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Two post-stroke aphasia participants completed a 12-week adaptive distributed practice naming intervention. Stimuli variability was tested across high versus low exemplar variability and a verbal description prompt balanced across 120 trained words. Outcomes were evaluated at 1 week, 1 month, and 3 months using Bayesian generalized mixed-effects models.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/applying-adaptive-distributed-practice-to-self-managed-computer-based-anomia-treatment-a-single-case-experimental-design/159445/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/applying-adaptive-distributed-practice-to-self-managed-computer-based-anomia-treatment-a-single-case-experimental-design/159445.png","ImageObject",300,407,{"name":92,"@type":93},"Melati","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-27","2026-08-29",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",11,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What intervention was used in the study for self-managed anomia treatment?","Question",{"text":113,"@type":114},"Participants completed a 12-week naming intervention using adaptive distributed practice delivered through a self-managed computer-based format.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How were stimuli variability conditions implemented?",{"text":118,"@type":114},"Stimuli variability was manipulated using high exemplar variability, low exemplar variability, and a verbal description prompt balanced across 120 trained words.",{"name":120,"@type":111,"acceptedAnswer":121},"What outcomes were measured and when were they assessed?",{"text":122,"@type":114},"Word acquisition, generalization, and retention were assessed at 1 week, 1 month, and 3 months post-treatment using Bayesian generalized mixed-effects models.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},159445,1788018067,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145},962085570644,"https://ap-avatar.wpscdn.com/davatar_994ba38a5ba835b3df7d355c54d3ed8d","Applying adaptive distributed practice to self-managed computer-based anomia treatment:  \na single-case experimental design  \nYina M. Quique 1, Robert Cavanaugh2, Erica Lescht2, William S. Evans2  \n1Center for Education in Health Sciences, Northwestern University, Chicago, IL, USA. 2Department of Communication Sciences and Disorders, University of Pittsburgh, Pittsburgh, PA, USA.  \nCorresponding author: Yina M. Quique  \n[yinaquique@northwestern.edu](yinaquique@northwestern.edu)  \nCenter for Education in Health Sciences  \n633 N. Saint Clair St.  \n20th Floor  \nChicago, IL 60611  \nKeywords: aphasia, anomia, adaptive distributed practice, self-managed treatment  \nFunding and acknowledgments: Research reported in this publication was supported by the UPMC Competitive Medical Research Fund (CMRF) awarded to William Evans. Our sincere gratitude to Brandon Nguy and Gillian Reed for their assistance in finding the picture exemplarsand Joshua Peckman for his assistance in scoring.  \nDeclaration of Interest statement: The authors report no declarations of interest.  \nThis is the author version of the accepted manuscript which is published in the Journal of Communication Disorders, available here: [https://doi.org/10.1016/j.jcomdis.2022.106249](https://doi.org/10.1016/j.jcomdis.2022.106249). Licensed under the Creative Commons CC BY-NC-ND.  \nAbstract  \nIntroduction: There is a pressing need to improve computer-based treatments for aphasia to increase access to long-term effective evidence-based interventions. The current single case design incorporated two learning principles, adaptive distributed practice and stimuli variability, to promote acquisition, retention, and generalization of words in a self-managed computer-based anomia treatment.  \nMethods: Two participants with post-stroke aphasia completed a 12-week adaptive distributed practice naming intervention in a single-case experimental design. Stimuli variability was manipulated in three experimental conditions: high exemplar variability, low exemplar variability, and verbal description prompt balanced across 120 trained words. Outcomes were assessed at 1-week, 1-month, and 3-months post-treatment. Statistical comparisons and effect sizes measured in the number of words acquired, generalized, and retained were estimated using Bayesian generalized mixed-effect models.  \nResults: Participants showed large and robust acquisition, generalization, and retention effects. Out of 120 trained words, participant 1 acquired ~77 words (trained picture exemplars) and ~ 63 generalization words (untrained picture exemplars of treated words) . Similarly, participant 2 acquired ~ 57 trained words and ~48 generalization words. There was no reliable change in untrained control words for either participant. Stimuli variability did not show practically meaningful effects.  \nConclusions: These case studies suggest that adaptive distributed practice is an effective method for re-training more words than typically targeted in anomia treatment research (~47 words on average per Snell et al., 2010) . Generalization across experimental conditions provided evidence for improved lexical access beyond what could be attributed to simple stimulusresponse mapping. These effects were obtained using free, open-source flashcard software in a clinically feasible, asynchronous format, thereby minimizing clinical implementation barriers. Larger-scale clinical trials are required to replicate and extend these effects.  \n1  \n1. Introduction  \nApproximately one-third of stroke survivors are diagnosed with aphasia, and more than two million people with aphasia are currently living in the United States (Simmons-Mackie & Cherney, 2018) . Aphasia negatively affects communication ability, life participation, and longterm quality of life (Cruice et al., 2006; Dalemans et al., 2010) . Although people with aphasia continue to improve their communication abilities in response to long-term speech and language pathology services (All","cbCaiurawlyLUYu9","https://ap.wps.com/l/cbCaiurawlyLUYu9","pdf",1258441,31,"English","# Introduction\n## Need for improved computer-based aphasia treatment\n# Methods\n## Participants and 12-week intervention\n## Stimuli variability conditions\n## Outcome measures and analysis\n# Results\n## Acquisition, generalization, retention effects\n# Conclusions\n## Clinical feasibility and future trials","[{\"question\":\"What intervention was used in the study for self-managed anomia treatment?\",\"answer\":\"Participants completed a 12-week naming intervention using adaptive distributed practice delivered through a self-managed computer-based format.\"},{\"question\":\"How were stimuli variability conditions implemented?\",\"answer\":\"Stimuli variability was manipulated using high exemplar variability, low exemplar variability, and a verbal description prompt balanced across 120 trained words.\"},{\"question\":\"What outcomes were measured and when were they assessed?\",\"answer\":\"Word acquisition, generalization, and retention were assessed at 1 week, 1 month, and 3 months post-treatment using Bayesian generalized mixed-effects models.\"}]","Applying Adaptive Distributed Practice to Self-Managed Computer-Based Anomia Treatment - A Single-Case Experimental Design | PDF",78]