Perspectives on Behavior Science is an official quarterly publication of the Association for Behavior Analysis International. It publishes reviews of theoretical, experimental, and applied topics in behavior analysis as well as allied behavior sciences. Literature reviews, re-interpretations of published data, and articles on behaviorism as a philosophy are welcome.
- Presents articles on theoretical, experimental, and applied topics in behavior analysis
- Also includes literary reviews, re-interpretations of published data, and articles on behaviorism as a philosophy
- An official publication of the Association for Behavior Analysis International
- M. Christopher Newland
- Publishing model
- Hybrid. Open Access options available
- 2.463 (2018)
- Impact factor
- 1.646 (2018)
- Five year impact factor
- 64 days
- Submission to first decision
- 196 days
- Submission to acceptance
- 52,874 (2019)
Authors (first, second and last of 4)
Authors (first, second and last of 4)
Relational Density Theory: Nonlinearity of Equivalence Relating Examined through Higher-Order Volumetric-Mass-Density
Foundational work in the Quantitative Analysis of Behavior (QAB) has shaped our conceptualization of behavioral processes and provided insightful ways to describe order in our data. More recently, researchers have begun applying these insights and quantitative approaches to issues of societal importance. Examples of this Applied Quantitative Analysis of Behavior (A-QAB) include the use of behavioral economics to understand health behavior, the use of quantitative models to highlight mechanisms of drug action, leveraging the insights of QAB approaches to describe the resurgence of problem behavior in clinical populations, and more.
We invite the submission of scholarly work providing discussion, examples, technical papers, or summaries of these efforts for a special section of Perspectives on Behavior Science on A-QAB.
Submission Deadline: January 1, 2021
Guest Editors: David Jarmolowicz, Peter Killeen, Sally, Juskinson, Brian Greer
Call for Papers: Translating Advanced Quantitative Techniques for Single Case Experimental Design Data
The purpose of this special section is to provide an outlet for quantitative researchers to explain the possible applications and implications of using various advanced quantitative techniques to SCED data through Perspectives on Behavior Science. Manuscripts that provide guidelines and/or step-by-step procedures with applied examples for SCED researchers are strongly preferred. We also invite applied behavior analysts (e.g., clinical behavior analytic scientists) to provide a commentary on the next steps needed to expand the application of advanced quantitative techniques to SCED data.
Submission Deadline: November 1, 2020
Guest Editors: Lucy Barnard-Brak, David M. Richman, Laci Watkins
As a result of the significant disruption that is being caused by the COVID-19 pandemic, we are very aware that many researchers will have difficulty in adhering to the normal timelines associated with many steps of the publication process, including peer review. Please do let us know if you need additional time at any step. Our systems will continue to remind you of the original timelines, but we intend to be highly flexible at this time.
Direct Instruction (DI) is a powerful teaching system that combines logical selection and sequencing of examples and high rates of student responding to mastery. Countless children and adults owe their literacy and early academic success to teachers who skillfully presented DI programs developed by Siegfried Engelmann and colleagues. In acknowledgement of the central importance of this topic to behavior analysis, science, and learning, Perspectives on Behavior Science and Behavior Analysis in Practice are planning special sections on Direct Instruction and the Science and Practice of Behavior Analysis.
Submission Deadline: September 1, 2020
POBS Guest Editors: William Heward and Janet Twyman
Societies, partners and affiliations
About this journal
- Electronic ISSN
- Print ISSN
- Abstracted and indexed in
- Current Contents / Social & Behavioral Sciences
- EBSCO Discovery Service
- ERIH PLUS
- Google Scholar
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Social Sciences Edition
- OCLC WorldCat Discovery Service
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- Social Science Citation Index