话语类型和诱导任务对语言采样结果的影响
Trina D Spencer1, Trina J Tolentino2, Matthew E Foster1
1Rightpath Research and Innovation Center, College of Behavioral and Community Sciences, University of South Florida, Tampa, FL.
American journal of speech-language pathology
|October 2, 2023
概括
不同的语言采样方法显著影响语言评估结果. 叙事重述和阐述式生成任务在K-3学生中产生了更长,更多样化的样本和更高的语法复杂性.
科学领域:
- 语音和语言病理学 语言病理学
- 发展心理学 发展心理学
- 教育评估的教育评估
背景情况:
- 语言采样对于评估儿童语言发展至关重要.
- 诱导技术的变化可以影响收集的语言样本的质量和特征.
- 了解这些影响对于准确的语言评估至关重要.
研究的目的:
- 调查不同的话语类型 (叙述与阐述) 和诱导任务 (生成与重述) 如何影响关键语言采样结果.
- 分析这些变化的对样本长度,词汇多样性和语法复杂性的影响.
- 通过K-3年级检查这些结果的发展趋势.
主要方法:
- 在四个条件下从1037名K-3学生收集了八个口语样本:陈述式生成,陈述式重述,叙事式生成和叙事式重述.
- 音频记录,转录和分析的样本总词,不同的单词,单词中发音的平均长度 (MLUW) 和次序指数 (SI).
主要成果:
- 陈述生成和叙事重述任务产生了最大的样本,具有最大的词汇多样性.
- 陈述条件显示了更高的MLUW,而叙述条件的平均SI值更高.
- 叙事重述和阐述性生成任务都导致了最高的平均语法复杂度得分.
结论:
- 语言采样程序的选择直接影响样本长度,词汇多样性,发言长度和语法复杂性.
- 这些发现对临床医生选择适当的语言评估方法具有重大意义.
- 语言复杂性的发育差异在二年级和三年级之间变得不那么明显.
相关概念视频
Sampling Methods: Sample Types
264
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
264
Group Design
9.0K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.0K
Surveys
14.8K
Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
14.8K
Convenience Sampling Method
8.9K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
8.9K
Sampling Theorem
370
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
370
Sampling Distribution
12.9K
Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
12.9K


