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通过年龄、强度和持续时间、开放目标预测自闭症个体的行为目标掌握情况,以及应用行为分析预测维持失败情况

Predicting Behavioral Target Mastery With Age, Intensity and Duration, Open Targets, and Maintenance Failure With Applied Behavior Analysis in Individuals With Autism.

作者信息

Peterson Tami, Dodson Jessica, Strale Frederick

机构信息

Special Education, The Oxford Center, Brighton, USA.

Applied Behavior Analysis, The Oxford Center, Brighton, USA.

出版信息

Cureus. 2024 Feb 10;16(2):e53964. doi: 10.7759/cureus.53964. eCollection 2024 Feb.

Abstract

Background Researchers have studied the effects of age, treatment intensity, and treatment duration with applied behavior analysis (ABA) outcomes in autistic individuals. This study's primary objective was to evaluate the predictive capabilities of age, intensity, and duration of treatment, open behavioral targets, and behavior maintenance failure on behavioral target mastery. Methods A retrospective cohort of 100 autistic individuals treated with ABA with functional analysis and discrete trial training, mass trials, and naturalistic training were treated and analyzed. Target behavioral mastery data was collected via a retrospective chart review contained within the "Catalyst" tracking software. ABA treatment was administered for three months between March 19, 2023, and June 11, 2023. Multiple linear regression was performed using the percentage of behavioral targets mastered as the dependent variable. The independent variables were age, average trials to behavioral mastery, average teaching days to behavioral mastery, and percentage of behavioral targets that failed in maintenance. Results The multiple linear regression model was statistically significant (R=0.443, R²=0.196, adjusted R=0.150, F(5, 87)=4.239, p=0.002). The average teaching days to mastery (β=0.416, p=0.019) and percentage of targets failed in maintenance (β=0.201, p=0.047) significantly predicted the percentage of behavioral targets mastered. However, age (β=0.079, p=0.419), average trials to mastery (β=-0.271, p=0.114), and open targets (β=0.184, p=0.081) did not significantly predict the percentage of behavioral targets mastered. The analysis of variance (ANOVA) resulted in non-significant (p>0.05) age group differences between the above variables. Conclusions The predictor variables average teaching days to mastery (intensity and duration) and percentage of targets failed in maintenance had a statistically significant effect on the percentage of behavioral targets mastered. The predictor variables age, average trials to behavioral mastery (intensity and duration), and open behavioral targets had a non-significant influence on the percentage of behavioral targets mastered. A non-significant difference between age groups was found in all study variables.

摘要

背景 研究人员已对年龄、治疗强度和治疗持续时间对自闭症个体应用行为分析(ABA)结果的影响进行了研究。本研究的主要目的是评估年龄、治疗强度和持续时间、开放行为目标以及行为维持失败对行为目标掌握情况的预测能力。方法 对100名接受ABA治疗、进行功能分析以及离散式试验训练、大量试验和自然主义训练的自闭症个体进行回顾性队列研究并分析。通过“Catalyst”跟踪软件中的回顾性图表审查收集目标行为掌握数据。ABA治疗于2023年3月19日至2023年6月11日进行了三个月。以掌握的行为目标百分比作为因变量进行多元线性回归。自变量为年龄、达到行为掌握的平均试验次数、达到行为掌握的平均教学天数以及维持失败的行为目标百分比。结果 多元线性回归模型具有统计学意义(R = 0.443,R² = 0.196,调整后R = 0.150,F(5, 87) = 4.239,p = 0.002)。达到掌握的平均教学天数(β = 0.416,p = 0.019)和维持失败的目标百分比(β = 0.201,p = 0.047)显著预测了掌握的行为目标百分比。然而,年龄(β = 0.079,p = 0.419)、达到掌握的平均试验次数(β = -0.271,p = 0.114)和开放目标(β = 0.184,p = 0.081)并未显著预测掌握的行为目标百分比。方差分析(ANOVA)结果显示上述变量在年龄组之间无显著差异(p > 0.05)。结论 预测变量达到掌握的平均教学天数(强度和持续时间)以及维持失败的目标百分比对掌握的行为目标百分比具有统计学显著影响。预测变量年龄、达到行为掌握的平均试验次数(强度和持续时间)以及开放行为目标对掌握的行为目标百分比影响不显著。在所有研究变量中,年龄组之间未发现显著差异。

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