The purpose of this paper is to analyze various dimensions for measurement of human behavior. Human behaviour is complex. Behaviors, emotions, cognitions, and attitudes can rarely be described in terms of one or two variables. It is multimodal in nature. Furthermore, the traits, modalities and dimensions cannot be measured directly, but must be…

This Concise Review is an appraisal of contemporary research on teaching single-case experimental design (SCED) graphical creation published between 2017-2021. Recent work on SCED graphical creation is summarized and areas for future research are highlighted.

Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…

Behavioral systems analyses typically address organizational problems in business and industry. However, to the extent that a behavioral system is an entity comprised of interdependent elements formed by individuals interacting toward a common goal, a scientific enterprise constitutes a behavioral system to which a behavioral systems analysis may…

Missing data are a pervasive problem in many psychological applications in the real world. In this article we study the impact of dropout on the operational characteristics of several approaches that can be easily implemented with commercially available software. These approaches include the covariance pattern model based on an unstructured…

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,…

Correlational analyses are one of the most popular quantitative methods, yet also one of the mostly frequently misused methods in social and behavioral research, especially when analyzing ordinal data from Likert or other rating scales. Although several correlational analysis options have been developed for ordinal data, there seems to be a lack…

The authors identify 2 major types of statistical data from which semantic representations can be learned. These are denoted as "experiential data" and "distributional data". Experiential data are derived by way of experience with the physical world and comprise the sensory-motor data obtained through sense receptors. Distributional data, by…

Inferences made in integrative research reviews are as important to the validity of behavioral science knowledge as are those in primary research. The research review is conceptualized as a scientific inquiry involving five stages paralleling those of primary research. Problem formulation is the stage when variables are defined conceptually and…

Visual inspection of data is a common method for understanding, responding to, and communicating important behavior-environment relations in single-subject research. In a field that was once dominated by cumulative, moment-to-moment records of behavior, a number of graphic forms currently exist that aggregate data into larger units. In this…

Differences in agreement between observers and analysts of naturalistic narrative data cause problems in observation research. This paper discusses the advantages and disadvantages of several possible solutions. (Author/GDC)

Effects of sex and birth order on interactions between mothers and their six-month-old infants (matched in social class, infant's birth order, and sex) were studied using different sequential behavioral analyses. Results for each method are discussed. (Author/AEF)

The focus on the individual that is possible in analyzing behavioral data provides the possibility of investigating sequencing effects. Autocorrelation--as illustrated with classroom data from a previous study--can cause standard procedures to underestimate the magnitude of measurement error. Recommendations are made to reduce the effects of…

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 R[superscript 2] as "percent of variance accounted for" do not resound with most visual analysts. In fact, the only comparative analysis widely…

Second-generation immigrants are typically analyzed under the assumption that, having been born in the United States, they grew up in the United States. We challenge this assumption by investigating the prevalence and patterns of second-generation Mexican-American children's migration to and return from Mexico during childhood, and consider the…