Individuals who are self-regulated in their learning appear to achieve more positive academic outcomes than individuals who do not exhibit self-regulated learning behaviors. We suggest that distinct profiles of self-regulated learning behaviors exist across learners. In turn, these profiles appear to be associated with significantly different academic outcomes. The purpose of the current study was to examine whether profiles for self-regulated learning skills and strategies exist among learners. To achieve this purpose, we conducted two studies using two different samples. We administered the Online Self-Regulated Learning Questionnaire (OLSQ), a 24-item scale with a 5-point Likert-type response format, to students enrolled in online degree programs at a large, public university located in the Southwestern United States. The OSLQ consists of six subscale constructs, including environment structuring, goal setting, time management, help seeking, task strategies, and self-evaluation. Latent class analyses were performed with participant subscale scores from the OSLQ.Our results indicate the presence of five, distinct profiles of self-regulated learning replicated across both study samples: super self-regulators, competent self-regulators, forethought-endorsing self-regulators, performance/reflection self-regulators, and non-or minimal self-regulators. Results also indicate that individuals differ significantly in their academic achievement according to their profile membership; for example, minimal and disorganized profiles of self-regulated learning are both associated with similar, poorer academic outcomes (e.g., lower GPAs). These profiles in self-regulated learning may be viewed as contributing to the development of theory by elucidating how exactly individuals are and are not self-regulated in their learning. The authors suggest future research directions.

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A meta-analysis of noncontingent reinforcement (NCR) outcomes was conducted using hierarchical linear modeling (a) to document the effect size for decreasing problem behavior, (b) to compare effect sizes for NCR using functional reinforcers and nonfunctional reinforcers, and (c) to document the influence of schedule thinning on effect size. Analyses were conducted with data from 55 studies and 91 participants. Results indicate that NCR was associated with a very strong effect size (d =-1.58) for reduction of problem behavior, functional reinforcers were slightly more effective than nonfunctional reinforcers, and schedule thinning resulted in minor degradation of effect size. Meta-analysis of single-case design data provides a method to quantitatively estimate effect sizes of interventions across participants. Therefore, it allows one to identify important variables that are not otherwise evident in single-case data, helps to disseminate findings to the broader scientific community, and contributes to the documentation of empirically supported interventions.

Data from the National Longitudinal Transition Study-2 ( SRI International, 2002 ) were analyzed to identify variables that predicted whether individuals with intellectual disability (ID) received sex education in public schools across the United States. Results suggested that individuals receiving special education services without ID were only slightly more likely to receive sex education than students with mild ID (47.5% and 44.1%, respectively), but the percentage of students with moderate to profound ID that received sex education was significantly lower (16.18%). Analysis of teacher opinions and perceptions of the likelihood of the students benefiting from sex education found that most teachers indicated that students without ID or with mild ID would benefit (60% and 68%, respectively), but the percentage dropped to 25% for students with moderate to profound ID. Finally, across all students, the only significant demographic variable that predicted receipt of sex education was more expressive communication skills. Results are discussed in terms of ensuring equal access to sex education for students with ID in public schools.

High levels of impulsivity and stereotypy were significant predictors of SIB in a large and diverse sample of people with confirmed autism diagnoses. Future research is needed on the effects of reducing impulsivity and stereotypy on the outcomes of treatment, early intervention and attempts to prevent the development of SIB.

Students with autism spectrum disorder (ASD) are increasingly educated alongside typically developing peers in regular education environments. These students have impairments that may hinder their success in inclusive school settings and require individualized supports to improve outcomes. The purpose of this meta-analysis and best-evidence synthesis is to examine the characteristics of interventions for students with ASD in inclusive settings, offer quantitative analysis of intervention effects, examine potential moderating variables that influence outcomes, analyze the social validity of these interventions, and provide recommendations for practice and future research. The 28 included studies met the What Works Clearinghouse standards for group design and single-case design research. Studies focused mostly on social communication skills, produced moderate to large effects, and were generally found to be socially valid. Function-based interventions, visual supports, self-monitoring strategies, and peer-mediated interventions resulted in mostly large effects, and teacher delivered interventions produced the largest overall effects. More high-quality studies for students with ASD in inclusive school settings are needed to advance evidence-based practice for this population.

The current meta-analysis examines the previous research on the utility of the Social Communication Questionnaire as a screening instrument for autism spectrum disorder. Previously published reports have highlighted the inconsistencies between Social Communication Questionnaire-screening results and formal autism spectrum disorder diagnoses. The variations in accuracy resulted in some researchers questioning the validity of the Social Communication Questionnaire. This study systematically examined the accuracy of the Social Communication Questionnaire as a function of the methodological decisions made by researchers screening for autism spectrum disorder over the last 15 years. Findings from this study suggest that the Social Communication Questionnaire is an acceptable screening instrument for autism spectrum disorder (area under the curve = 0.885). Variations in methodological decisions, however, greatly influenced the accuracy of the Social Communication Questionnaire in screening for autism spectrum disorder. Of these methodological variations, using the Current instead of the Lifetime version of the Social Communication Questionnaire resulted in the largest detrimental effect ( d = -3.898), followed by using the Social Communication Questionnaire with individuals younger than 4 years of age ( d = -2.924) and relying upon convenience samples ( d = -4.828 for clinical samples, -2.734 for convenience samples, and -1.422 for community samples). Directions for future research and implications for using the Social Communication Questionnaire to screen for autism spectrum disorder are discussed.