Applying the evolutionary theory of behavior dynamics to model the subtypes of automatically reinforced self‐injurious behavior
The delineation of the subtypes of automatically reinforced self‐injurious behavior improved the utility of functional analysis results in predicting treatment efficacy. However, the mechanisms underlying subtype differences remain unclear and difficult to study in clinical populations. Morris and M...
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Veröffentlicht in: | Journal of applied behavior analysis 2023-04, Vol.56 (2), p.442-457 |
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description | The delineation of the subtypes of automatically reinforced self‐injurious behavior improved the utility of functional analysis results in predicting treatment efficacy. However, the mechanisms underlying subtype differences remain unclear and difficult to study in clinical populations. Morris and McDowell (2021) attempted to elucidate subtype differences by developing and evaluating models of the subtypes within the evolutionary theory of behavior dynamics. In the current study, we applied techniques from precision medicine to further evaluate the models developed by Morris and McDowell. This evaluation highlighted shortcomings of the existing models and suggested ways they could be improved. Thus, we conducted more extended modeling within the framework of precision medicine to identify models that were more quantitatively similar to available clinical data. Improved models that more closely approximate clinical data were identified. The implications of these models for research, practice, and further applications of the evolutionary theory of behavior dynamics are discussed. |
doi_str_mv | 10.1002/jaba.982 |
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However, the mechanisms underlying subtype differences remain unclear and difficult to study in clinical populations. Morris and McDowell (2021) attempted to elucidate subtype differences by developing and evaluating models of the subtypes within the evolutionary theory of behavior dynamics. In the current study, we applied techniques from precision medicine to further evaluate the models developed by Morris and McDowell. This evaluation highlighted shortcomings of the existing models and suggested ways they could be improved. Thus, we conducted more extended modeling within the framework of precision medicine to identify models that were more quantitatively similar to available clinical data. Improved models that more closely approximate clinical data were identified. 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However, the mechanisms underlying subtype differences remain unclear and difficult to study in clinical populations. Morris and McDowell (2021) attempted to elucidate subtype differences by developing and evaluating models of the subtypes within the evolutionary theory of behavior dynamics. In the current study, we applied techniques from precision medicine to further evaluate the models developed by Morris and McDowell. This evaluation highlighted shortcomings of the existing models and suggested ways they could be improved. Thus, we conducted more extended modeling within the framework of precision medicine to identify models that were more quantitatively similar to available clinical data. Improved models that more closely approximate clinical data were identified. The implications of these models for research, practice, and further applications of the evolutionary theory of behavior dynamics are discussed.</description><subject>automatic reinforcement</subject><subject>behavior dynamics</subject><subject>evolutionary theory</subject><subject>Humans</subject><subject>Precision Medicine</subject><subject>Reinforcement, Psychology</subject><subject>Self-Injurious Behavior - therapy</subject><subject>self‐injurious behavior</subject><subject>Treatment Outcome</subject><issn>0021-8855</issn><issn>1938-3703</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kctO3TAQhi3UCg4XqU9QRWLDJtSXOLGXBwQUhNRNu44cnzH4yImDnRyUHbwBz8iT4JRLJaSuRpr55tNofoS-EXxMMKY_1qpRx1LQLbQgkomcVZh9QYs0IrkQnO-g3RjXGBOKS76NdlgpKS2lXKDHZd-7yXY32XALGWy8GwfrOxWmueFT8SZr4FZtrA_ZaupUa3XMBp-1fgXu71Ycm2HqIc6oGgffqsFq5dyUBbCd8UHDKovgzPPDk-3WY7B-jB_SffTVKBfh4K3uoT_nZ79Pf-bXvy4uT5fXuWaFpDmHkmpMhMQYjGkqbrRQEggzRaEoISAM4ZRCIUsiStEwoQptFC85rXSlGNtDR6_ePvi7EeJQtzZqcE51kO6pqcC0oByzMqGHn9C1H0OXrpspInFFqfwn1MHHGMDUfbBt-lxNcD3HUs-x1CmWhH5_E45NC6sP8D2HBOSvwL11MP1XVF8tT5az8AUjtJmw</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Morris, Samuel L.</creator><creator>Lucia, Sarah M.</creator><general>Wiley Subscription Services, Inc</general><general>Blackwell Publishing Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K7.</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0724-6954</orcidid></search><sort><creationdate>20230401</creationdate><title>Applying the evolutionary theory of behavior dynamics to model the subtypes of automatically reinforced self‐injurious behavior</title><author>Morris, Samuel L. ; Lucia, Sarah M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3492-5e62c018900effb75fc8a9e13f44a211e8f1522e4961868b38a4cfa56527c7a33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>automatic reinforcement</topic><topic>behavior dynamics</topic><topic>evolutionary theory</topic><topic>Humans</topic><topic>Precision Medicine</topic><topic>Reinforcement, Psychology</topic><topic>Self-Injurious Behavior - therapy</topic><topic>self‐injurious behavior</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Morris, Samuel L.</creatorcontrib><creatorcontrib>Lucia, Sarah M.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Criminal Justice (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of applied behavior analysis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Morris, Samuel L.</au><au>Lucia, Sarah M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Applying the evolutionary theory of behavior dynamics to model the subtypes of automatically reinforced self‐injurious behavior</atitle><jtitle>Journal of applied behavior analysis</jtitle><addtitle>J Appl Behav Anal</addtitle><date>2023-04-01</date><risdate>2023</risdate><volume>56</volume><issue>2</issue><spage>442</spage><epage>457</epage><pages>442-457</pages><issn>0021-8855</issn><eissn>1938-3703</eissn><abstract>The delineation of the subtypes of automatically reinforced self‐injurious behavior improved the utility of functional analysis results in predicting treatment efficacy. 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subjects | automatic reinforcement behavior dynamics evolutionary theory Humans Precision Medicine Reinforcement, Psychology Self-Injurious Behavior - therapy self‐injurious behavior Treatment Outcome |
title | Applying the evolutionary theory of behavior dynamics to model the subtypes of automatically reinforced self‐injurious behavior |
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