A seven-dimension framework, introduced by Baer, Wolf, and Risley in an iconic 1968 article, has become the de facto gold standard for identifying "good" work in applied behavior analysis. We examine the framework's historical context and show how its overarching attention to social relevance first arose and then subsequently fueled the growth of applied behavior analysis. Ironically, however, in contemporary use, the framework serves as a bottleneck that prevents many socially important problems from receiving adequate attention in applied behavior analysis research. The core problem lies in viewing the framework as a conjoint set in which "good" research must reflect all seven dimensions at equally high levels of integrity. We advocate a bigger-tent version of applied behavior analysis research in which, to use Baer and colleagues' own words, "The label applied is determined not by the procedures used but by the interest society shows in the problem being studied." Because the Baer-Wolf-Risley article expressly endorses the conjoint-set perspective and devalues work that falls outside the seven-dimension framework, pitching the big tent may require moving beyond that article as a primary frame of reference for defining what ABA should be.
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http://dx.doi.org/10.1007/s40614-017-0093-x | DOI Listing |
Am J Surg Pathol
January 2025
Department of Pathology, Johns Hopkins University, Baltimore, MD.
Low-grade gliomas and reactive piloid gliosis can present with overlapping features on conventional histology. Given the large implications for patient treatment, there is a need for effective methods to discriminate these morphologically similar but clinically distinct entities. Using routinely available stains, we hypothesize that a limited panel including SOX10, p16, and cyclin D1 may be useful in differentiating mitogen-activated protein (MAP) kinase-activated low-grade gliomas from piloid gliosis.
View Article and Find Full Text PDFHeliyon
January 2025
Coordination Center for Research in Social Sciences, Faculty of Economics and Business, University of Debrecen, Böszörményi út 138., 4032, Debrecen, Hungary.
In recent months, the European Union has experienced inflation that has not been seen for decades. Inflation and inflation expectations are crucial in economic and purchasing behaviour, as they influence consumption. Hungary had the highest inflation among the Member States of the European Union.
View Article and Find Full Text PDFRSC Adv
January 2025
Institute of Theoretical and Applied Research, Duy Tan University Ha Noi 100000 Vietnam
In this work, Ge vacancies and doping with transition metals (Mn and Fe) are proposed to modulate the electronic and magnetic properties of GeP monolayers. A pristine GeP monolayer is a non-magnetic two-dimensional (2D) material, exhibiting indirect gap semiconductor behavior with an energy gap of 1.34(2.
View Article and Find Full Text PDFPrev Med Rep
January 2025
Johns Hopkins University Bloomberg School of Public Health, Department of Population, Family and Reproductive Health, Baltimore, MD 21205, USA.
Objective: To examine associations between student perceptions of school physical activity best practices and accelerometer-based physical activity during school days.
Methods: The sample was 758 students in grades 3rd-4th or 6th-7th (female-58 %; 31 % Black/African American) from 33 schools across five school districts in a Mid-Atlantic state in the U.S.
Curr Med Imaging
January 2025
School of Life Sciences, Tiangong University, Tianjin 300387, China.
Objective: The objective of this research is to enhance pneumonia detection in chest X-rays by leveraging a novel hybrid deep learning model that combines Convolutional Neural Networks (CNNs) with modified Swin Transformer blocks. This study aims to significantly improve diagnostic accuracy, reduce misclassifications, and provide a robust, deployable solution for underdeveloped regions where access to conventional diagnostics and treatment is limited.
Methods: The study developed a hybrid model architecture integrating CNNs with modified Swin Transformer blocks to work seamlessly within the same model.
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