...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of applied measurement >Measuring Self-complexity: A Critical Analysis Of Linville's H Statistic
【24h】

Measuring Self-complexity: A Critical Analysis Of Linville's H Statistic

机译：测量自我复杂性：Linville H统计量的批判分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The paper argues that the most commonly used measure of self-complexity, Linville's H statistic, cannot measure this construct appropriately. It first examines the mathematical properties of H and its relationships with five related indices: the number of self-aspects, the overlap among self-aspects, the average inter-aspect correlation, the ratio of endorsement, and the HICLAS attribute class number. Then, a demonstration study using simulations is reported. Three conclusions are drawn, H and the HICLAS attribute class number are similar in the way they are calculated. Both indices are highly related to the number of self-aspects, while their relationship to overlap is not monotonic. Overlap is affected by the ratio of endorsement and the average inter-aspect correlation but cannot represent the notion of redundancy among traits which directly determines Linville's H statistic. These conclusions are employed to explain the inconsistent findings relating self-complexity and adaptation and an alternative measurement approach is proposed.
机译：该论文认为，最复杂的自我复杂性度量，Linville的H统计量，不能适当地度量这种构造。它首先检查了H的数学特性及其与五个相关指标的关系：自我方面的数量，自我方面之间的重叠，观点间的平均相关性，认可的比率以及HICLAS属性类别号。然后，报告了使用模拟进行的示范研究。得出三个结论，H和HICLAS属性类编号在计算方式上相似。这两个指数都与自我评价的数量高度相关，而它们与重叠的关系并不是单调的。重叠受背书比率和平均种间相关性的影响，但不能代表直接决定Linville H统计量的性状间的冗余概念。这些结论被用来解释关于自我复杂性和适应性的不一致的发现，并提出了一种替代的测量方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号