Interventionist Acquisition of Incidental Teaching Using Pyramidal Training via Telehealth.

We investigated the effects of a telehealth pyramidal training package on participants' implementation of incidental teaching. A total of eight adults worked with eight children with autism. Coaches were first taught to implement incidental teaching and then taught subsequent interventionists. The training package consisted of an online module and delayed video-based feedback provided via videoconferencing. Following the telehealth training program, coaches and interventionists reached the preset performance criteria and implemented incidental teaching with high fidelity. All of the child participants increased mands above baseline levels. Results suggest that interventionists can be trained via telehealth in behavior analytic interventions.

A Systematic Review of Parent-Implemented Functional Communication Training for Children With ASD.

Supporting parents in reducing challenging behavior of children with autism spectrum disorder (ASD) requires the identification of effective, feasible, and sustainable interventions. Functional communication training (FCT) is one of the most well-established interventions in the behavioral literature and is used increasingly by parents. However, there is a need for additional evaluation of the literature related to parent-implemented FCT. In the present review, we identified 26 peer-reviewed studies on parent-implemented FCT. We conducted systematic descriptive and social validity analyses to summarize the extant literature. Across studies, parent-implemented FCT was effective in reducing child challenging behavior, and in some cases, intervention outcomes maintained and generalized to novel settings and implementers. However, few studies reported fidelity data on parent implementation of FCT, and data regarding sustained use of FCT by parents were limited. Results of the social validity analysis indicate that while FCT is often implemented by natural change agents in typical settings, parent training is often provided by professionals not typically accessible to parents. These findings suggest that future research is warranted in the areas of parent training and long-term sustainability of parent-implemented FCT.

Predictive Validity of Curriculum-Embedded Measures on Outcomes of Kindergarteners Identified as At Risk for Reading Difficulty.

This study examined the predictive validity of formative assessments embedded in a Tier 2 intervention curriculum for kindergarten students identified as at risk for reading difficulty. We examined when (i.e., months during the school year) measures could predict reading outcomes gathered at the end of kindergarten and whether the predictive validity of measures changed across the kindergarten year. Participants consisted of 137 kindergarten students whose reading development was assessed four times from October to February. Measures aligned with content taught in the curriculum and assessed a range of phonologic, alphabetic, and word-reading skills. Results from structural equation modeling indicate that 36.3% to 65.2% of the variance was explained on the latent decoding outcome and 62.0% to 86.8% on the latent phonological outcome across the four time points. Furthermore, the predictive validity of specific skills increased over the kindergarten year, with more complicated tasks (e.g., word segmentation) becoming more predictive at subsequent measurement occasions. Results suggest that curriculum-embedded measures may be viable tools for assessing and predicting reading performance.

Identifying academic demands that occasion problem behaviors for students with behavioral disorders: illustrations at the elementary school level.

In two independent experiments, we (a) examined aspects of academic demands associated with the problem behaviors of two elementary students with behavioral disorders and (b) investigated the effects of academic interventions to decrease problem behaviors and increase task engagement. Preliminary functional behavior assessment data suggested each student participant's problem behaviors functioned to escape/avoid academic demands, and experimental structural analyses performed in naturalistic settings confirmed relations between their problem behaviors and specific features of academic tasks. Antecedent-based interventions were developed for each student and separate single-case alternating treatment experiments indicated functional relations between the academic interventions and appropriate task engagement. Findings support the use of structural analyses to inform academic planning and improve the behaviors of students who exhibit escape-maintained problem behaviors associated with academic tasks.

Examining the effects of linking student performance and progression in a tier 2 kindergarten reading intervention.

Despite the emerging evidence base on response to intervention, there is limited research regarding how to effectively use progress-monitoring data to adjust instruction for students in Tier 2 intervention. In this study, we analyzed extant data from a series of randomized experimental studies of a kindergarten supplemental reading intervention to determine whether linking performance on formative assessments to curriculum progression improved kindergarten reading outcomes over standard implementation. We were interested in whether specific progression adjustments would enhance the effects of supplemental reading intervention. Growth-mixture modeling using data from kindergarteners (n = 136) whose intervention progression (e.g. repeat lessons, skip lessons) was adjusted every 4 weeks based on mastery data identified four latent classes characterized by unique profiles of curriculum progression adjustments. Multilevel analyses comparing the performance of students in the four classes with that of propensity matched groups whose intervention was not adjusted (n = 101) indicated positive effects of curriculum progression for (a) students whose formative assessment performance exceeded 90% and received early and sustained lesson acceleration and (b) students who initially performed below 70% on assessments and who repeated early lessons and progressed to conventional implementation. Effects of curriculum adjustments for the two smallest groups were less clear.

The effects and interactions of student, teacher, and setting variables on reading outcomes for kindergartners receiving supplemental reading intervention.

This exploratory study examined the influences of student, teacher, and setting characteristics on kindergarteners' early reading outcomes and investigated whether those relations were moderated by type of intervention. Participants included 206 kindergarteners identified as at risk for reading difficulties and randomly assigned to one of two supplemental interventions: (a) an experimental explicit, systematic, code-based program or (b) their schools' typical kindergarten reading intervention. Results from separate multilevel structural equation models indicated that among student variables, entry-level alphabet knowledge was positively associated with phonemic and decoding outcomes in both conditions. Entry-level rapid automatized naming also positively influenced decoding outcomes in both conditions. However, its effect on phonemic outcomes was statistically significant only among children in the typical practice comparison condition. Regarding teacher variables, the quality of instruction was associated with significantly higher decoding outcomes in the typical reading intervention condition but had no statistically significant influence on phonemic outcomes in either condition. Among setting variables, instruction in smaller group sizes was associated with better phonemic outcomes in the comparison condition but had no statistically significant influence on outcomes of children in the intervention group. Mode of delivery (i.e., pullout vs. in class) had no statistically significant influence on either outcome variable.

Median-based overlap analysis for single case data: a second study.

This article takes a further look at the percentage of data points exceeding the median (PEM) analysis method for single-case research data, first presented in this journal by Hsen-Hsing Ma. Ma examined the relationship between PEM and the established percentage of nonoverlapping data (PND) and then applied PEM in a meta-analysis of 61 data sets, correlating their authors' judgments of intervention effectiveness with PEM. The present article covers PEM's historical and statistical context and then applies the new measure in a field test with 165 contrasts between a baseline phase A and a treatment phase B. For comparison, Pearson r , Kruskal-Wallis W, PND, and IRD (improvement rate difference) indices also are calculated and correlated with PEM, and all distributions are examined. Expert visual analysis ratings of the 165 graphs are correlated with all indices. PEM surpassed PND in its validation by other established measures. However, PEM was weaker in distribution shape and visual judgment validation. More strongly validated than either PEM or PND was the new nonparametric measure, IRD.

Useful effect size interpretations for single case research.

An obstacle to broader acceptability of effect sizes in single case research is their lack of intuitive and useful interpretations. Interpreting Cohen's d as "standard deviation units difference" and R2 as "percent of variance accounted for" do not resound with most visual analysts. In fact, the only comparative analysis widely supported in single case research (SCR) is "percent of nonoverlapping data." This article explores five alternative interpretations of Cohen's d and R2 effect sizes that may be more acceptable to the SCR field. They are: (a) Cohen's (Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum) "Percent of Nonoverlapping Data" (CPND), (b) Parker et al.'s (Parker, R.I., Cryer, J., Byrns, G., 2006. Controlling trend in single case research. School Psychology Quarterly, 21, 418-440, Parker, R.I., Hagan-Burke, S., Vannest, K., in press. Percent of all non-overlapping data (PAND): An alternative to PND. Journal of Special Education) "Percent of All Nonoverlapping Data" (PAND), (c) Rosenthal et al. (Rosenthal, R., Rosnow, R., & Rubin, D. (2000). Contrasts and effect sizes in behavioral research: A correlational approach. Cambridge: Cambridge University Press.) "Binomial Effect Size Display" (BESD), (d) "Percentile Rank in Control Group" (PR), and (e) McGraw and Wong's (McGraw, K. O., & Wong, S. P. (1992). A common language effect-size statistic. Psychological Bulletin, 111, 361-365) "Common Language Effect Size" (CLES). Each of the five interpretation schemes are applied to a published data set and are evaluated according to (a) intuitive appeal, (b) relevance to visual analysis, (c) ease of calculation, and (d) technical adequacy. Three of the five appear to be improvements over prevailing practice.