{"title":"在R中创建单主题研究设计的情节。","authors":"Jorge A Ruiz, Cristina G Guerrero Sánchez","doi":"10.1007/s40617-024-01032-x","DOIUrl":null,"url":null,"abstract":"<p><p>The use of single-subject research designs is common among behavior analysts, as well as among other professionals interested in the study of behavior. Although there are clear guidelines for creating graphs to represent data collected with these designs, the type of tools used to produce them requires considerable time and effort to cover the specific criteria to plot data for each type of design and always involves the purchase of a software's license. This manuscript describes four functions created in R language to automatically produce plots with specific characteristics for data collected using single-subject experimental designs. These functions were included in a package created in R to facilitate their sharing, installation, and use (R package for data analysis and representation in behavior science, https://github.com/ruizvja/RDARBS). The application of these functions is exemplified for the cases of reversal design, multi-element design, changing criteria, and multiple baseline. The relevance and convenience of functions is illustrated and discussed in the context of other proposals that have been made for the specialized production of plots for single-subject research designs.</p>","PeriodicalId":47310,"journal":{"name":"Behavior Analysis in Practice","volume":"18 1","pages":"291-304"},"PeriodicalIF":2.1000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11904069/pdf/","citationCount":"0","resultStr":"{\"title\":\"Creating Plots for Single-Subject Research Designs in R.\",\"authors\":\"Jorge A Ruiz, Cristina G Guerrero Sánchez\",\"doi\":\"10.1007/s40617-024-01032-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The use of single-subject research designs is common among behavior analysts, as well as among other professionals interested in the study of behavior. Although there are clear guidelines for creating graphs to represent data collected with these designs, the type of tools used to produce them requires considerable time and effort to cover the specific criteria to plot data for each type of design and always involves the purchase of a software's license. This manuscript describes four functions created in R language to automatically produce plots with specific characteristics for data collected using single-subject experimental designs. These functions were included in a package created in R to facilitate their sharing, installation, and use (R package for data analysis and representation in behavior science, https://github.com/ruizvja/RDARBS). The application of these functions is exemplified for the cases of reversal design, multi-element design, changing criteria, and multiple baseline. The relevance and convenience of functions is illustrated and discussed in the context of other proposals that have been made for the specialized production of plots for single-subject research designs.</p>\",\"PeriodicalId\":47310,\"journal\":{\"name\":\"Behavior Analysis in Practice\",\"volume\":\"18 1\",\"pages\":\"291-304\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-12-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11904069/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Behavior Analysis in Practice\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s40617-024-01032-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"PSYCHOLOGY, CLINICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Behavior Analysis in Practice","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s40617-024-01032-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"PSYCHOLOGY, CLINICAL","Score":null,"Total":0}
Creating Plots for Single-Subject Research Designs in R.
The use of single-subject research designs is common among behavior analysts, as well as among other professionals interested in the study of behavior. Although there are clear guidelines for creating graphs to represent data collected with these designs, the type of tools used to produce them requires considerable time and effort to cover the specific criteria to plot data for each type of design and always involves the purchase of a software's license. This manuscript describes four functions created in R language to automatically produce plots with specific characteristics for data collected using single-subject experimental designs. These functions were included in a package created in R to facilitate their sharing, installation, and use (R package for data analysis and representation in behavior science, https://github.com/ruizvja/RDARBS). The application of these functions is exemplified for the cases of reversal design, multi-element design, changing criteria, and multiple baseline. The relevance and convenience of functions is illustrated and discussed in the context of other proposals that have been made for the specialized production of plots for single-subject research designs.
期刊介绍:
Behavior Analysis in Practice, an official journal of the Association for Behavior Analysis International, is a peer-reviewed translational publication designed to provide science-based, best-practice information relevant to service delivery in behavior analysis. The target audience includes front-line service workers and their supervisors, scientist-practitioners, and school personnel. The mission of Behavior Analysis in Practice is to promote empirically validated best practices in an accessible format that describes not only what works, but also the challenges of implementation in practical settings. Types of articles and topics published include empirical reports describing the application and evaluation of behavior-analytic procedures and programs; discussion papers on professional and practice issues; technical articles on methods, data analysis, or instrumentation in the practice of behavior analysis; tutorials on terms, procedures, and theories relevant to best practices in behavior analysis; and critical reviews of books and products that are aimed at practitioners or consumers of behavior analysis.