[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-158612-105":59,"doc-detail-158612-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","psatnmsqt-fygpa-linearity-research-report","PSAT/NMSQT-FYGPA Linearity - Research Report","","The report examines whether a common belief holds that standardized test scores cease to predict outcomes after a minimum threshold. Using a regression approach, it evaluates the linearity between PSAT/NMSQT scores and first-year college GPA (FYGPA) across the full Selection Index range (60–240) and at the upper end (≥200) used for scholarship screening. A quadratic term slightly improves model fit for the full scale, while students with scores of 200+ show a strong linear relationship. Overall findings support using PSAT/NMSQT as a merit scholarship screening tool.",{"@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/psatnmsqt-fygpa-linearity-research-report/158612/",{"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/psatnmsqt-fygpa-linearity-research-report/158612.png","ImageObject",300,407,{"name":92,"@type":93},"Mali","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-22","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 question does the study address about test score prediction?","Question",{"text":113,"@type":114},"The study examines whether PSAT/NMSQT scores stop predicting performance after a minimum threshold, and whether higher scores remain related to first-year college GPA.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How is the relationship between PSAT/NMSQT and FYGPA analyzed?",{"text":118,"@type":114},"The report uses a regression approach to evaluate linearity, including exploration across the full Selection Index range and at the upper score end used for scholarship screening.",{"name":120,"@type":111,"acceptedAnswer":121},"What do the results suggest about using PSAT/NMSQT for merit scholarship selection?",{"text":122,"@type":114},"Findings indicate a strong linear relationship for students with PSAT/NMSQT scores of 200 or higher, supporting PSAT/NMSQT as a screening tool for selecting merit scholarship winners.","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},158612,1788005605,{"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":46,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":31,"preview_page_count":4},2336475104362,"https://ap-avatar.wpscdn.com/avatar/22000c4c46a41b752dd?x-image-process=image/resize,m_fixed,w_180,h_180&k=1786595829695023868","RESEaRch REPoRt 2011-7  \nExamining the Linearity of the PSAT/NMSQT ®–FYGPA Relationship  \nBy Jessica P. Marini, Krista D. Mattern, and Emily J. Shaw  \nVALIDITY  \nJessica P. Marini is a graduate student intern at the College Board.  \nKrista D. Mattern is an associate research scientist at the College Board.  \nEmily J. Shaw is an associate research scientist at the College Board. About the College Board  \nThe College Board is a mission-driven not-for-profit organization that connects students to college success and opportunity. Founded in 1900, the College Board was created to expand access to higher education. Today, the membership association is made up of more than 5,900 of the world’s leading educational institutions and is dedicated to promoting excellence and equity in education. Each year, the College Board helps more than seven million students prepare for a successful transition to college through programs and services in college readiness and college success—including the SAT® and the Advanced Placement Program® . The organization also serves the education community through research and advocacy on behalf of students, educators and schools.  \nFor further information, [visit www.collegeboard.org](visit www.collegeboard.org).  \n© 2011 The College Board. College Board, SAT and the acorn logo are registered trademarks of the College Board. inspiring minds is a trademark owned by the College Board. All other products and services may be trademarks of their respective owners. Visit the College Board on the Web:  \n[www.collegeboard.org](www.collegeboard.org).  \nFor more information on College Board research and data, [visit www.collegeboard.org/research](visit www.collegeboard.org/research)  \nVisit the College Board on the Web: [www.collegeboard.org](www.collegeboard.org) .  \nTY  \nContents  \nExecutive Summary ................................................................................................ 3  \nIntroduction ............................................................................................................. 4  \nMethod ..................................................................................................................... 7  \nParticipants ...................................................................................................... 7  \nMeasures .......................................................................................................... 7  \nAnalysis ............................................................................................................ 7  \nResults ...................................................................................................................... 9  \nDiscussion .............................................................................................................. 10  \nReferences.............................................................................................................. 14  \nTables  \nTable 1. Sample Distribution by Relevant Study Variables .......................................................... 8  \nTable 2. Coefficients and Effect Sizes of the Change in Model Fit Based on the Power Polynomial Analysis ........................................................................................................... 10  \nFigures  \nFigure 1. Mean FYGPA by PSAT/NMSQT Selection Index Score............................................... 9  \nFigure 2. Mean FYGPA by PSAT/NMSQT Selection Index Score with linear and quadratic predicted values for the full sample..................................................................... 11  \nFigure 3. Mean FYGPA by PSAT/NMSQT Selection Index Score with linear and quadratic predicted values for the high scorers.................................................................. 12  \nPSAT/NMSQT-FYGPA Linearity  \nExecutive Summary  \nThere is a common misperception that test scores do not predict above a minimum threshold (Sackett, Borneman, & Connelly, 2008) . That is, test scores may ","cbCaisJCWCDcj1KY","https://ap.wps.com/l/cbCaisJCWCDcj1KY","pdf",2809383,"English","# Executive Summary\n# Introduction\n# Method\n## Participants\n## Measures\n# Results\n# Discussion\n# References","[{\"question\":\"What question does the study address about test score prediction?\",\"answer\":\"The study examines whether PSAT/NMSQT scores stop predicting performance after a minimum threshold, and whether higher scores remain related to first-year college GPA.\"},{\"question\":\"How is the relationship between PSAT/NMSQT and FYGPA analyzed?\",\"answer\":\"The report uses a regression approach to evaluate linearity, including exploration across the full Selection Index range and at the upper score end used for scholarship screening.\"},{\"question\":\"What do the results suggest about using PSAT/NMSQT for merit scholarship selection?\",\"answer\":\"Findings indicate a strong linear relationship for students with PSAT/NMSQT scores of 200 or higher, supporting PSAT/NMSQT as a screening tool for selecting merit scholarship winners.\"}]","PSAT/NMSQT-FYGPA Linearity - Research Report | PDF"]