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Zheng, Xiaying; Yang, Ji Seung – Measurement: Interdisciplinary Research and Perspectives, 2021
The purpose of this paper is to briefly introduce two most common applications of multiple group item response theory (IRT) models, namely detecting differential item functioning (DIF) analysis and nonequivalent group score linking with a simultaneous calibration. We illustrate how to conduct those analyses using the "Stata" item…
Descriptors: Item Response Theory, Test Bias, Computer Software, Statistical Analysis
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Hursh, David – Policy Futures in Education, 2017
In this interview with David Hursh, Bob Lingard comments on his current and/or recently completed research projects in respect to new modes of global governance in schooling and the complementarity between international large scale assessments and national testing. He also looks at a project that, in conjunction with school leaders, teachers,…
Descriptors: Educational Policy, Interviews, Commercialization, Foreign Countries
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Lee, Taehun; Cai, Li – Journal of Educational and Behavioral Statistics, 2012
Model-based multiple imputation has become an indispensable method in the educational and behavioral sciences. Mean and covariance structure models are often fitted to multiply imputed data sets. However, the presence of multiple random imputations complicates model fit testing, which is an important aspect of mean and covariance structure…
Descriptors: Statistical Inference, Structural Equation Models, Goodness of Fit, Statistical Analysis
Homel, Jacqueline; Mavisakalyan, Astghik; Nguyen, Ha Trong; Ryan, Chris – National Centre for Vocational Education Research (NCVER), 2012
This document was produced by the authors based on their research for the report "School Completion: What We Learn from Different Measures of Family Background," and is an added resource for further information. This study relies on two main sources to analyse how Year 12 completion is related to disadvantage: the Longitudinal Surveys of…
Descriptors: High School Students, Graduation, Predictor Variables, Socioeconomic Status
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Burns, Shelley, Ed.; Wang, Xiaolei, Ed.; Henning, Alexandra, Ed. – National Center for Education Statistics, 2011
Since its inception, the National Center for Education Statistics (NCES) has been committed to the practice of documenting its statistical methods for its customers and of seeking to avoid misinterpretation of its published data. The reason for this policy is to assure customers that proper statistical standards and techniques have been observed,…
Descriptors: National Surveys, Data Processing, Statistical Data, Data Collection
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Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: School Statistics, Definitions, Tables (Data), Longitudinal Studies
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Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2012
The 2011 edition of the "Digest of Education Statistics" is the 47th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: Educational Research, Data Collection, Data Analysis, Error Patterns
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Nash, Roy – British Educational Research Journal, 2005
The influence of Bhaskar's critical realism has become increasingly evident in the debate on the nature of educational research. This philosophy, dedicated to the overthrow of positivist doctrines, in particular those of empiricism, nominalism, and causation as constant conjunction, is the foundation of contemporary proposals for new perspectives…
Descriptors: Statistical Analysis, Realism, Educational Attainment, Educational Research
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Schneider, Thorsten – Electronic Journal of e-Learning, 2004
Selecting elite students out of a huge collective is a difficult task. The main problem is to provide automated processes to reduce human work. ECMS (Educational Contest Management System) is an online tool approach to help--fully or partly automated--with the task of selecting such elite students out of a mass of candidates. International tests…
Descriptors: Management Systems, Selective Admission, Admission Criteria, Automation