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Somers, Marie-Andrée; Zhu, Pei; Jacob, Robin; Bloom, Howard – MDRC, 2013
In this paper, we examine the validity and precision of two nonexperimental study designs (NXDs) that can be used in educational evaluation: the comparative interrupted time series (CITS) design and the difference-in-difference (DD) design. In a CITS design, program impacts are evaluated by looking at whether the treatment group deviates from its…
Descriptors: Research Design, Educational Assessment, Time, Intervals
Kuo, Lynn; Cohen, Michael P. – 1993
Bayesian methods for estimating dose response curves in quantal bioassay are studied. A linearized multi-stage model is assumed for the shape of the curves. A Gibbs sampling approach with data augmentation is employed to compute the Bayes estimates. In addition, estimation of the "relative additional risk" and the "risk specific…
Descriptors: Bayesian Statistics, Equations (Mathematics), Estimation (Mathematics), Mathematical Models
Katseli, Louka T.; Lucas, Robert E. B.; Xenogiani, Theodora – OECD Publishing (NJ1), 2006
This report evaluates the evidence on how migration may promote or hinder development in countries of origin, and explores possible win-win solutions for both sending and receiving countries. The analysis of recent OECD data of foreign-born nationals into Europe documents the presence of multiple migration patterns and reveals that the EU lags…
Descriptors: Human Capital, Foreign Countries, Migration Patterns, Human Resources
Schafer, William D.; Papapolydorou, Maria; Rahman, Taslima; Parker, Lori – Online Submission, 2005
Possible relationships between five test examiner characteristics (gender, race, tenure, experience as a test administrator, and experience as a test developer or scorer) and six student achievement scores (reading, writing, language usage, mathematics, science, and social studies) were studied at the school level in a statewide assessment. The…
Descriptors: Intervals, Academic Achievement, Test Validity, Examiners
Huynh, Huynh; Saunders, Joseph C. – 1980
A basic technical framework is provided for the design and use of mastery tests. The Mastery Testing Project (MTP) prepared this framework using advanced mathematics supplemented with computer simulation based on real test data collected by the South Carolina Statewide Testing Program. The MTP focused on basic technical issues encountered in using…
Descriptors: Ability Identification, Annotated Bibliographies, Bayesian Statistics, Computer Assisted Testing