The Montreal Battery of Evaluation of Amusia (MBEA) is the gold standard for diagnosing amusia. We aimed to evaluate its factorial and convergent validity. Data were collected for the MBEA and a self-report Amusic Dysfunction Inventory on a non-random sample (n = 249), and the following Structural Equation Modeling (SEM) procedures were conducted: confirmatory factor analysis of the theoretical model; exploratory SEM for alternative non-restricted factor solutions; and structural models with each of these solutions as predictors of the inventory’s items. The theoretical model did not prove acceptable goodness of fit, and twoand threefactor non-restricted models were better-fitted solutions for Scale, Contour and Interval tests, and Meter and Memory tests, respectively, than the theoretical one-factor model. This may reflect distinct perceptual processes rela ted to neurocognitive demand. The non-restricted models of Scale, Meter and Memory showed to be acceptable predictors of self-reported capacity for melodic perception, vocal production, rhythmic coordination, and memory.

中文翻译：

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蒙特利尔电池评估 Amusia 的有效性：使用结构方程建模的分析

蒙特利尔失音症评估组 (MBEA) 是诊断失音症的金标准。我们旨在评估其因子和收敛效度。在非随机样本（n = 249）上收集了 MBEA 和自我报告的 Amusic Dysfunction Inventory 的数据，并进行了以下结构方程建模 (SEM) 程序： 理论模型的验证性因素分析；用于替代非限制因素解决方案的探索性 SEM；和结构模型，将这些解决方案中的每一个作为库存项目的预测因子。理论模型没有证明可以接受的拟合优度，与理论的单因素模型相比，双因素和三因素非限制性模型分别是规模、轮廓和间隔测试以及仪表和内存测试的更好拟合解决方案。这可能反映了与神经认知需求相关的不同感知过程。音阶、节拍和记忆的非限制模型显示是可接受的自我报告的旋律感知、发声、节奏协调和记忆能力的预测指标。