Lee Mason, Alexis Bolds, Maeve Gavagan, Chris Ninness
{"title":"理解回声:识别声音模仿的预测指标。","authors":"Lee Mason, Alexis Bolds, Maeve Gavagan, Chris Ninness","doi":"10.1007/s40616-024-00213-7","DOIUrl":null,"url":null,"abstract":"<p><p>A growing body of literature supports the use of echoic prompts toward conditioning other functional language skills. However, many individuals with autism spectrum disorder do not emit echoic behavior. Identifying the prerequisite skills of an echoic repertoire may be beneficial for intervention planning and clinical decision making. A chart review was conducted for 118 patients with autism who received early intensive behavioral intervention. We examined the Level 1 scores on the <i>Verbal Behavior Milestones Assessment and Placement Program</i> (Sundberg, 2014) for all patients. Using their scores on the echoic skills subtest as a dependent variable, we ran a binomial logistic regression in which the remaining eight domains, along with age and sex, served as independent variables. Our logistic regression model was statistically significant: <i>X</i> <sup><i>2</i></sup> (10) = 109.61, <i>p</i> < .001. The model explained 86.0% of the variance in echoic verbal behavior and correctly classified 95.8% of cases. Patients who demonstrated a mand repertoire were greater than 3.5 times more likely to also exhibit an echoic repertoire. Additionally, vocal play and motor imitation were associated with an increased ability to echo. Using binomial logistic regression, we identified three predictors influencing the echoic behavior of children with autism. Patients who demonstrated these three skills were statistically significantly more likely to echo the vocal verbal behavior of others. Additional research is now needed to confirm a functional relationship between each of these predictors and echoic control.</p>","PeriodicalId":51684,"journal":{"name":"Analysis of Verbal Behavior","volume":"41 1","pages":"84-100"},"PeriodicalIF":0.8000,"publicationDate":"2024-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12283487/pdf/","citationCount":"0","resultStr":"{\"title\":\"Understanding Echoics: Identifying Predictive Indicators of Vocal Imitation.\",\"authors\":\"Lee Mason, Alexis Bolds, Maeve Gavagan, Chris Ninness\",\"doi\":\"10.1007/s40616-024-00213-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>A growing body of literature supports the use of echoic prompts toward conditioning other functional language skills. However, many individuals with autism spectrum disorder do not emit echoic behavior. Identifying the prerequisite skills of an echoic repertoire may be beneficial for intervention planning and clinical decision making. A chart review was conducted for 118 patients with autism who received early intensive behavioral intervention. We examined the Level 1 scores on the <i>Verbal Behavior Milestones Assessment and Placement Program</i> (Sundberg, 2014) for all patients. Using their scores on the echoic skills subtest as a dependent variable, we ran a binomial logistic regression in which the remaining eight domains, along with age and sex, served as independent variables. Our logistic regression model was statistically significant: <i>X</i> <sup><i>2</i></sup> (10) = 109.61, <i>p</i> < .001. The model explained 86.0% of the variance in echoic verbal behavior and correctly classified 95.8% of cases. Patients who demonstrated a mand repertoire were greater than 3.5 times more likely to also exhibit an echoic repertoire. Additionally, vocal play and motor imitation were associated with an increased ability to echo. Using binomial logistic regression, we identified three predictors influencing the echoic behavior of children with autism. Patients who demonstrated these three skills were statistically significantly more likely to echo the vocal verbal behavior of others. Additional research is now needed to confirm a functional relationship between each of these predictors and echoic control.</p>\",\"PeriodicalId\":51684,\"journal\":{\"name\":\"Analysis of Verbal Behavior\",\"volume\":\"41 1\",\"pages\":\"84-100\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2024-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12283487/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Analysis of Verbal Behavior\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40616-024-00213-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/6/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"PSYCHOLOGY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analysis of Verbal Behavior","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40616-024-00213-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/6/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"PSYCHOLOGY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
越来越多的文献支持使用回声提示来调节其他功能性语言技能。然而,许多自闭症谱系障碍患者不会发出回声行为。识别回声曲目的先决技能可能有利于干预计划和临床决策。对118名接受早期强化行为干预的自闭症患者进行了图表回顾。我们检查了所有患者的言语行为里程碑评估和安置计划(Sundberg, 2014)的1级分数。使用他们在回声技能子测试中的得分作为因变量,我们运行了一个二项逻辑回归,其中剩下的八个领域,以及年龄和性别,作为自变量。我们的逻辑回归模型具有统计学意义:x2 (10) = 109.61, p
Understanding Echoics: Identifying Predictive Indicators of Vocal Imitation.
A growing body of literature supports the use of echoic prompts toward conditioning other functional language skills. However, many individuals with autism spectrum disorder do not emit echoic behavior. Identifying the prerequisite skills of an echoic repertoire may be beneficial for intervention planning and clinical decision making. A chart review was conducted for 118 patients with autism who received early intensive behavioral intervention. We examined the Level 1 scores on the Verbal Behavior Milestones Assessment and Placement Program (Sundberg, 2014) for all patients. Using their scores on the echoic skills subtest as a dependent variable, we ran a binomial logistic regression in which the remaining eight domains, along with age and sex, served as independent variables. Our logistic regression model was statistically significant: X2 (10) = 109.61, p < .001. The model explained 86.0% of the variance in echoic verbal behavior and correctly classified 95.8% of cases. Patients who demonstrated a mand repertoire were greater than 3.5 times more likely to also exhibit an echoic repertoire. Additionally, vocal play and motor imitation were associated with an increased ability to echo. Using binomial logistic regression, we identified three predictors influencing the echoic behavior of children with autism. Patients who demonstrated these three skills were statistically significantly more likely to echo the vocal verbal behavior of others. Additional research is now needed to confirm a functional relationship between each of these predictors and echoic control.
期刊介绍:
The Analysis of Verbal Behavior (TAVB) is an official publication of the Association for Behavior Analysis International. The Mission of the journal is to support the dissemination of innovative empirical research, theoretical conceptualizations, and real-world applications of the behavioral science of language. The journal embraces diverse perspectives of human language, its conceptual underpinnings, and the utility such diversity affords. TAVB values contributions that represent the scope of field and breadth of populations behavior analysts serve, and Is the premier publication outlet that fosters increased dialogue between scientists and scientist-practitioners. Articles addressing the following topics are encouraged: language acquisition, verbal operants, relational frames, naming, rule-governed behavior, epistemology, language assessment and training, bilingualism, verbal behavior of nonhumans, research methodology, or any other topic that addresses the analysis of language from a behavior analytic perspective.