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A model estimates the probability that pairs of students become classmates based on student characteristics, allowing direct comparison between actual assignments and random assignment baselines. Results show systematic deviations that group similar students, amplified in Magnet schools, with evidence of administrator sorting using attributes not typically observable by researchers. Findings inform researchers using value-added modeling and indicate stability across racial, income, and geographic school characteristics.",{"@graph":69,"@context":122},[70,84,105],{"@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/patterns-in-student-assignment-to-elementary-school-classrooms-part-51/601665/",{"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/patterns-in-student-assignment-to-elementary-school-classrooms-part-51/601665.png","ImageObject",300,407,{"name":92,"@type":93},"anakgang17","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-15",true,{"@type":102,"interactionType":103,"userInteractionCount":19},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the document’s main goal regarding student assignments?","Question",{"text":112,"@type":113},"It aims to understand aggregate patterns in how elementary school students are assigned to classroom settings, based on observed assignment outcomes.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How do the authors model whether two students are classmates?",{"text":117,"@type":113},"They estimate the probability that a pair of students are classmates as a function of the characteristics of that pair, then compare observed outcomes to what random assignment would predict.",{"name":119,"@type":110,"acceptedAnswer":120},"What key patterns differ from random assignment, and where are deviations strongest?",{"text":121,"@type":113},"Classroom assignments tend to deviate from random assignment by grouping similar students, and these deviations are greatly magnified in Magnet schools.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},601665,1792619821,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":19,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"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":144,"read_time":145},962090883568,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","education policy analysis archives  \nA peer-reviewed, independent, open access, multilingual journal  \nArizona State University  \n\n| Volume 21 Number 51 June 10th, 2013 | ISSN 1068-2341 |\n| --- | --- |\n\nPatterns in Student Assignment to Elementary School  \nClassrooms  \nRyan Bosworth  \nUtah State University  \nHao Li  \nWashington State University  \nUnited States of America  \nCitation: Bosworth, R. & Li, H. (2013). Patterns in Student Assignment to Elementary School Classrooms. Education Policy Analysis Archives, 21 (51) Retrieved [date], from  \n[http://epaa.asu.edu/ojs/article/view/1297](http://epaa.asu.edu/ojs/article/view/1297)  \nAbstract: In an effort to better understand aggregate patterns in the way elementary school students are assigned to classes, we conduct a careful analysis of observed classroom assignment outcomes in the 5th grade in North Carolina elementary schools. First, we model the probability that a pair of students are classmates as a function of the characteristics of that pair of students. This novel methodological technique enables us to directly observe the degree to which actual assignment patterns differ from what might be expected under random assignment for a wide variety of student characteristics. Second, we analyze patterns in classroom assignment and discuss the implications of these patterns. We show that classroom assignments tend to deviate from random assignment in away that tends to group similar students and that these deviations tend to be greatly magnified in Magnet schools. Importantly, we find evidence that administrators sort students based on attributes not normally observable by researchers. These findings have important implications for researchers using value-added modeling (VAM) techniques. Finally, we find that classroom assignment patterns are generally stable across the racial, income, and geographic characteristics of schools.  \nKeywords: classroom composition; teacher assignment; value-added modeling  \nJournal website: [http://epaa.asu.edu/ojs/ ](http://epaa.asu.edu/ojs/  Manuscript)[ Manuscript](http://epaa.asu.edu/ojs/  Manuscript) received: 12/28/2012  \nFacebook: /EPAAA Revisions received: 04/24/2013  \nTwitter: @epaa_aape Accepted: 04/24/2013  \nEducation Policy Analysis Archives Vol. 21 No. 51 2  \nPatrones de asignación de estudiantes en aulas de escuelas primarias  \nResumen: En un esfuerzo por comprender mejor los patrones agregados sobre la manera en que seasignan los estudiantes a determinadas clases, llevamos a cabo un análisis detallado de los resultados de asignación a aulas de 5 º grado en las escuelas primarias de Carolina del Norte. En primer lugar, se creo un modelo sobres la probabilidad de que un par de los estudiantes sean compañeros de claseen función de las características de ese par de estudiantes. Esta novedosa técnica metodológica nos permite observar directamente el grado en que los patrones de asignación reales difieren de lo que cabría esperar con una asignación al azar para una amplia variedad de características de los estudiantes. En segundo lugar, analizamos los patrones de asignación de clase y discutimos las implicaciones de estos patrones. Se demuestra que las asignaciones a ciertas aulas tienden a desviarse de la asignación aleatoria de una manera que tiende al grupo de estudiantes similares y que estas desviaciones tienden a ser ampliada en gran medida en las escuelas magnet. Es importante destacar, que encontramos evidencia de que los administradores asignaban estudiantes utilizando atributos que normalmente no son atendidos por investigadores. Estos resultados tienen consecuencias importantes para los investigadores que utilizan técnicas de modelado de valor agregado (VAM) . Por último, encontramos con que los patrones de asignación a aulas son generalmente estables tomando las características raciales, de ingresos, y geográficas de las escuelas.  \nPalabras clave: composición de aulas; asignación de docentes; modelos de valor agregado  \nPadrõe","cbCaiesskcuCuclL","https://ap.wps.com/l/cbCaiesskcuCuclL","pdf",303653,26,"English","# Abstract\n## Introduction\n## Methods (pair-classmate probability model)\n## Findings on assignment deviations and Magnet schools\n## Implications for value-added modeling (VAM)\n## Stability across race, income, and geography","[{\"question\":\"What is the document’s main goal regarding student assignments?\",\"answer\":\"It aims to understand aggregate patterns in how elementary school students are assigned to classroom settings, based on observed assignment outcomes.\"},{\"question\":\"How do the authors model whether two students are classmates?\",\"answer\":\"They estimate the probability that a pair of students are classmates as a function of the characteristics of that pair, then compare observed outcomes to what random assignment would predict.\"},{\"question\":\"What key patterns differ from random assignment, and where are deviations strongest?\",\"answer\":\"Classroom assignments tend to deviate from random assignment by grouping similar students, and these deviations are greatly magnified in Magnet schools.\"}]","Patterns in Student Assignment to Elementary School Classrooms - Part 51 | PDF",1792093200,66]