Evaluation of treatment effect estimates in single‐case experimental research: comparison of twelve overlap methods and visual analysis

The purpose of this study was to compare 12 commonly‐used nonoverlap methods with each other and with the results of visual analysis. Data were obtained from 25 studies focused on embedded instruction and schema‐based instruction and included a total of 101 graphs. Treatment effect estimates using 12 nonoverlap methods were calculated for each graph by hand or using an online calculator. Five experts conducted visual analysis of each graph. Results showed that strong agreements existed between visual analysis and PND, Tau_NOVLAP and Tau‐U when raw data were analysed, and PND, PNCD and PEM‐T when categorised data were analysed. Of the 12 methods investigated, PND had the highest agreement rate with visual analysis, followed by PEM‐T, PAND, PNCD, IRD, NAP and Tau_NOVLAP. Overall, visual analysis appeared to be more conservative, as most nonoverlap methods overestimated the treatment effect. Additional research is needed to replicate and potentially validate the findings of this study.     

Facilitating Conceptual Change in Gases Concepts

The aim of this study is to investigate the effectiveness of conceptual change oriented instruction (CCOI) over traditionally designed chemistry instruction (TDCI) on overcoming 10th grade students’ misconceptions on gases concepts. In addition, the effect of gender difference on students’ understanding of gases concepts was investigated. The subjects of this study consisted of 74 10th grade students from two chemistry classes. One of the classes was assigned as experimental group and the other group was assigned as control group. The experimental group was instructed with CCOI and the control group was instructed by TDCI. Gases Concept Test (GCT) was administered to both groups as pre- and post-tests to measure the students’ conceptual understanding. The results showed that students in the experimental group got higher average scores from Gases Concept Test. Also, a significant difference was found between the performance of females and that of males in terms of understanding gases concepts in favor of males.     

Enhanced speed control of a DC servo system using PI + DF controller tuned by stochastic fractal search technique

Since Proportional?+?Integral?+?Derivative (PID) controller is still the workhorse in taking over the workload of process control systems, this article introduces a new design methodology toward improving the performance of such controller. After a PI control law with windup protection is given, it is combined with a derivative path employing a first-order low pass filter in an innovative way to develop a performant controller called PI?+?DF controller. In attempting to attain a high level of control performance, gains of this controller including proportional, integral, derivative and filter gains are tuned choosing the recently introduced Stochastic Fractal Search (SFS) algorithm owing to its superiority to many state-of-the-art algorithms considering convergence, accuracy and robustness. To evaluate the efficacy of SFS, Particle Swarm Optimization (PSO) is also applied to the case study. Furthermore, the presented SFS optimized PI?+?DF controller is compared to a recently reported control scheme through simulation and experimental tests on an identical DC servo system. After providing the stability proof, SFS tuned PI?+?DF controller is found to be the pioneer in exhibiting the most accurate speed response profile under complicated scenarios, which is followed by PSO tuned PI?+?DF controller and the existing control approach, respectively.     

Meta-Representation in an Algebra I Classroom

We describe how 1 Algebra I teacher and her 8th-grade students used meta-representational knowledge when generating and evaluating equations to solve word problems. Analyzing data from a sequence of 4 lessons, we found that the teacher and her students used criteria for evaluating equations, in addition to other types of knowledge (e.g., different interpretations of the equal sign) previously reported in the literature. Moreover, the teacher and her students had trouble understanding one another's proposed algebraic models of problem situations due to differences in the criteria that each applied, and this impeded learning. These findings (a) extend an accumulating body of evidence for the role meta-representation plays in mathematics and science learning and (b) add a new dimension to researchers' growing understanding of what teachers must know in order to teach algebra and other complex mathematics and science topics effectively.     

Cyber Bullying @ Schools: What do Turkish Adolescents Think?

Cyber bullying is an emerging form of peer bullying, becoming prominent especially over the past decade. The aim of this study was to investigate through interviews the perceptions of Turkish high school students about cyber bullying. The sample consisted of six male and one female high school students all aged 15 years who identified as being active in cyber bullying. Findings were grouped under four main headings; acts of cyber bullying, reasons for cyber bullying, characteristics of cyber bullies and victims, and suggestions to prevent cyber bullying. The results were discussed in the light of relevant literature.     

Effect sizes as result interpretation aids in single‐subject experimental research: description and application of four nonoverlap methods

Single‐subject experimental research (SSER), one of the most commonly used research methods in special education and applied behaviour analysis, is a scientific, rigorous and valid method to evaluate the effectiveness of behavioural, educational and psychological treatments. However, studies using single‐subject experimental research designs are often excluded from meta‐analyses of evidence‐based practices due to the lack of methodological consensus on the type of effect size indices to be used to determine treatment effect. To promote the use of effect size indices as an adjunct to visual analysis, this article describes four nonoverlap methods (PND, IRD, PEM‐T and Tau‐U) and demonstrates their application to data obtained from studies employing different SSER designs. Advantages and disadvantages of each method are highlighted and considerations for selecting the most appropriate method are provided for researchers and practitioners.     

Early cognitive and home environmental predictors of reading fluency and reading comprehension in Turkish-speaking children

In this study, we aimed to determine the early cognitive and home environmental predictors of reading in Turkish-speaking children. A total of 362 children participated in the study. We monitored the children for 3 years and assessed the home environmental variables and cognitive skills in kindergarten, reading fluency at the end of the first grade, and reading comprehension at the end of the second grade. We found that home literacy environment and socioeconomic status predicted early literacy skills in kindergarten as they also predicted reading fluency and reading comprehension through early literacy in later years. In addition, we found that phonological awareness, letter knowledge, and rapid naming predicted reading fluency, while language and verbal working memory predicted reading comprehension. The results of the study showed us that it is important to consider reading and reading comprehension in Turkish-speaking children holistically, together with cognitive skills and home environmental variables.