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Elcoro M, Diller JW, Correa JC. Promoting Reciprocal Relations across Subfields of Behavior Analysis via Collaborations. Perspect Behav Sci 2023; 46:431-446. [PMID: 38144552 PMCID: PMC10733255 DOI: 10.1007/s40614-023-00386-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2023] [Indexed: 12/26/2023] Open
Abstract
Several barriers may inhibit the growth of behavior analysis as a more integrated and collaborative field. Two such barriers are siloed environments that reinforce a basic-applied distinction, and a lack of translational research pathways. We describe the perils of silos, and elaborate on potential solutions to increase reciprocal relations among subfields in behavior analysis. We promote a five-tiered system to classify research in behavior analysis, and discuss literature on cultivating effective intra and cross-disciplinary collaborations, including using the framework of metacontingencies to understand collaborations. We also propose quantitative and qualitative measures to examine whether the potential solutions increase intra and interdisciplinary interactions. These measures include bibliometric (e.g., citations across fields), sociometric (e.g., social network analysis), and narrative analysis. We apply some of these measures to publications from 2011-2022 from the Journal of the Experimental Analysis of Behavior and Journal of Applied Behavior Analysis, and argue that behavior analysis overall may benefit from a more collaborative approach. Supplementary Information The online version contains supplementary material available at 10.1007/s40614-023-00386-x.
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Affiliation(s)
- Mirari Elcoro
- Department of Psychology and Philosophy, Framingham State University, 100 State Street, Framingham, MA 01701 USA
| | - James W. Diller
- Department of Psychological Science, Eastern Connecticut State University, Willimantic, CT USA
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2
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Galizio A, Odum AL. Reinforced behavioral variability in the valproate rat model of autism spectrum disorder. J Exp Anal Behav 2022; 117:576-596. [PMID: 35467762 DOI: 10.1002/jeab.760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2021] [Revised: 02/28/2022] [Accepted: 03/29/2022] [Indexed: 11/05/2022]
Abstract
Individuals diagnosed with autism spectrum disorder (ASD) tend to display restricted, repetitive behaviors and deficits in social interaction. Rats exposed to valproate (VPA) in utero have been shown to model symptoms of ASD. In previous research, VPA rats engaged in less social interaction and more repetitive responding than controls. The purpose of the present study was to further investigate behavioral variability in the VPA rat model of ASD by testing VPA and control rats in a reinforced-behavioral-variability operant task. In this procedure, rats emitted sequences of lever presses, some of which produced food. During baseline, food was delivered probabilistically, and variability was not required. Next, rats were exposed either to a variability contingency, in which food was only delivered following sequences that differed sufficiently from previous sequences (i.e., variability required), or to a yoked contingency, in which variability was not required. We hypothesized that VPA rats would behave less variably than controls in this task. However, VPA and control rats responded similarly variably when variability was required. Furthermore, VPA rats behaved slightly more variably than controls during baseline and yoked conditions, when variability was not required. These findings contribute to the complex literature surrounding the VPA rat model of ASD.
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Affiliation(s)
- Ann Galizio
- Utah State University, Department of Psychology
| | - Amy L Odum
- Utah State University, Department of Psychology
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McIlvane WJ, Iversen IH, Lattal KA, Lionello-DeNolf KM, Petursdottir AI. An appreciation of Murray Sidman's science and his impact. J Exp Anal Behav 2020; 115:4-12. [PMID: 33369746 DOI: 10.1002/jeab.666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 12/14/2020] [Indexed: 11/10/2022]
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Elcoro M, Backer A. Murray Sidman and Patient H. M.: The role of behavior analysis in the emergence of collaborative modern neuroscience. J Exp Anal Behav 2020; 115:242-254. [PMID: 33319374 DOI: 10.1002/jeab.656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 11/12/2020] [Accepted: 11/15/2020] [Indexed: 11/09/2022]
Abstract
The intersection of the lives of 2 essential individuals in science, behavior analyst Murray Sidman (1923-2019), and Henry G. Molaison also known as Patient H.M. (1926-2008), warrants examination as it highlights the role of behavior analysis and other disciplines in the emergence of modern neuroscience and a collaborative approach to science. This paper describes the historical context and content of two publications by Sidman in which Molaison served as a research participant. The goal of the present paper is to emphasize this little-known facet of Sidman's rich career and to highlight the pioneering role of behavior analysis, and particularly the work of Murray Sidman, in the emergence of collaborative modern neuroscience.
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Pfaller-Sadovsky N, Hurtado-Parrado C, Cardillo D, Medina LG, Friedman SG. What's in a Click? The Efficacy of Conditioned Reinforcement in Applied Animal Training: A Systematic Review and Meta-Analysis. Animals (Basel) 2020; 10:ani10101757. [PMID: 32998242 PMCID: PMC7600771 DOI: 10.3390/ani10101757] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/24/2020] [Accepted: 09/25/2020] [Indexed: 01/19/2023] Open
Abstract
Simple Summary Conditioned reinforcement, for example, clicker training, has become increasingly popular in recent decades. Hence, questions about the effectiveness of the conditioned reinforcer have become prominent in the animal training arena. This article summarizes the scientific literature on conditioned reinforcement in applied animal training settings (e.g., homes). It was found that dogs and horses were the most frequently studied animals. Clickers and food were the most often used training stimuli. Effect size analysis found a medium effect of clicker training. The literature reviewed here shows that conditioned reinforcement is an effective approach to change animal behavior; however, sizable information potentially related to its effectiveness was not clearly reported in the studies (e.g., food preferences). Although this review fills in a gap in the literature, it also points to the need for more research to further the understanding of conditioned reinforcement phenomena. Abstract A conditioned reinforcer is a stimulus that acquired its effectiveness to increase and maintain a target behavior on the basis of the individual’s history—e.g., pairings with other reinforcers. This systematic review synthesized findings on conditioned reinforcement in the applied animal training field. Thirty-four studies were included in the review and six studies were eligible for a meta-analysis on the effectiveness of behavioral interventions that implemented conditioned reinforcement (e.g., clicks, spoken word, or whistles paired with food). The majority of studies investigated conditioned reinforcement with dogs (47%, n = 16) and horses (30%, n = 10) implementing click–food pairings. All other species (cats, cattle, fish, goats, and monkeys) were equally distributed across types of conditioned (e.g., clicker or spoken word) and unconditioned reinforcers (e.g., food, water, or tactile). A meta-analysis on the effectiveness of conditioned reinforcement in behavioral interventions found a medium summary effect size (Tau-U 0.77; CI95% = [0.53, 0.89]), when comparing baseline, where no training was done, and treatment levels. Moderators of conditioned reinforcement effectiveness were species (e.g., horses) and research design (e.g., multiple-baseline designs). The small number of intervention-focused studies available limits the present findings and highlights the need for more systematic research into the effectiveness of conditioned reinforcement across species.
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Affiliation(s)
- Nicole Pfaller-Sadovsky
- School of Biological Sciences, Queen’s University Belfast, Belfast BT95AJ, UK
- Correspondence: ; Tel.: +43-664-4226-538
| | - Camilo Hurtado-Parrado
- Department of Psychology, Troy University, Troy, AL 36082, USA;
- Faculty of Psychology, Fundación Universitaria Konrad Lorenz, Bogota 110221, Colombia;
| | | | - Lucia G. Medina
- Faculty of Psychology, Fundación Universitaria Konrad Lorenz, Bogota 110221, Colombia;
| | - Susan G. Friedman
- Department of Psychology, Utah State University, Logan, UT 84322, USA;
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Kyonka EGE, Subramaniam S. Translating Behavior Analysis: a Spectrum Rather than a Road Map. Perspect Behav Sci 2018; 41:591-613. [PMID: 31976415 PMCID: PMC6701482 DOI: 10.1007/s40614-018-0145-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Much has been written about the potential benefits of translational research in behavior analysis, but a lack of consensus about what constitutes "translational" creates a barrier to effective knowledge-practice innovation within the discipline and across other sciences. We propose a tiered system, adapted from a biomedical translational pathway, for classifying behavior analysis research on a basic-applied spectrum. Tier 0 is blue sky basic science in which the subjects, behaviors, stimuli, and settings are selected for convenience. Tier 1 is use-inspired basic science with a socially important end game and research subject. Tier 2 is solution-oriented research that attempts to solve a specific problem in a socially important subject, but 1 or more aspects of the research are selected for purposes of experimental control rather than social importance. Tier 3 is applied behavior analysis research that studies a problem of social significance for the subject and involves behaviors, stimuli, and settings that are socially important. Tier 4 is impact assessment in which behavioral technology is applied with a direct benefit to society. We provide examples of behavior-analytic research in each tier and evaluate the potential benefits of organizing behavior analysis in this way.
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Affiliation(s)
- Elizabeth G. E. Kyonka
- School of Psychology and Behavioural Science, University of New England, Psychology Lane S 6 First Floor, Armidale, NSW 2351 Australia
| | - Shrinidhi Subramaniam
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD USA
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McIlvane WJ, Kledaras JB, Gerard CJ, Wilde L, Smelson D. Algorithmic analysis of relational learning processes in instructional technology: Some implications for basic, translational, and applied research. Behav Processes 2018; 152:18-25. [PMID: 29544867 PMCID: PMC5966334 DOI: 10.1016/j.beproc.2018.03.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Revised: 03/01/2018] [Accepted: 03/01/2018] [Indexed: 11/20/2022]
Abstract
A few noteworthy exceptions notwithstanding, quantitative analyses of relational learning are most often simple descriptive measures of study outcomes. For example, studies of stimulus equivalence have made much progress using measures such as percentage consistent with equivalence relations, discrimination ratio, and response latency. Although procedures may have ad hoc variations, they remain fairly similar across studies. Comparison studies of training variables that lead to different outcomes are few. Yet to be developed are tools designed specifically for dynamic and/or parametric analyses of relational learning processes. This paper will focus on recent studies to develop (1) quality computer-based programmed instruction for supporting relational learning in children with autism spectrum disorders and intellectual disabilities and (2) formal algorithms that permit ongoing, dynamic assessment of learner performance and procedure changes to optimize instructional efficacy and efficiency. Because these algorithms have a strong basis in evidence and in theories of stimulus control, they may have utility also for basic and translational research. We present an overview of the research program, details of algorithm features, and summary results that illustrate their possible benefits. It also presents arguments that such algorithm development may encourage parametric research, help in integrating new research findings, and support in-depth quantitative analyses of stimulus control processes in relational learning. Such algorithms may also serve to model control of basic behavioral processes that is important to the design of effective programmed instruction for human learners with and without functional disabilities.
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Affiliation(s)
- William J McIlvane
- University of Massachusetts Medical School, Worcester, MA, 01655, United States.
| | - Joanne B Kledaras
- University of Massachusetts Medical School, Worcester, MA, 01655, United States
| | - Christophe J Gerard
- University of Massachusetts Medical School, Worcester, MA, 01655, United States
| | - Lorin Wilde
- University of Massachusetts Medical School, Worcester, MA, 01655, United States
| | - David Smelson
- University of Massachusetts Medical School, Worcester, MA, 01655, United States
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Ming S, Stewart I. When things are not the same: A review of research into relations of difference. J Appl Behav Anal 2017; 50:429-455. [PMID: 28078688 DOI: 10.1002/jaba.367] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2014] [Accepted: 06/09/2016] [Indexed: 11/11/2022]
Abstract
Responding to stimuli as same and different can be considered a critical component of a variety of language and academic repertoires. Whereas responding to "sameness" and generalized identity matching (i.e., coordination) have been studied extensively, there appears to be a significant gap in behavior analytic research and educational programs with regard to nonmatching relations or relations of difference. We review research on difference relations from a variety of domains, including comparative psychology, as well as experimental, and translational behavior analysis. We examine a range of studies, including research on the perception of difference and oddity responding, as well as investigations on establishing relational frames of distinction. We present suggestions for future research and describe potential methods for teaching skills related to relations of difference.
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Affiliation(s)
- Siri Ming
- National University of Ireland, Galway
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9
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McIlvane WJ, Gerard CJ, Kledaras JB, Mackay HA, Lionello-DeNolf KM. Teaching Stimulus-Stimulus Relations to Minimally Verbal Individuals: Reflections on Technology and Future Directions. ACTA ACUST UNITED AC 2016; 17:49-68. [PMID: 28490976 DOI: 10.1080/15021149.2016.1139363] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
This paper discusses recent methodological approaches and investigations that are aimed at developing reliable behavioral technology for teaching stimulus-stimulus relations to individuals who are minimally verbal and show protracted difficulty in acquiring such relations. The paper has both empirical and theoretical content. The empirical component presents recent data concerning the possibility of generating rapid relational learning in individuals who do not initially show it. The theoretical component (1) considers decades of methodological investigations with this population and (2) suggests a testable hypothesis concerning some individuals exhibit unusual difficulties in learning. Given this background, we suggest a way forward to better understand and perhaps resolve these learning challenges.
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Affiliation(s)
- W J McIlvane
- Shriver Center, University of Massachusetts Medical School, Worcester, MA
| | - C J Gerard
- Shriver Center, University of Massachusetts Medical School, Worcester, MA
| | | | - H A Mackay
- Shriver Center, University of Massachusetts Medical School, Worcester, MA
| | - K M Lionello-DeNolf
- Shriver Center, University of Massachusetts Medical School, Worcester, MA.,Assumption College, Worcester, MA
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Hayes SC, Barnes-Holmes D, Wilson KG. Contextual Behavioral Science: Creating a science more adequate to the challenge of the human condition. JOURNAL OF CONTEXTUAL BEHAVIORAL SCIENCE 2012. [DOI: 10.1016/j.jcbs.2012.09.004] [Citation(s) in RCA: 216] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Stewart I, McElwee J, Ming S. A critical analysis of conventional descriptions of levels employed in the assessment of basic learning abilities. THE BEHAVIOR ANALYST 2012; 33:127-31. [PMID: 22479131 DOI: 10.1007/bf03392208] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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