使用临床样本对WISC-V进行探索性图形分析
Marley W Watkins1, Stefan C Dombrowski2, Ryan J McGill3
1Department of Educational Psychology, Baylor University, Waco, TX 76798, USA.
Journal of Intelligence
|July 28, 2023
概括
探索图形分析 (EGA) 揭示了维克斯勒儿童智力尺度的四个维度第五版 (WISC-V),与传统的因子分析不同. 这一发现引起了人们对临床心理学当前WISC-V解释的担忧.
科学领域:
- 心理评估 心理评估
- 心理测量 心理测量 心理测量
- 网络分析 网络分析
背景情况:
- 结构有效性对于心理测试中的构造有效性至关重要.
- 传统的因子分析方法给WISC-V带来了不一致的维度.
- 探索图形分析 (EGA) 提供了一种替代方法来识别测试结构.
研究的目的:
- 使用引导式EGA技术调查WISC-V的结构有效性.
- 将EGA识别的维度与传统的因子分析结果进行比较.
- 在大型临床样本中检查WISC-V的构造和评分结构.
主要方法:
- 在一个大型临床样本 (N = 7149) 上使用了引导式探索图形分析 (EGA).
- 分析了WISC-V的10个主要子测试的结构.
- 调查了网络结构,而没有假设得分共变的常见潜在原因.
主要成果:
- 确定了WISC-V主要子测试的四个子网络结构.
- EGA结构表明流体推理和视觉空间维度的融合.
- 结果表明,WISC-V的构造和出版商喜欢的评分结构之间存在差异.
结论:
- 该研究强调了由于结构上的差异导致的WISC-V解释的潜在问题.
- EGA为WISC-V的维度提供了一个新的视角.
- 心理学家在根据出版商的结构来解释WISC-V结果时应该谨慎.
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