based on their survey length. We conclude that ATCB is adaptable for a variety of research situations, presenting it as a valuable tool for high-quality research.

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有效且适应性强:关于缩短的蓝色标记态度变量量表的四项研究。
本研究是对最近针对标记变量 "对蓝色的态度"(ATCB)所做量表开发工作的延伸,该量表涉及量表的多种较短排列组合的有效性。本研究的目的是为理想的标记变量量表开发一个更简短的版本,用于检测共同方法变异。简短版 ATCB 的潜在用途包括深入的纵向研究、经验抽样方法的实施,或任何简短的调查,对于这些调查,原始版本在重复实施时可能会很麻烦,或者在与其他几个实质性项目配对时会让受访者觉得非常奇怪。研究 1 使用 ATCB 的所有六项、五项和四项版本进行确证因子分析(CFA)标记技术测试二元关系。研究 2 分析了第一项研究中发现的 ATCB 量表中表现最好和最差的缩减长度版本,并对另一种二元关系进行了分析。研究 3 比较了原始的七项目量表,以及在一个包含 15 个模型关系的数据集中随机选择的缩短量表。研究 4 通过实验来确定在三个实质性变量模型中,向受访者提供三个较短 ATCB 量表之一的效果。我们的研究结果表明,不同排列和长度的 ATCB 可以成功检测 CMV,研究人员应根据调查长度选择量表长度。我们的结论是,ATCB 适用于各种研究情况,是高质量研究的重要工具。
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来源期刊
ACS Applied Energy Materials
ACS Applied Energy Materials Materials Science-Materials Chemistry
CiteScore
10.30
自引率
6.20%
发文量
1368
期刊介绍: ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.
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