用心理测量网络建模研究五个年龄组的法国WISC-V (WISC-VFR) 的结构
Thierry Lecerf1,2, Salome Döll1, Mathilde Bastien1
1Faculty of Psychology and Educational Sciences, University of Geneva, 1205 Geneva, Switzerland.
探索图形分析 (EGA) 揭示了法国Wechsler儿童智力尺度-第五版 (WISC-V),跨年龄组一致的三个维度. 这种网络心理测量方法为评估构造有效性提供了一种新的方法.
科学领域:
- 心理测量和心理评估
- 网络心理测量 网络心理测量
- 情报测量 情报测量 情报测量
背景情况:
- 探索性和确认性因子分析是检查心理仪器维度的标准.
- 网络心理测量通过探索图形分析 (EGA) 提供了一种新的方法.
研究的目的:
- 在五个年龄组中使用EGA调查法国儿童维克斯勒智力尺度-第五版 (WISC-V) 的维度.
- 确定WISC-VFR维度的数量和结构,并评估它们的可重现性和通用性.
主要方法:
- 探索图形分析 (EGA) 应用于来自五个年龄标准化样本的WISC-VFR数据.
- 引导式探索图形分析 (bootEGA) 用于评估已识别的维度的可重现性和通用性.
主要成果:
- 在所有年龄组中,EGA和bootEGA在WISC-VFR中始终确定了三个维度.
- 识别的维度与处理速度,语言理解和一般感知推理因素保持一致.
- 结果不支持视觉空间和流体推理维度之间的区别.
结论:
- EGA和bootEGA为评估心理仪器的构造有效性提供了有价值的工具,比如WISC-V.
- 这些发现表明WISC-VFR的三因素结构,挑战视觉空间和流体推理之间的区别.
- 网络心理测量为心理仪器评估提供了一个强大的替代方案.
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