Background: The current study investigated the efficacy of a novel virtual reality-cognitive rehabilitation (VR-CR) intervention to improve contextual processing of objects in children with autism. Contextual processing is a cognitive ability thought to underlie the social and communication deficits of autism. Previous research supports that children with autism show deficits in contextual processing, as well as deficits in its basic component abilities: abstraction and cognitive flexibility. Methods: Four children with autism participated in a multiple baseline single-subject study. The children were taught how to see objects in context by reinforcing attention to pivotal contextual information. One-on-one teaching sessions occurred three times per week for approximately two weeks. Results: All children demonstrated significant improvements in contextual processing and cognitive flexibility. Mixed results were found on the control test. Changes in context-related behaviours were reported. Conclusions: Further studies using virtual reality to target specific cognitive impairments in children with autism are warranted.

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Multilevel modeling represents a potentially viable method for meta-analyzing single-subject research, but questions remain concerning its methodological properties with regard to characteristics of single-subject data. For this dissertation, Monte Carlo methods were used to investigate the properties of a 3 level model (i.e., with a quadratic equation at level 1), and three different level 1 error specifications (i.e., different variance components and covariances of 0, lag-1 autoregressive covariance structures, and separate error terms for each phase, with different variance components and covariances of 0). Data for simulated subjects were generated to have characteristics typical of published single-subject data (e.g., typical variances and magnitudes of effect). Samples were simulated for conditions which varied in number of data points per phase, number of subjects per study, number of studies meta-analyzed, level of autocorrelation in residuals, and continuity of variance across phases. Outcome variables examined included rates of convergence of analyses, power for statistical tests of fixed effects, and relative parameter bias of estimates of fixed effects, random effects’ variance components, and autocorrelation estimates. Convergence rates were found to be 100% for all level 1 error specifications and data conditions. Power for statistical tests of fixed effects was observed to be adequate when 10 or more data points were generated per phase and 60 or more total subjects were included in meta-analyses. The relative biases of estimates of fixed effects were found to have limited associations with numbers of data points per phase, levels of autocorrelation, and the continuity/discontinuity of variance across phases. Random effects’ variance components were observed to be frequently biased. Associations between relative bias and data conditions were found to vary by random effect. Finally, autocorrelation estimates were found to be biased in all conditions for which autocorrelation was generated. Results are discussed with regard to study strengths and limitations, and their implications for the meta-analysis of single subject data and primary single subject research. / text

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.

According to the National Center for Education Statistics (2007), 27% of the nation’s 8th grade population scored below the basic reading level in 2006-2007. Reading fluency strategies are a viable practice for improving reading achievement yet seldom are they incorporated into the 8th grade curriculum. To be effective, passages used in reading fluency strategies should be at the students’ instructional reading level (Daly, Persampieri, et al., 2005; Welsch, 2007). However, if increased oral reading fluency gained at the instructional reading level fails to generalize to content-area text that a student is required to read, the gain is not clinically significant, as it does not allow the student access to required reading. Stahl and Heubach (2006) recommended providing instruction in more difficult material while providing a strong degree of support. In this study, four middle school students reading one to two years below grade level received strong support for increasing reading fluency while using their social studies textbook. The intervention package consisted of listening passage preview, repeated reading, phrase-drill error correction, and performance feedback with student charting. Two research questions guided this study: (a) What are the effects of a comprehensive treatment package consisting of commonly utilized strategies for improving oral reading fluency on middle school students’ oral reading fluency using their required grade-level social studies textbooks? and (b) to what extent does performance generalize to required literature textbook passages and passages from CRCT Coach in Science (2002) and CRCT Coach in Social Studies (2002)? A multiple probe across participants design was used to answer these questions. Visual analysis of graphically displayed single-case data revealed that the multicomponent reading intervention positively affected student performance on intervention and generalization passages. The results of this study are promising, and given that reading content-area text is the core of education in middle school, further research is necessary.

Attention-Deficit/Hyperactivity Disorder (ADHD) is a persistent pattern of behaviours characterized by inattention, hyperactivity and impulsivity. This study evaluates the effects of a tailored Incredible Years Teacher Classroom Management (IYTCM) programme aimed to improve participating children’s on-task behaviour and literacy performance, as well as reducing ADHD symptoms in a group of 6 to 10 year old children with ADHD in Addis Ababa, Ethiopia. Nine children, who were identified with ADHD symptoms on the basis of teacher and parental reports, were involved in the IYTCM-ADHD programme. The children’s behaviour symptoms were assessed using the Conners 3-T, Conners 3-P(S), SESBI-I, ECBI and SDQ. Ten teachers received the IYTCM-ADHD training in a full-day session once a week for 6 weeks. The children received individual behaviour plans implemented by their teachers with close supervision. A single-subject design was implemented to record the behaviour changes over time: at baseline, during teacher training with the IYTCM-ADHD programme, and at both immediate and long-term follow-ups. The on-task behaviour of children with ADHD and normative comparison children was recorded using Behavioural Observation of Students in Schools (BOSS). In addition to visual analysis, a non-parametric test Percentage of All Non-Overlapping Data (PAND) was used to examine the magnitude of effect in each child. The result of the study indicated that on-task behaviour of all the children with ADHD improved an average of 78% during the teacher training and this maintained during the follow-up phases. The children’s on-task behaviour also generalised to classrooms with non-trained teachers. Visual analysis indicated that the children’s behaviour was maintained during the follow-up phases. The pre- and post-intervention analyses of children with ADHD showed a significant effect of the intervention as a group. Clinical significance was obtained for more than half of the children on teacher reports of ADHD symptoms and conduct problems after the intervention. The literacy performance of all children with ADHD improved at the conclusion of the study. In light of the findings, limitations and implications for future research were discussed.

Boèce prétend avoir apporté une solution définitive aux deux grandes apories du corpus logique aristotélicien, l'aporie de l'universel et l'aporie des futurs contingents. Nous montrons qu'Abélard, à travers sa critique des reales, met en question ces deux solutions et leur substitue deux distinctions voulues comme aporétiques - entre res et status d'un côté et entre res et dictum propositionis de l'autre - qui naissent de la reconnaissance par Abélard du caractère fictif des solutions boéciennes aux grandes apories du corpus logique aristotélicien. Ces deux distinctions organisent une réflexion philosophique profondément novatrice que nous nous efforçons de décrire. / Boethius claims to have definitively solved the two great aporias of the corpus of Aristotelian Iogic, the universal aporia and the aporia of contingent futures. l demonstrate that Abelard,Through his critique of reales calls into question these two solutions and substitutes two distinctions that he wanted to he aporetique - between res and status on the one band andand dictum propositionis on the other hand - born of Abelard's recognition of the fictional character of the two Boetian solutions to the great aporias of the Aristotelician logical corpus. The two. distinctions pave the way for a profoundly new kind of philosophical reasoning,which this text mtends to describe.

Precision medicine provides targeted treatment for an individual patient based on disease mechanisms, promoting health care. Matched transcriptomes derived from a single subject enable uncovering patient-specific dynamic changes associated with disease status. Yet, conventional statistical methodologies remain largely unavailable for single-subject transcriptome analysis due to the "single-observation" challenge. We hypothesize that, with statistical learning approaches and large-scale inferences, one can learn useful information from single-subject transcriptome data by identifying differentially expressed genes (DEG) / pathways (DEP) between two transcriptomes of an individual. This dissertation is an ensemble of my research work in single-subject transcriptome analytics, including three projects with varying focuses. The first project describes a two-step approach to identify DEPs by employing a parametric Gaussian mixture model followed by Fisher's exact tests. The second project relaxes the parametric assumption and develops a nonparametric algorithm based on k-means, which is more flexible and robust. The third project proposes a novel variance stabilizing framework to transform raw gene counts before identifying DEGs, and the transformation strategically by-passes the challenge of variance estimation in single-subject transcriptome analysis. In this dissertation, I present the main statistical methods and computational algorithms for all the three projects, as well as their real-data applications to personalized treatments.

A growing disparity between the mental health needs of children and their lack of treatment served as the basis of this study. To address this existent gap, I proposed that child-centered play therapy (CCPT), a holistic treatment that fosters children's emotional, developmental, and social growth would serve as a viable treatment. The purpose of this study was to examine the effect of CCPT on problem behaviors among children identified with an intellectual disability. Specifically, a single case, A-B-A design (N = 2) was used to examine changes in participant's problem behaviors as measured on the Aberrant Behavior Checklist (ABC) across conditions. Trained raters used the ABC to rate participant's problem behaviors 3 times per week during the course of this study. Participants completed 2 weeks of a no-intervention phase, 5 weeks of play therapy 3 times per week, and 2 weeks of a no-intervention maintenance phase. Additionally, participants were administered the Gesell Developmental Observation to assess their maturational age during the baseline and maintenance phases. Parents also completed the ABC during two intervals: baseline phase, and maintenance phase. Analysis of results indicated that problem behaviors decreased for both participants. Results from the percent of non-overlapping data (PND), an indice for effect size further revealed that play therapy was a very effective treatment for participants. Follow-up interviews suggested that play therapy is a viable intervention for children with intellectual disabilities and problem behaviors. Clinical observations and implications for future research are presented.

Although behavior analysts have studied the effects of motivation on preference assessments, consumer behaviorist have not. The purpose of this study was to analyze the effect of the temporary removal of a choice on the order and frequency of purchases after the candy returned. Seventy percent of the time the participant purchased the removed candy first and 60% of the time the participant purchased more than in the baseline.