James R. Larson Jr., Charlotte A. Cornell, Nicholas P. Aramovich
{"title":"Building Better Theories: Prediction Intervals as a Tool for Theory Testing and Improvement","authors":"James R. Larson Jr., Charlotte A. Cornell, Nicholas P. Aramovich","doi":"10.1080/01973533.2024.2313533","DOIUrl":null,"url":null,"abstract":"The precision with which a theory predicts behavior speaks both to the quality of that theory and to its potential utility in real-world applications. Unfortunately, predictive precision is frequen...","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/01973533.2024.2313533","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
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Abstract
The precision with which a theory predicts behavior speaks both to the quality of that theory and to its potential utility in real-world applications. Unfortunately, predictive precision is frequen...