NCES Report Library

Year Month Title Document Direct Links to Texts
2018 June Taking a Longitudinal View of Administrative Educational Data Expert Panel Full Text
Executive Summary
2018 March Clear Data Descriptions in NCES Reports Expert Panel  
2018 January Study and Survey Recruitment Planning and Materials Expert Panel Full Text
Executive Summary
2018 January Roundtable on Imputation in Government Surveys Roundtable Full Text
Executive Summary
Individual Slides
2017 January Study Design for Postsecondary Sample Surveys Expert Panel Full Text
Executive Summary
2016 December Integrity, Independence, and Innovation: The Future of NCES Expert Panel Full Text
2012 January Comparable Wage Index Expert Panel Full Text
Executive Summary
2011 March Configuration and Data Integration for Longitudinal Studies Expert Panel Full Text
Executive Summary
2011 February Confidentiality - Data Swapping Expert Panel Full Text
2008 January Effect Size Expert Panel Full Text
Executive Summary
2008 January Non-Response Bias Analysis Expert Panel Full Text
Executive Summary
2008 January Computer Adaptive Testing for Longitudinal Studies Task Force Full Text
Executive Summary

 

NCES - NISS Expert Panels and Research Reports:  Education Statistics

Working through the Education Statistics Services Institute-Statistics (ESSI-Stat) and NAEP Education Statistics Services Institute (NESSI), NISS has convened a series of task forces to bring nationwide expertise to bear on problems of importance to the National Center for Education Statistics (NCES). 

Case Study:  Analysis, Exploration and Inference in Large Educational Data Set

Educational policy at the national, state, school district and even school levels depends on the large education data bases that are publicly available, especially those of the National Center for Education Statistics (NCES). Making sure that interpretations of these data are accurate and that the methodology used to report and to draw inferences do so correctly is essential to a solid basis for setting educational policy and standards. Making sure that appropriate methodology is available to the users of these data is critical.