A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.
A Bayesian region of measurement equivalence (ROME) approach for establishing measurement invariance.
复制标题
用于建立测量不变性的贝叶斯测量等效区域 (ROME) 方法。
DOI：
10.1037/met0000455
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发表时间：
2022
影响因子：
7
通讯作者：
Palardy, Gregory J.
中科院分区：
文献类型：
--
作者：
Zhang, Yichi;Lai, Mark H.;Palardy, Gregory J.
测量不变性研究的重点是识别测试指标测量两个或多个群体的潜在特质的偏差。然而，相对较少的注意力一直致力于非不变性的实际含义。一个重要的问题是，指标或项目的非不变性是否会导致观察到的各组综合得分的差异。目前的研究介绍了贝叶斯测量等效区域（罗马）作为一个框架，可视化和测试的组合影响的部分不变性的组间差异观察分数。在所提出的框架下，研究人员首先计算最高后验密度区间（HPDI）-其中包含最合理的值-在一系列潜在特质水平上观察到的测试分数的预期组差异。通过将HPDI与实际等于零的预定值范围（即测量等效区域）进行比较，研究人员可以确定测试仪器是否实际不变。所提出的罗马方法可用于连续指标和有序项。我们说明了罗马使用五个项目测量特定的自我效能感从全国代表性的10年级学生的样本。而传统的不变性测试确定了一个部分严格的不变性模型，跨性别，统计上显着的非不变的项目被发现有一个可以忽略不计的影响所观察到的分数的比较。这个实证的例子表明，实用程序的罗马方法进行评估的实际意义时，发现统计显着的项目noninvariance。（PsycInfo数据库记录（c）2023阿帕，保留所有权利）
Measurement invariance research has focused on identifying biases in test indicators measuring a latent trait across two or more groups. However, relatively little attention has been devoted to the practical implications of noninvariance. An important question is whether noninvariance in indicators or items results in differences in observed composite scores across groups. The current study introduces the Bayesian region of measurement equivalence (ROME) as a framework for visualizing and testing the combined impact of partial invariance on the group difference in observed scores. Under the proposed framework, researchers first compute the highest posterior density intervals (HPDIs)—which contain the most plausible values—for the expected group difference in observed test scores over a range of latent trait levels. By comparing the HPDIs with a predetermined range of values that is practically equivalent to zero (ie, region of measurement equivalence), researchers can determine whether a test instrument is practically invariant. The proposed ROME method can be used for both continuous indicators and ordinal items. We illustrated ROME using five items measuring mathematics-specific self-efficacy from a nationally representative sample of 10th graders. Whereas conventional invariance testing identifies a partial strict invariance model across gender, the statistically significant noninvariant items were found to have a negligible impact on the comparison of the observed scores. This empirical example demonstrates the utility of the ROME method for assessing practical significance when statistically significant item noninvariance is found.(PsycInfo Database Record (c) 2023 APA, all rights reserved)