{"title":"Introduction to the Special Section: Translating Advanced Quantitative Techniques for Single-Case Experimental Design Data.","authors":"Lucy Barnard-Brak, David M Richman, Laci Watkins","doi":"10.1007/s40614-022-00327-0","DOIUrl":"https://doi.org/10.1007/s40614-022-00327-0","url":null,"abstract":"<p><p>The articles in this special section offer strategies to single-case experimental design (SCED) researchers to interpret their outcomes, communicate their results, and compare the results using common, quantitative results. Advancing quantitative methods applied to SCED data will facilitate communication with scientists and other professionals that do not typically interpret graphed data of the dependent variable. Horner and Ferron aptly note that innovative statistical procedures are improving the precision and credibility of SCED research as disseminate our findings to an increasingly diverse audience. This special section promotes the translation of these quantitative methods to encourage their adoption in research using single case experimental designs.</p>","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"45 1","pages":"1-4"},"PeriodicalIF":2.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894512/pdf/40614_2022_Article_327.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9239797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Dissemination of Contingency Management for the Treatment of Opioid Use Disorder.","authors":"Anthony DeFulio","doi":"10.1007/s40614-022-00328-z","DOIUrl":"10.1007/s40614-022-00328-z","url":null,"abstract":"<p><p>Contingency management is an intervention for substance use disorders based on operant principles. The evidence base in support of contingency management is massive. It is effective in treating substance use disorder in general and opioid use disorder in particular. Dissemination has remained slow despite the urgency created by the opioid epidemic. Key barriers include a lack of expertise, time, and money. Implementing contingency management with smartphones eliminates the need for special training. It also solves logistical issues and requires little time on the part of clinicians. Thus, remaining barriers relate to cost. Federal anti-kickback regulations complicate solutions to the cost barrier. Other important regulatory challenges related to cost include the lack of billing codes and the difficulty of obtaining FDA approval for digital therapeutics. Even after the cost barrier is overcome, provider adoption is not guaranteed. Incentivizing providers for collaborative care may increase adoption and generate referrals. Recently proposed legislation and governmental policy statements provide optimism regarding the near-term large-scale adoption of contingency management in the treatment of opioid use disorder.</p>","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"46 1","pages":"35-49"},"PeriodicalIF":2.5,"publicationDate":"2022-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10050478/pdf/40614_2022_Article_328.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9240363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Tutorial. A Behavioral Analysis of Rationality, Nudging, and Boosting: Implications for Policymaking.","authors":"Marco Tagliabue","doi":"10.1007/s40614-021-00324-9","DOIUrl":"10.1007/s40614-021-00324-9","url":null,"abstract":"<p><p>As recent trends in policymaking call for increased contributions from behavioral science, nudging and boosting represent two effective and relatively economic approaches for influencing choice behavior. They utilize concepts from behavioral economics to affect agents' concurrent suboptimal choices: in principle, without applying coercion. However, most choice situations involve some coercive elements. This study features a functional analysis of rationality, nudging, and boosting applied to public policy. The relationship between behavior and environmental variables is termed a \"behavioral contingency,\" and the analysis can include social and cultural phenomena by applying a selectionist perspective. Principles of behavioral control, whether tight or loose, may be exerted by policymakers or regulators who subscribe to paternalistic principles and may be met with demands of libertarianism among their recipients. This warrants discussion of the legitimacy and likelihood of behavioral control and influence on choices. Cases and examples are provided for extending the unit of analysis of choice behavior to achieve outcomes regulated by policies at the individual and group levels, including health, climate, and education. Further research and intervention comprise the study of macrocontingencies and metacontingencies. Advancing the understanding and application of behavioral science to policymaking may, therefore, benefit from moving from the relatively independent contributions of behavioral economics and behavior analysis to an inclusive selectionist approach for addressing choice behavior and cultural practices.</p>","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"46 1","pages":"89-118"},"PeriodicalIF":2.5,"publicationDate":"2022-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8791424/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9193515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David P Jarmolowicz, Brian D Greer, Peter R Killeen, Sally L Huskinson
{"title":"Applied Quantitative Analysis of Behavior: What It Is, and Why We Care-Introduction to the Special Section.","authors":"David P Jarmolowicz, Brian D Greer, Peter R Killeen, Sally L Huskinson","doi":"10.1007/s40614-021-00323-w","DOIUrl":"10.1007/s40614-021-00323-w","url":null,"abstract":"<p><p>Science evolves from prior approximations of its current form. Interest in changes in species over time was not a new concept when Darwin made his famous voyage to the Galapagos Islands; concern with speciation stretches back throughout the history of modern thought. Behavioral science also does and must evolve. Such change can be difficult, but it can also yield great dividends. The focus of the current special section is on a common mutation that appears to have emerged across these areas and the critical features that define an emerging research area-applied quantitative analysis of behavior (AQAB). In this introduction to the \"Special Issue on Applications of Quantitative Methods,\" we will outline some of the common characteristics of research in this area, an exercise that will surely be outdated as the research area continues to progress. In doing so, we also describe how AQAB is relevant to theory, behavioral pharmacology, applied behavior analysis, and health behaviors. Finally, we provide a summary for the articles that appear in this special issue. The authors of these papers are all thinking outside the Skinner box, creating new tools and approaches, and testing them against relevant data. If we can keep up this evolution of methods and ideas, behavior analysis will regain its place at the head of the table!</p>","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"44 4","pages":"503-516"},"PeriodicalIF":2.0,"publicationDate":"2022-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8738785/pdf/40614_2021_Article_323.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10471971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Advancing the Application and Use of Single-Case Research Designs: Reflections on Articles from the Special Issue.","authors":"Robert H Horner, John Ferron","doi":"10.1007/s40614-021-00322-x","DOIUrl":"10.1007/s40614-021-00322-x","url":null,"abstract":"<p><p>This special issue of <i>Perspective on Behavior Science</i> is a productive contribution to current advances in the use and documentation of single-case research designs. We focus in this article on major themes emphasized by the articles in this issue and suggest directions for improving professional standards focused on the design, analysis, and dissemination of single-case research.</p>","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"45 1","pages":"5-12"},"PeriodicalIF":2.5,"publicationDate":"2021-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894521/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48630986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonathan E. Friedel, Alison D. Cox, Ann Galizio, Melissa J. Swisher, Megan L. Small, Sofia Perez
{"title":"Monte Carlo Analyses for Single-Case Experimental Designs: An Untapped Resource for Applied Behavioral Researchers and Practitioners","authors":"Jonathan E. Friedel, Alison D. Cox, Ann Galizio, Melissa J. Swisher, Megan L. Small, Sofia Perez","doi":"10.1007/s40614-021-00318-7","DOIUrl":"https://doi.org/10.1007/s40614-021-00318-7","url":null,"abstract":"","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"45 1","pages":"209 - 237"},"PeriodicalIF":2.0,"publicationDate":"2021-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52671540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
John Michael Falligant, Michael P Kranak, Louis P Hagopian
{"title":"Further Analysis of Advanced Quantitative Methods and Supplemental Interpretative Aids with Single-Case Experimental Designs.","authors":"John Michael Falligant, Michael P Kranak, Louis P Hagopian","doi":"10.1007/s40614-021-00313-y","DOIUrl":"https://doi.org/10.1007/s40614-021-00313-y","url":null,"abstract":"<p><p>Reliable and accurate visual analysis of graphically depicted behavioral data acquired using single-case experimental designs (SCEDs) is integral to behavior-analytic research and practice. Researchers have developed a range of techniques to increase reliable and objective visual inspection of SCED data including visual interpretive guides, statistical techniques, and nonstatistical quantitative methods to objectify the visual-analytic interpretation of data to guide clinicians, and ensure a replicable data interpretation process in research. These structured data analytic practices are now more frequently used by behavior analysts and the subject of considerable research within the field of quantitative methods and behavior analysis. First, there are contemporaneous analytic methods that have preliminary support with simulated datasets, but have not been thoroughly examined with nonsimulated clinical datasets. There are a number of relatively new techniques that have preliminary support (e.g., fail-safe <i>k</i>), but require additional research. Other analytic methods (e.g., dual-criteria and conservative dual criteria) have more extensive support, but have infrequently been compared against other analytic methods. Across three studies, we examine how these methods corresponded to clinical outcomes (and one another) for the purpose of replicating and extending extant literature in this area. Implications and recommendations for practitioners and researchers are discussed.</p>","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"45 1","pages":"77-99"},"PeriodicalIF":2.5,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894533/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142044179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Some Characteristics and Arguments in Favor of a Science of Machine Behavior Analysis","authors":"M. Lanovaz","doi":"10.1007/s40614-022-00332-3","DOIUrl":"https://doi.org/10.1007/s40614-022-00332-3","url":null,"abstract":"","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"45 1","pages":"399 - 419"},"PeriodicalIF":2.0,"publicationDate":"2021-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42474353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to: Cochran's Q Test of Stimulus Overselectivity within the Verbal Repertoire of Children with Autism.","authors":"Lee Mason, Maria Otero, Alonzo Andrews","doi":"10.1007/s40614-021-00319-6","DOIUrl":"https://doi.org/10.1007/s40614-021-00319-6","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.1007/s40614-021-00315-w.].</p>","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"45 1","pages":"123"},"PeriodicalIF":2.0,"publicationDate":"2021-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894519/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139940900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cochran's Q Test of Stimulus Overselectivity within the Verbal Repertoire of Children with Autism.","authors":"Lee Mason, Maria Otero, Alonzo Andrews","doi":"10.1007/s40614-021-00315-w","DOIUrl":"10.1007/s40614-021-00315-w","url":null,"abstract":"<p><p>Stimulus overselectivity remains an ill-defined concept within behavior analysis, because it can be difficult to distinguish truly restrictive stimulus control from random variation. Quantitative models of bias are useful, though perhaps limited in application. Over the last 50 years, research on stimulus overselectivity has developed a pattern of assessment and intervention repeatedly marred by methodological flaws. Here we argue that a molecular view of overselectivity, under which restricted stimulus control has heretofore been examined, is fundamentally insufficient for analyzing this phenomenon. Instead, we propose the use of the term \"overselectivity\" to define temporally extended patterns of restrictive stimulus control that have resulted in disproportionate populations of responding that cannot be attributed to chance alone, and highlight examples of overselectivity within the verbal behavior of children with autism spectrum disorder. Viewed as such, stimulus overselectivity lends itself to direct observation and measurement through the statistical analysis of single-subject data. In particular, we demonstrate the use of the Cochran <i>Q</i> test as a means of precisely quantifying stimulus overselectivity. We provide a tutorial on calculation, a model for interpretation, and a discussion of the implications for the use of Cochran's <i>Q</i> by clinicians and researchers.</p>","PeriodicalId":44993,"journal":{"name":"Perspectives on Behavior Science","volume":"45 1","pages":"101-121"},"PeriodicalIF":2.5,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8894513/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"52671301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}