The focus of this study was to explore the impact of challenging behaviors on Applied Behaviors Analysis treatment in Autism Spectrum Disorder. The prevalence of ASD is on the rise, so it is important that we understand how patients are responding to treatment. In this study, we cluster patients (N=854) based on their eight observed challenging behaviors using k-means, a machine learning algorithm, and then perform a multiple linear regression analysis to find significant differences between average exemplars mastered. The goal of this study was to expand the research in the area of ABA treatment for ASD and to help provide more insight helpful for creating personalized therapeutic interventions with maximum efficacy, minimum time and minimum cost for individuals.

No description available.

The purpose of this study was to investigate how levels of stress among caregivers beginning a behavioral parent training program are related to caregiver and child variables. Research questions were answered using archival data collected from 474 caregivers who participated in HOT DOCS, a behavioral parent training program, between January 2009 through July 2010. The three objectives of the study were to (a) examine caregivers' perceived stress in relation to caregiver demographic variables (i.e., gender, marital status, level of education); (b) examine caregivers' perceived stress in relation to child demographic variables (i.e., levels of externalizing and internalizing behavior and presence or absence of a diagnosis); and (c) determine how levels of caregiver stress were related to number of parent training sessions completed. Results showed that female caregivers beginning a behavioral parent training program have higher levels of perceived stress than their male counterparts. Additionally, caregivers with a higher level of education reported less stress than caregivers with less education. No differences were found among those of different marital statuses. With regard to child variables, parents' perceptions of their child's externalizing behavior, as measured by the Child Behavior Checklist (CBCL) Externalizing score, were a significant predictor of caregiver perceived stress, but internalizing behavior (also as measured by the CBCL) and presence/absence of a diagnosis were not. Perceived stress upon entering the behavioral parent training was not a significant predictor of number of sessions completed. Implications of the study for parent training for caregivers raising young children with challenging behaviors are discussed.

The evidence clearly indicates that, not only is the learning process affected by many factors including students’ mental health and social-emotional learning (SEL), but also zero tolerance methods of managing students’ problem behaviors are largely ineffective. This dissertation introduces a suggested model for supporting educators’ efforts in the implementation and sustainability of SEL programs using a response-to-intervention (RTI) model for educators. Additionally, the current study examined the effects of conjoint behavioral consultation (CBC) on (a) the role of teachers’ classroom practices, (b) the home-school partnership, and (c) the relationship these two factors have on young children’s challenging behaviors. Participants in this study were four triads, each consisting of one pre-k teacher, one preschool student with challenging behaviors, and one set of preschool students’ parents from a suburban county in the southeast. Three dependent variables were measured in this study: (1) teachers’ target behaviors were measured using direct observation; (2) students’ target behaviors were measured using direct observation (i.e., daily by teachers and parents) and ratings on the Social Skills Improvement System Rating Scale (SSIS-RS; Elliott & Gresham, 2008); and (3) the impact of the intervention on the home-school relationship was measured both pre- and post-intervention using the Parent-Teacher Relationship Scale - II (PTRS-II; Vickers & Minke, 1995). The independent variable was a multi-component intervention package that incorporated the four stages of CBC (Sheridan & Kratochwill, 2010) with a social skills intervention plan. A relationship was established between the intervention and teachers’ use of select positive behavior support (PBS) strategies. Furthermore, results indicated that the intervention package was effective in improving all students’ challenging behaviors in the school setting and for three of the four students challenging behaviors in the home setting. Finally, results from the PTRS-II indicated that parents and teachers’ perceptions of the home-school relationship actually declined. However, this outcome was unexpected because the anecdotal reactions from the participants throughout this study were very positive. Ratings on the social validity of the intervention as measured by the Treatment Evaluation Inventory – Short Form (TEI-SF; Kelley, Heffer, Gresham, & Elliott, 1989) were high.

With the high prevalence of mental health disorders among children, there is a growing need for effective mental health interventions that will enhance overall wellness and functioning while meeting the developmental needs of children (Stagman & Cooper, 2010). In addition, there are increasing demands from policymakers, managed-care organizations, and educators to implement evidence-based interventions (EBIs), or treatments that are supported by strong research (Kratochwill & Shernoff, 2004). One treatment that shows promise as an effective, developmentally-appropriate intervention that meets the mental health needs of children is play therapy (Bratton, Ray, Rhine, & Jones, 2005; Landreth, 2002; Ray, 2011). Although results of play therapy studies have shown some significance in improving a variety of issues for children, the body of research has been criticized, primarily due to inconsistent or inconclusive results across studies or compromised research designs and methods (Phillips, 1985; 2010; Read, Hunter, & McMillan, 1999). In addition, the field also lacks differentiation among various theoretical play therapy approaches across the research base (Phillips, 2010). To address these gaps in the literature, this study utilized a strong research design to examine the effectiveness of child-centered play therapy (CCPT) on the challenging behaviors of three kindergarten students. A single-case multiple baseline design was used to maintain a high level of control with rigorous data collection methods (Kennedy, 2005; Ray and Schottelkorb, 2010). Research methods were designed to meet the What Works Clearinghouse pilot standards for single-case designs, which use stringent criteria in evaluating quality of research (U.S. Department of Education, 2014). The integrity of the CCPT intervention was assessed to ensure accurate implementation. Results from direct observational data suggested a relationship between CCPT and the improvement of classroom behaviors. In contrast to direct observational data, teacher ratings did not indicate improvements in behavior. Ratings by parents yielded significant results for improving behaviors at home. This study made valuable contributions to the literature by utilizing a strong research design and demonstrating promising findings for CCPT. Practical implications include using as few as eight sessions of CCPT as a behavioral intervention at school and engaging in ongoing teacher consultation to supplement CCPT.

No description available.

Schools are facing challenges in their efforts to educate children appropriately and safely. Students who demonstrate inappropriate, anti-social, and/or disruptive behaviors are becoming more prevalent. School personnel are dealing with disruptive behaviors that occur more frequently and that affect staff and student safety. Additionally, the lack of discipline or management of disruptive behaviors has been identified by the public as the most persistent and possibly the most troublesome issue facing schools ( Cotton, 2001; Elam, Rose, & Gallop, 1998; Fitzsimmons, 1998; Killion, 1998). An assumption in managing problem behaviors in many urban schools is that punishment will change behavior. According to Skiba and Peterson (2000), severe and penalizing disciplinary policies frequently produce a negative school environment rather than improving student behavior. In general, urban schools across the nation rely on suspensions, loss of privileges, reprimands, and or expulsion as means of discipline. Unfortunately, these reactive consequences only help a small number of children learn to "comply with general expectations" and are insufficient for many students who exhibit more challenging behavior problems. This study examines the disciplinary practices being used in two urban middle schools to control disruptive behavior of students. It will reveal what aspects of certain disciplinary practices are viewed as helpful as well as areas needing improvement. It will also give insight into whether selected urban school principals and other stakeholders are using proactive strategies and techniques demonstrated in the research literature as being the most effective in terms of changing inappropriate behavior. Undertaking this study through the application of qualitative research methods of inquiry as a study using interviews, examining relevant documents, and observations will allow me an opportunity to explore my personal reactions to the defined disciplinary practices in the identified schools. / Ed. D.

Self-injurious behaviors (SIBs) are relatively common in children with autism spectrum disorders (ASD), and many teachers have difficulties dealing with these challenging behaviors. Besides the possibility of causing serious injuries to children with ASD, the frequent occurrences of SIBs can limit their access to academic instruction and peer interactions. The abundance of possible strategies is confusing for teachers to figure out which strategies to use and how to implement them. The purpose of this project was to develop a guiding manual for educators working with children with ASD. The manual presents proactive, evidence-based strategies to help prevent or decrease students’ SIBs in the classroom.

The understanding and treatment of challenging behaviors in individuals with Autism Spectrum Disorder is paramount to enabling the success of behavioral therapy; an essential step in this process being the labeling of challenging behaviors demonstrated in therapy sessions. These manifestations differ across individuals and within individuals over time and thus, the appropriate classification of a challenging behavior when considering purely qualitative factors can be unclear. In this thesis we seek to add quantitative depth to this otherwise qualitative task of challenging behavior classification. We do so through the application of natural language processing techniques to behavioral descriptions extracted from the CARD Skills dataset. Specifically, we construct 3 sets of 50-dimensional document embeddings to represent the 1,917 recorded instances of challenging behaviors demonstrated in Applied Behavior Analysis therapy. These embeddings are learned through three processes: a TF-IDF weighted sum of Word2Vec embeddings, Doc2Vec embeddings which use hierarchical softmax as an output layer, and Doc2Vec which optimizes the original Doc2Vec architecture through Negative Sampling. Once created, these embeddings are initially used as input to a Support Vector Machine classifier to demonstrate the success of binary classification within this problem set. This preliminary exploration achieves promising classification accuracies ranging from 78.2-100% and establishes the separability of challenging behaviors given their neural embeddings. We next construct a multi-class classification model via a Gaussian Process Classifier fitted with Laplace approximation. This classification model, trained on an 80/20 stratified split of the seven most frequently occurring behaviors in the dataset, produces an accuracy of 82.7%. Through this exploration we demonstrate that the semantic queues derived from the language of challenging behavior descriptions, modeled using natural language processing techniques, can be successfully leveraged in classification architectures. This study represents the first of its kind, providing a proof of concept for the application of machine learning to the observations of challenging behaviors demonstrated in ASD with the ultimate goal of improving the efficacy of the behavioral treatments which intrinsically rely on the accurate identification of these behaviors.

Overcoming social skill deficits in children with autism is a challenge faced by educators and caregivers. Video modeling is a method of training that can promote generalization. This study extends the literature by investigating effects of video modeling on repetitive motor and vocal responses and skill generalization to other settings for children with low-functioning autism/ developmental disabilities. A multiple baseline across 3 play sequences was implemented with 3 males. Results indicate that 2 acquired vocal and motor responses and 1 acquired imitative noises and motor responses using video modeling alone. Generalization occurred with 2 participants. These findings have important implications for the field showing that video modeling can enable educators and caregivers to help children with autism overcome social skill deficits.