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It notes limitations in monitoring trends at short intervals, infrequent survey timing, and restricted flexibility for changing content. It also stresses weak utility for inferring policy effects, conducting international comparisons, and serving local stakeholders. The proposed path forward emphasizes annual rotating panels, funded supplemental topical modules, expanded content experimentation, improved spatial measures, and record linkage to administrative data.",{"@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/the-future-of-ncess-longitudinal-student-surveys-balancing-bold-vision-and-realism/590680/",{"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/the-future-of-ncess-longitudinal-student-surveys-balancing-bold-vision-and-realism/590680.png","ImageObject",300,407,{"name":92,"@type":93},"Stanley","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},"Why are NCES longitudinal student surveys valuable despite their limits?","Question",{"text":112,"@type":113},"They have long supported academic and applied education research by tracking students, families, and school contexts over long periods, enabling tests of theories about factors linked to educational outcomes.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"What analytic purposes do the surveys struggle to support?",{"text":117,"@type":113},"They are less useful for frequent routine monitoring, flexible topical changes, inferring policy effects from observational data, international comparisons, and for local stakeholder needs.",{"name":119,"@type":110,"acceptedAnswer":120},"What changes does the article recommend for NCES survey design?",{"text":121,"@type":113},"It recommends moving toward annual rotating panels, enabling outside investigators to field and fund supplemental topical modules, expanding collaboration to explore new content areas and observation modes, improving spatial measures, and pursuing record linkage to administrative data.","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},590680,1792208962,{"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":39,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":46,"preview_page_count":4},2336477405376,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","AERA Open  \nApril-June 2015, Vol. 1, No. 2, pp. 1–8 DOI: 10. 1177/2332858415587910 © The Author(s) 2015. [http://ero.sagepub.com](http://ero.sagepub.com)  \nThe Future of NCES’s Longitudinal Student Surveys: Balancing Bold Vision and Realism  \nJohn Robert Warren  \nUniversity of Minnesota  \nThe National Center for Education Statistics’(NCES) longitudinal student surveys have long been exceptionally useful for many purpose. Despite their many virtues, however, these surveys cannot be used to monitor trends at short time intervals, they do not allow for flexible changes to survey content, they cannot generally be used to infer policy effects, they are not useful for international comparisons, and they are of limited value to local stakeholders. NCES should consider doing to its longitudinal students surveys what the Census Bureau did to the decennial census long form and what NORC has long done for the General Social Survey: Move to annual rotating panels and allow outside investigators to field (and fund) supplemental topical modules. NCES should also continue to work with the research community to explore new survey content areas and modes of observation, improve the quality of spatial measures, and pursue record linkage to administrative data.  \nKeywords: longitudinal surveys; data infrastructure; National Center for Education Statistics; quantitative methodology  \nData from longitudinal surveys tracking children and adolescents over periods of decades or longer have proven extremely useful for developing and testing theories about the student-, school-, family-, and neighborhood-level factors that are associated with the development of educational outcomes over the course of young people’s early lives. These outcomes include academic achievement (i.e., test scores), schooling transitions (e.g., completing high school, entering college), and early career development (e.g., entering science, technology, engineering, and mathematics [STEM] fields) . Population-based studies also promote understanding of gender, racial/ethnic, and socioeconomic inequalities in these processes.  \nWith several prominent exceptions (e.g., the National Longitudinal Surveys of Youth, the National Longitudinal Study of Adolescent Health, the Beginning School Study), U.S. longitudinal surveys have been run by the National Center for Educational Statistics (NCES) . NCES’s longitudinal surveys of students typically feature a large random sample of students selected from within a random sample of schools; often they also feature oversamples of strategically chosen population groups or school types. Some surveys begin in early childhood, some in middle school, and some later. In all cases, students are followed periodically and fora decade (or so) . Most projects feature surveys of students, their parents, and school personnel, and many are supplemented with transcripts and other school records. Most also make available private or restricted versions of the data that  \nfeature, among other things, more precise geography and more detailed information.  \nNCES’s collection of longitudinal student surveys has long been an enormously valuable resource for academic and applied research on education. As a nation, we are fortunate to have them, and even maintaining the status quo would be valuable. But while giving full credit to the remarkable utility of NCES’s longitudinal surveys of students, I argue that the designs of these surveys are not as useful for some analytic purposes. In no particular order, these include the following:  \nRoutine monitoring. NCES’s longitudinal surveys describe populations of students in cross-section only at infrequent intervals (and then typically only in one grade) . For example, the population of American highschool sophomores can be described (after weighting) in cross-section in 1980 (from High School & Beyond), 1990 (from the National Educational Longitudinal Study of 1988), 2002 (from the Educational Longitudinal Study of 2002)","cbCaisBuF4twHFgT","https://ap.wps.com/l/cbCaisBuF4twHFgT","pdf",412667,"English","# The Future of NCES’s Longitudinal Student Surveys\n## Balancing bold vision and realism\n## Key limitations for common analytic purposes\n## Recommended design and data improvements","[{\"question\":\"Why are NCES longitudinal student surveys valuable despite their limits?\",\"answer\":\"They have long supported academic and applied education research by tracking students, families, and school contexts over long periods, enabling tests of theories about factors linked to educational outcomes.\"},{\"question\":\"What analytic purposes do the surveys struggle to support?\",\"answer\":\"They are less useful for frequent routine monitoring, flexible topical changes, inferring policy effects from observational data, international comparisons, and for local stakeholder needs.\"},{\"question\":\"What changes does the article recommend for NCES survey design?\",\"answer\":\"It recommends moving toward annual rotating panels, enabling outside investigators to field and fund supplemental topical modules, expanding collaboration to explore new content areas and observation modes, improving spatial measures, and pursuing record linkage to administrative data.\"}]","The Future of NCES’s Longitudinal Student Surveys - Balancing Bold Vision and Realism | PDF",1792070192]