Research based on single-case designs (SCD) are frequently utilized in educational settings to evaluate the effect of an intervention on student behavior. Visual analysis is the primary method of evaluation of SCD, despite research noting concerns regarding reliability of the procedure. Recent research suggests that characteristics of the graphic display may contribute to poor reliability and overestimation of intervention effects. This study investigated the effect of increasing or decreasing the data points per x- to y-axis ratio (DPPXYR) on rater evaluations of functional relation and effect size in SCD data sets. Twenty-nine individuals (58.6% male) with experience in SCD were asked to evaluate 40 multiple baseline data sets. Two data sets reporting null, small, moderate, and large intervention effects (8 total) were modified by manipulating the ratio of the x- to y-axis (5 variations), resulting in 40 total graphs. Results indicate that raters scored effects as larger as the DPPXYR decreased. Additionally, a 2-way within-subjects analysis of variance (ANOVA) revealed a significant main effect of DPPXYR manipulation on effect size rating, F(2.11, 58.98) = 58.05, p < .001, η2 = .675, and an interaction between DPPXYR manipulation and magnitude of effect, F(6.71, 187.78) = 11.45, p < .001, η2 = .29. Overall, results of the study indicate researchers and practitioners should maintain a DPPXYR of .14 or larger in the interest of more conservative effect size judgments. (PsycINFO Database Record

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Considered the opposite of tattling, Tootling is a positive peer‐reporting procedure in which students report their classmates’ positive prosocial behavior instead of inappropriate behavior and employs other well‐established behavior analytic principles. This study examined the effects of Tootling on students’ behavior in three general‐education high school classrooms. Students wrote and then submitted tootles into a marked container. Teachers recorded the number of tootles on publicly posted progress charts, and read a sample of tootles at the end of the class period. An interdependent group contingency procedure was used along with a class goal of the number of tootles needed to earn the class a reward. An A‐B‐A‐B withdrawal design with follow‐up found decreases in classwide disruptive behavior and increases in academically engaged behavior across classrooms. Results suggest that Tootling can provide high school teachers a method for positively reinforcing students’ prosocial behavior, and function as a preventative measure against disruptive behavior. Issues related to social validity and directions for future research are discussed.

The current study was designed to replicate and extend the literature on the effectiveness of a classroom intervention known as Tootling, a strategy that encourages and prompts students to report instances of their peers' positive behaviors. The purpose of the present study was to assess the effects of the Tootling intervention on decreasing classwide and individual target students' disruptive behavior as well as increasing classwide and individual target students' academic engagement in lower elementary, general education classrooms using a criterion number of tootles that could reasonably be attained daily, thus potentially allowing more immediate and frequent access to reinforcement. Participants included second and third graders and their teachers in three classrooms in two Southeastern elementary schools. An ABAB withdrawal design was used in the three classrooms, along with a multiple baseline element across two of the classrooms, to determine the effectiveness of the intervention. Results demonstrated decreases in disruptive behaviors and increases in academically engaged behaviors during intervention phases as compared to baseline and withdrawal phases in all classrooms. Effect sizes were moderate to large for all comparisons. Limitations of the present study, directions for future research, and implications for practice are discussed.Disruptive student behaviors in the classroom can hinder learning for students and frustrate both students and teachers (Lane, 2007). In order to reduce disruptive behaviors and promote a positive learning environment without reliance on traditional more punitive or exclusionary practices (e.g., suspensions), many school districts have implemented a behavioral support system, called Positive Behavioral Interventions and Support (PBIS). PBIS is a system that supports appropriate student behaviors

Single-case data are frequently used in school psychology. In research, single-case designs allow experimenters to provide rigorous demonstrations of treatment effects on a smaller scale and with more precise measurement than traditional group experimental design. In practice, single-case data are used to evaluate the effects of school-based services to make decisions at the individual level within a multitiered system of support (MTSS). School psychology and related fields (e.g., special education) have worked to increase the rigor of single-case data by developing standards for single-case experimental design and developing robust single-case effect size statistics; however, in practice, single-case data are often collected with less experimental rigor and evaluated using visual analysis of a linear graph as opposed to quantitative effect sizes. This is concerning, as an emerging body of literature suggests that simple elements of the graphical display (e.g., ordinate axis scaling, ratio of X to Y axis length) can have a profound impact on effect size judgments made by visual analysts. Currently, there are no standards guiding the construction of linear graphs used to display single-case data. The purpose of this paper is to advance the perspective that our field must develop and adopt standards of linear graph construction or risk inaccurate decisions within a MTSS framework. (PsycINFO Database Record