对WAB中文版本的相对权重分析
1School of Foreign Languages, Shanghai Jiao Tong University, Shanghai, China.
International journal of language & communication disorders
|February 19, 2025
概括
命名测试对患有失言症的中文说话者的失言率 (AQ) 贡献最大,与自发言语是关键的英语说话者不同. 这突显了对口音障碍的评估和康复需求的语言差异.
科学领域:
- 神经语言学是一种神经语言学.
- 语音语言病理学 语言病理学
背景情况:
- 西方失语电池 (WAB) 用于评估失语率 (AQ).
- 以前的研究表明,自发言语是英语发言者AQ的主要贡献者.
- 目前尚不清楚这种情况是否适用于讲中文的人,或者适用于不同严重程度的失言症.
研究的目的:
- 调查WAB的组件如何对中国口语人士的口音障碍的AQ做出贡献.
- 将这些贡献与英语人口的发现进行比较.
- 探索语障严重程度对这些贡献的影响.
主要方法:
- 分析了94名汉语说话的失语患者的数据.
- 应用Lmg和Pmvd算法用于WAB组件的相对重量分析.
- 对严重,中度和轻度失言症严重程度组的贡献进行了检查.
主要成果:
- 命名成为中国人中AQ的最重要贡献者.
- 对象命名是贡献最高的子测试.
- 对于严重和中度的失语症,命名是主要的贡献者;对于轻度的失语症,自发的言语占主导地位.
结论:
- 在中国和英语发言人之间,WAB组件对QA的贡献存在显著的跨语言差异.
- 命名是中文说话者的主要因素,与英语说话者的自发言语形成鲜明对比.
- 了解这些语言特异性的差异对于准确的语盲评估和定制的康复策略至关重要.
相关概念视频
Weighted Mean
4.9K
While taking the arithmetic, geometric, or harmonic mean of a sample data set, equal importance is assigned to all the data points. However, all the values may not always be equally important in some data sets. An intrinsic bias might make it more important to give more weightage to specific values over others.
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
For example, consider the number of goals scored in the matches of a tournament. While computing the average number of goals scored in the tournament, it may be more important to...
4.9K
Kendall's Coefficient of Concordance
217
Kendall's Coefficient of Concordance (W), also known as Kendall's W, is a non-parametric statistical measure used to assess the agreement or concordance between multiple raters or judges when they rank a set of items. It is often used when you have ordinal data (ranks) and you want to see if there is consistency or consensus among the raters. It is widely applied in research areas such as psychology, medicine, and social sciences, where multiple judges are asked to rank or rate subjects...
217
Wald-Wolfowitz Runs Test I
594
The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
The test works...
594
Wilcoxon Signed-Ranks Test for Median of Single Population
90
The Wilcoxon signed-rank test for the median of a single population is a nonparametric test used to evaluate whether the median of a population differs from a specified value. Unlike parametric tests, it does not require data to follow a normal distribution, making it suitable for non-normal or small samples. The test begins by calculating the difference (d) between each observation and the hypothesized median. The absolute values of these differences are ranked in ascending order, with ties...
90
Wald-Wolfowitz Runs Test II
172
The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
172
Rigid Body Equilibrium Problems - II
7.0K
A rigid body is in static equilibrium when the net force and the net torque acting on the system are equal to zero.
Consider two children sitting on a seesaw, which has negligible mass. The first child has a mass (m1) of 26 kg and sits at point A, which is 1.6 meters (r1) from the pivot point B; the second child has a mass (m2) of 32 kg and sits at point C. How far from the pivot point B should the second child sit (r2) to balance the seesaw?
Consider two children sitting on a seesaw, which has negligible mass. The first child has a mass (m1) of 26 kg and sits at point A, which is 1.6 meters (r1) from the pivot point B; the second child has a mass (m2) of 32 kg and sits at point C. How far from the pivot point B should the second child sit (r2) to balance the seesaw?
7.0K


