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A skill-by-treatment interaction (STI) isolates skill deficits and manipulates conditions to match them to student needs. Based on the learning hierarchy, preintervention scores can help predict which intervention will be most successful for an individual student. This study compared the efficacy of a modeling and practice-based decoding intervention for 29 kindergarten and first-grade students. Results suggested that grade was not a significant predictor of which intervention was more effective, but preintervention accuracy in nonsense word fluency was a significant predictor of the more effective intervention, accounted for 68% of the variance, and correctly identified the more effective intervention 88% of the time.

The purpose of this study was to evaluate the reliability, validity, and accuracy of scores from the Intervention Selection Profile-Function (ISP-Function): a brief functional assessment tool founded upon Direct Behavior Rating (DBR) methodology. Participants included 34 teacher-student dyads. Using the ISP-Function, teachers rated the extent to which students exhibited disruptive behavior, as well as the frequency with which disruptions were met with four consequences. Ratings were completed across three 10-min sessions, during which a research assistant also collected systematic direct observation (SDO) data regarding the same behavior and consequences. Results indicated adequate temporal reliability (≥.70) was attained for the adult attention and peer attention targets across the three ratings; in contrast, up to 8-18 data points would be needed to achieve adequate reliability across the remaining targets. Findings further suggested that while ISP-Function ratings of disruptive behavior, adult attention, and peer attention were moderately to highly correlated with SDO data, correlations were in the low range for the access to items/activities and escape/avoidance targets. Finally, analysis of difference scores showed that on average, mean ISP-Function scores fell within only 0.33 to 1.81 points of mean SDO scores (on the 0-10 DBR scale). Agreement coefficients indicative of exact score agreement were less consistent, suggesting accuracy ranged from poor to substantial. Results are promising, but future research is necessary to support applied ISP-Function use. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The purposes of this study were twofold. The first was to use latent class analysis to identify groupings of students defined by the presence or absence of academic or behavioral risk. The second was to determine whether these groups differed across various dichotomous academic and behavioral outcomes (e.g., suspensions, office discipline referrals, statewide achievement test failure). Students (N = 1,488) were sampled from Grades 3-5. All students were screened for academic risk using AIMSweb Reading Curriculum-Based Measure and AIMSweb Mathematics Computation, and behavioral risk using the Social, Academic, and Emotional Behavior Risk Screener (SAEBRS). Latent class analyses supported the fit of a three-class model, with resulting student classes defined as low-risk academic and behavior (Class 1), at-risk academic and high-risk behavior (Class 2), and at-risk math and behavior (Class 3). Logistic regression analyses indicated the classes demonstrated statistically significant differences statewide achievement scores, as well as suspensions. Further analysis indicated that the odds of all considered negative outcomes were higher for both groups characterized by risk (i.e., Classes 2 and 3). Negative outcomes were particularly likely for Class 2, with the odds of negative behavioral and academic outcomes being 6-15 and 112-169 times more likely, respectively. Results were taken to support an integrated approach to universal screening in schools, defined by the evaluation of both academic and behavioral risk. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Systematic literature reviews have supported the effectiveness of behavioral Tier 2 interventions, with research being particularly plentiful in relation to Check-In/Check-Out (CICO) and social skills training (SST). Though findings indicate either approach is effective in isolation, a recent study suggested these approaches might be particularly effective when integrated. The purpose of the current study was to build upon this initial single-case design study with a larger sample within a randomized controlled trial. Participants included 91 elementary students who had been identified as being at risk of social-emotional and behavioral difficulties. Students were randomized into three intervention conditions: CICO only, SST only, and CICO + SST. Prior to intervention, information was collected regarding the function of student problem behavior and the extent of social skill deficits. Systematic direct observation data were then completed at pre- and post-test regarding student positive and negative social engagement. Multivariate general linear models were then conducted, with pre-test scores serving as covariates and intervention group and behavioral function serving as fixed factors. Results indicated that implementation of CICO, SST, and a combined CICO + SST was functionally related to a reduction in negative social engagement. Follow-up post hoc tests indicated that after adjusting for pre-test responding, the difference between conditions in effectiveness was moderated by behavioral function. Specifically, SST was less effective for students whose behavior functioned to escape social and academic situations. No such differences were noted between students whose behavior functioned to attain adult or peer attention. Implications for practice, methodological limitations, and directions for future research are reviewed.

This research examined the risk and protective factors of responders and nonresponders to a schoolwide implementation of positive behavioral interventions and supports (SW-PBIS) within an alternati...

Students with dyslexia demonstrate reading difficulty in early literacy skills (e.g., phonemic awareness, word recognition, decoding), and administering screeners is a necessary step to implement effective intervention. There are several commonly used reading screeners, but the decision accuracy and predictive value between them varies. In the current study, scores on two different reading screeners, the Shaywitz DyslexiaScreen (SDS) and Dynamic Indicators of Basic Early Literacy Skills Next (DIBELS Next) were compared for 115 K-3 students with specific reading deficits using the Phonological Awareness Composite of the Comprehensive Test of Phonological Processing as the criterion. Tests of sensitivity, specificity, and post-test probabilities were used to evaluate the decision accuracy of the data. Results suggested that the decision accuracy for DIBELS Next (78%) was better than SDS (45%), and both sensitivity (DIBELS Next = 90%, SDS = 35%) and positive post-test probability (DIBELS Next = 71%, SDS = 42%) favored DIBELS Next. Thus, the DIBELS Next measures demonstrated acceptable decision accuracy in identifying students with low phonological awareness, but the SDS did not.

The purpose of this study was to support the development and initial validation of the Intervention Selection Profile (ISP)–Skills, a brief 14-item teacher rating scale intended to inform the selection and delivery of instructional interventions at Tier 2. Teacher participants (n = 196) rated five students from their classroom across four measures (total student n = 877). These measures included the ISP-Skills and three criterion tools: Social Skills Improvement System (SSIS), Devereux Student Strengths Assessment (DESSA), and Academic Competence Evaluation Scales (ACES). Diagnostic classification modeling (DCM) suggested an expert-created Q-matrix, which specified relations between ISP-Skills items and hypothesized latent attributes, provided good fit to item data. DCM also indicated ISP-Skills items functioned as intended, with the magnitude of item ratings corresponding to the model-implied probability of attribute mastery. DCM was then used to generate skill profiles for each student, which included scores representing the probability of students mastering each of eight skills. Correlational analyses revealed large convergent relations between ISP-Skills probability scores and theoretically-aligned subscales from the criterion measures. Discriminant validity was not supported, as ISP-Skills scores were also highly related to all other criterion subscales. Receiver operating characteristic (ROC) curve analyses informed the selection of cut scores from each ISP-Skills scale. Review of classification accuracy statistics associated with these cut scores (e.g., sensitivity and specificity) suggested they reliably differentiated students with below average, average, and above average skills. Implications for practice and directions for future research are discussed, including those related to the examination of ISP-Skills treatment utility.