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催化剂的内部一致性可靠性研究数据采集应用行为分析数据收集应用程序与自闭症个体

Tami Peterson¹, Jessica Dodson², Robert Sherwin³

¹Hyperbaric Oxygen Therapy, The Oxford Center, Brighton, USA.

|May 17, 2024

概括

催化剂Datafinch应用程序在收集自闭症患者应用行为分析 (ABA) 数据时显示出极好的内部一致性可靠性. 这个数字工具是行为数据收集和分析的可靠选择.

科学领域:

心理测量心理测量心理测量
行为科学行为科学
自闭症研究自闭症研究

背景情况:

应用行为分析 (ABA) 是一种广泛用于自闭症谱系障碍 (ASD) 患者的治疗方法.
许多心理测量研究已经评估了ABA中使用的各种仪器的可靠性.
之前没有研究过Catalyst Datafinch ABA数据收集应用程序的内部一致性可靠性.

研究的目的:

为了评估Catalyst Datafinch ABA数据收集应用程序的内部一致性可靠性.
确定该应用程序是否为自闭症患者的行为数据收集提供可靠的测量.

主要方法:

从2023年3月至2024年1月期间在牛津中心进行的研究中提取了四个数据集 (n=62-103).
数据由经过董事会认证的行为分析师 (BCBA) 和行为技术人员使用Catalyst Datafinch应用程序收集.
内部一致性可靠性指标,包括Cronbach的alpha,分半和类间相关系数 (ICC),使用SPSS统计 (v. 29.0) 计算.

主要成果:

克伦巴赫的α值在0.916到0.980之间,表明数据集的可靠性非常好.
分成一半的可靠性系数始终是良好的至优秀的 (0.7770.996).
平均指标的ICC很好 (0.9160.980),而单个指标的ICC从可接受到良好 (0.6090.926).

结论:

催化剂Datafinch应用程序在收集自闭症患者的行为数据方面表现出高的内部一致性可靠性.
该应用程序的心理测量特性表明,它是专业人员可靠的工具.
这些发现支持使用Catalyst Datafinch用于在自闭症研究和实践中可靠的行为数据收集和分析.

关键词:

克朗巴赫的阿尔法字母项目间的相关性项目间的相关性类间的相关性类间的相关性内部一致性可靠性可靠性心理测量测试测试心理测量测试半分半的可靠性半分半的可靠性

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