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Titlebook: Advancing Human Assessment; The Methodological, Randy E. Bennett,Matthias von Davier Book‘‘‘‘‘‘‘‘ 2017 Educational Testing Service 2017 Ed

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Anatoly T. Fomenko,Andrei Konyaevfit educational measurement organization are explored, with particular attention to the role of research. Finally, the principles underlying Section 501(c)3 and those of ETS’s progenitors are brought together to suggest what it means to be a nonprofit educational measurement organization in the twenty-first century.
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Reduced Form Credit Risk Modelseloped over more than 30 years of conducting longitudinal studies based on national samples. In addition to describing these innovations, it provides their rationale and presents relevant empirical results.
发表于 2025-3-24 05:40:28 | 显示全部楼层
Continuous-Time Asset Pricing Theory the vigorous program of evaluation research conducted at ETS in the 1960s and 1970s, which helped lay the foundation for this fledgling field. This work developed new viewpoints, techniques, and skills for systematically assessing educational programs and led to the creation of principles for program evaluation that still appear relevant today.
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Market Informational Efficiencyision of investigating intellectual and personal qualities. This chapter covers research on representational competence; parental influences, migration, and measurement; cognitive, personality, and social development of infants and young children; and cognitive, personality, and social development from infancy to adolescence.
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Research on Statistics of operational activities, the developments often had broader implications, not only for the testing industry as a whole but also for general statistical practice. This chapter offers a comprehensive historical account of statistical research at ETS, with particular emphasis on those topics that are not covered in other chapters.
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Large-Scale Group-Score Assessmentnal achievement testing programs, ones that assess large populations (e.g., the United States as a whole, an individual state), use population-defining variables (e.g., racial/ethnic, gender), and include consideration of other policy-relevant factors (e.g., the number of hours watching TV, number of mathematics courses taken).
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