Texas State University, Management, San Marcos, TX, 78666, USA.
Louisiana Tech Univeristy, Management, Ruston, LA, 71272, USA.
Behav Res Methods. 2024 Oct;56(7):7985-8008. doi: 10.3758/s13428-024-02465-6. Epub 2024 Jul 15.
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.
这项研究是对最近用于标记变量“对蓝色的态度”(Attitude Toward the Color Blue,ATCB)的量表开发工作的扩展,该研究解决了该量表的多种较短排列的有效性问题。本研究的目的是开发一种用于检测常见方法偏差的理想标记变量量表的简短版本。ATCB 较短版本的潜在用途包括密集纵向研究、实施经验采样方法,或任何简短的调查,对于这些调查,原始版本可能由于实施次数过多而变得繁琐,或者与其他几个实质性项目一起出现时,对受访者来说显得非常奇怪。研究 1 在双变量关系上使用 ATCB 的所有六、五和四项目版本进行验证性因素分析(Confirmatory Factor Analysis,CFA)标记技术测试。研究 2 在另一个双变量关系上分析了在第一项研究中发现的 ATCB 缩短长度的最佳和最差表现版本。研究 3 在具有 15 个模型关系的数据集中比较了原始的七项版本以及随机选择的缩短长度版本。研究 4 使用实验来确定在三个实质性变量模型中为受访者提供三种较短的 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,并且研究人员应该根据他们的调查长度选择量表的长度。我们得出结论,ATCB 适用于各种研究情况,它是一种高质量研究的有价值工具。