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首页> 外文期刊>Frontiers in Applied Mathematics and Statistics >Examining Differences in Within- and Between-Person Simple Structures of an Engineering Qualification Test Using Multilevel MIMIC Structural Equation Modeling
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Examining Differences in Within- and Between-Person Simple Structures of an Engineering Qualification Test Using Multilevel MIMIC Structural Equation Modeling

机译：使用多层MIMIC结构方程模型检查工程资格测试中人与人之间简单结构的差异

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The current study sought to meet three aims: (a) to understand the optimal factor structure of the Professional Engineering (ProfEng) test, a measure aiming to assess competency in engineering, within a multilevel (nested) perspective; (b) to examine the psychometric measurement invariance of the ProfEng test across levels due to nesting and across gender at the person level, and, c) to examine the internal consistency of the engineering competency measure at both levels in the analysis. Data involved 1,696 individuals across 21 universities who took a national licensure test as part of the professional accreditation process to obtain a work permit and practice the engineering profession in the Kingdom of Saudi Arabia. Data were analyzed by use of Multilevel Structural Equation Modeling (MLSEM). Results indicated that a 2-factor model at both levels of analysis provided the best fit to the data. We also examined violation of measurement invariance across clusters (cluster bias). Results showed that all factor loadings were invariant across levels, suggesting the presence of strong measurement invariance. Last, invariance across gender was tested by use of the MIMIC multilevel model. Results pointed to the existence of significant differences between genders on levels of personal and professional skills with females having higher levels on personal skills and males on professional. Estimates of internal consistency reliability also varied markedly due to nesting. It is concluded that ignoring a multilevel structure is associated with errors and inaccuracies in the measurement of person abilities as both measurement wise and precision wise the multilevel model provides increased accuracy at each level in the analysis.
机译：当前的研究旨在实现三个目标：（a）了解多级（嵌套）视角下的专业工程（ProfEng）测试的最佳因子结构，该方法旨在评估工程能力。 （b）在人员级别上检查因嵌套和跨性别而在各个级别上的ProfEng测验的心理测量不变性，并且c）在分析中两个级别上检查工程能力测评的内部一致性。数据涉及21所大学中的1,696个人，他们在专业认证过程中参加了国家执照考试，以获取工作许可并在沙特阿拉伯王国从事工程专业。通过使用多级结构方程模型（MLSEM）分析数据。结果表明，在两个分析级别上的2因子模型都最适合数据。我们还检查了跨群集的度量不变性（群集偏差）的违反情况。结果表明，所有因素的负荷在各个水平上都是不变的，这表明存在强烈的测量不变性。最后，使用MIMIC多层次模型测试了性别之间的不变性。结果表明，在个人和专业技能水平上性别存在显着差异，女性的个人技能水平较高，男性的职业技能水平较高。由于嵌套，内部一致性可靠性的估计也显着不同。结论是，忽略多层结构会导致人员能力测量中的错误和不准确性，因为无论是在测量方面还是在精度方面，该多层模型都在分析的每个级别上提供了更高的准确性。

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