评估口头行为里程碑评估和安置计划 (VB-MAPP) 评分使用主要组件分析
Tami Peterson1, Jessica Dodson2, Robert Sherwin3
1Hyperbaric Oxygen Therapy, The Oxford Center, Brighton, USA.
Cureus
|September 11, 2024
概括
这项研究使用主要组件分析 (PCA) 分析了口头行为里程碑评估和放置计划 (VB-MAPP). 结果显示,应用行为分析 (ABA) 疗法增加了自闭症儿童口头和社会行为因素的复杂性.
科学领域:
- 发展心理学 发展心理学
- 应用行为分析 (ABA)
- 自闭症谱系障碍 (ASD) 研究研究
背景情况:
- 语言行为里程碑评估和安置计划 (VB-MAPP) 对于评估患有自闭症和语言迟缓的儿童至关重要.
- 应用行为分析 (ABA) 专业人士使用VB-MAPP来定制干预计划.
- 有限的研究存在于VB-MAPP的维度,使用主要组件分析 (PCA) 进行预测,后测和差异得分.
研究的目的:
- 在VB-MAPP前测试,后测试和差异分数上进行PCA,以了解其因子结构.
- 在接受ABA治疗的自闭症儿童中探索VB-MAPP得分的维度.
- 为应对语言和社会沟通挑战制定更有效的评估和干预策略提供信息.
主要方法:
- 用VB-MAPP (预测后测试设计) 用ABA治疗的13名自闭症儿童的回顾性分析.
- 进行了描述性统计,可靠性Cronbach的alpha,威尔科克森签名等级测试的意义,和PCA与直角旋转.
- 分析重点是测试前,测试后和差异分数,以检查VB-MAPP的因子结构.
主要成果:
- 对于预测 (0.948) 和后测 (0.937) 评分的高内部一致性可靠性;对于差异评分 (0.752) 可接受.
- PCA确定了前测试 (85.584%的差异) 和后测试 (84.293%的差异) 成绩的三个因素.
- PCA揭示了差异得分的四个因素 (82.317%的差异),表明ABA治疗后复杂性增加.
结论:
- 从ABA治疗后的三个至四个主要成分的转变凸显了治疗对儿童口语和社会行为的多方面的影响.
- 增加的因素复杂性表明了更丰富,更细微的改善模式,反映了ABA的有效性.
- 研究结果支持ABA的综合性和个性化性质,促进自闭症儿童的广泛发育收益.
相关概念视频
Principal Moments of Area
1.0K
In mechanics, the product of inertia and moments of inertia of area help to calculate the stability and performance of various structures and components. The coordinate transformation relations are used to calculate the moments and products of inertia for an area about the inclined axes. Further, the moments and products of inertia with respect to the principal axes can be determined using the moments and products of inertia about the inclined axes.
The principal moment of inertia axes are the...
The principal moment of inertia axes are the...
1.0K
Spearman's Rank Correlation Test
734
Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates...
Spearman's test calculates...
734
Multiple Comparison Tests
3.9K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.9K
Reliability and Validity
12.7K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
12.7K
One-Way ANOVA
7.9K
One-way ANOVA analyzes more than three samples categorized by one factor. For example, it can compare the average mileage of sports bikes. Here, the data is categorized by one factor - the company. However, one-way ANOVA cannot be used to simultaneously compare the sample mean of three or more samples categorized by two factors. An example of two factors would be sports bikes from different companies driven in different terrains, such as a desert or snowy landscape. Here, two-way ANOVA is used...
7.9K
Principal Stresses: Problem Solving
172
When analyzing two planes intersecting at right angles under the influence of shearing, tensile, and compressive stresses, it is essential to identify principal planes, maximum shearing stress, and principal stresses. To find the principal planes, apply a formula that equates them to twice the shearing stress divided by the difference between tensile and compressive stresses.
172


