In science in general and in the context of single-case experimental designs, replication of the effects of the intervention within and/or across participants or experiments is crucial for establishing causality and for assessing the generality of the intervention effect. Specific developments and proposals for assessing whether an effect has been…

Single-case designs are a class of research methods for evaluating treatment effects by measuring outcomes repeatedly over time while systematically introducing different condition (e.g., treatment and control) to the same individual. The designs are used across fields such as behavior analysis, clinical psychology, special education, and…

Though ubiquitous, Likert scaling's traditional mode of analysis is often unable to uncover all of the valid information in a data set. Here, the authors discuss a solution to this problem based on methodology developed by quantum physicists: the state multipole method. The authors demonstrate the relative ease and value of this method by…

A common problem in exploratory factor analysis is how many factors need to be extracted from a particular data set. We propose a new method for selecting the number of major common factors: the Hull method, which aims to find a model with an optimal balance between model fit and number of parameters. We examine the performance of the method in an…

We reviewed all research articles in 10 recent volumes of the "Journal of Applied Behavior Analysis (JABA)": Vol. 28(3), 1995, through Vol. 38(2), 2005. Continuous recording was used in the majority (55%) of the 168 articles reporting data on free-operant human behaviors. Three methods for reporting interobserver agreement (exact agreement,…

Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes ("N"), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for "N" below 50. Simulations were carried out to estimate the minimum required "N" for different…

An international movement has focused on identifying evidence-based interventions that were developed to change psychological constructs and that are supported by controlled studies. However, inconsistent findings within individual intervention studies and among multiple studies raise critical problems in interpreting the evidence, and deciding…

Describing the state of the science of ABA, this comprehensive handbook provides detailed information about theory, research, and intervention. The contributors are leading ABA authorities who present current best practices in behavioral assessment and demonstrate evidence-based strategies for supporting positive behaviors and reducing problem…

In this issue of "School Psychology Review," various authors devoted their articles to provide information on the comorbidities and trajectories of different subgroups of bullies and victims. These studies provide a clear direction for future research in this burgeoning field. In this article, the author provide his views on these studies. He…

This commentary summarizes methodological and conceptual issues in functional analysis methodologies and offers some suggestions for their resolution. Considered are increasing complexity, absence of contingencies during assessment, use of subtle manipulations, alternative assessment strategies, analysis of antecedent influences on behavior,…

Effects of response guided experimentation in applied behavior analysis on Type I error rates are explored. Data from T. A. Matyas and K. M. Greenwood (1990) suggest that, when visual inspection is combined with response guided experimentation, Type I error rates can be as high as 25%. (SLD)

Combining psycholinguistic technologies and systems analysis created advances in motivational profiling and numerous new behavioral engineering applications. These advances leapfrog many mainstream statistical research methods, producing superior research results via cause-effect language mechanisms. Entire industries explore motives ranging from…

Selecting a statistical framework for a behavioral study has profoundly different results than does a linguistically framed research strategy. The linguistic strategy overcomes many limitations inherent in statistical strategies and offers more meaningful results. Inferential statistical studies often discuss how the findings "explain" the results…

This monograph is one of a continuing series initiated to provide materials for teachers, parents, school administrators, and governmental decision-makers that might encourage reexamination of a range of evaluation issues and perspectives about schools and schooling. This monograph is a description and analysis of two contrasting paradigms: one…