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Assessing the Quality and Appropriateness of Factor Solutions and Factor Score Estimates in Exploratory Item Factor Analysis

机译：评估因子解决方案的质量和适当性和探索项目因子分析中的因子评分估计

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摘要

This article proposes a comprehensive approach for assessing the quality and appropriateness of exploratory factor analysis solutions intended for item calibration and individual scoring. Three groups of properties are assessed: (a) strength and replicability of the factorial solution, (b) determinacy and accuracy of the individual score estimates, and (c) closeness to unidimensionality in the case of multidimensional solutions. Within each group, indices are considered for two types of factor-analytic models: the linear model for continuous responses and the categorical-variable-methodology model that treats the item scores as ordered-categorical. All the indices proposed have been implemented in a noncommercial and widely known program for exploratory factor analysis. The usefulness of the proposal is illustrated with a real data example in the personality domain.
机译：本文提出了一种综合方法，用于评估探索性因子分析解决方案的质量和适当性，用于物品校准和个人得分。 评估了三组属性：（a）因子解决方案的强度和可重量，（b）个人评分估计的确定性和准确性，（c）在多维解决方案的情况下对单维力的密切性。 在每个组内，索引考虑两种类型的因子分析模型：连续响应的线性模型和分类 - 可变方法模型，以有序分类处理物品分数。 提出的所有索引已在非商业和广泛的已知计划中实施，用于探索性因子分析。 该提案的有用性在人格域中的实际数据示例进行了说明。

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