SELECTION STRATEGIES FOR BIVARIATE LOGLINEAR SMOOTHING MODELS AND THEIR EFFECTS ON NEAT EQUATING FUNCTIONS
نویسندگان
چکیده
منابع مشابه
Using PROC GENMOD for Loglinear Smoothing
AND INTRODUCTION The goal of smoothing is to replace an observed frequency distribution with a distribution that preserves some features of the observed data without the irregularities that are attributable to sampling. The type of smoothing covered in this paper involves the fitting of loglinear, Poisson-based models to discrete distributions. Loglinear smoothing can preserve a variety of diff...
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The Missing Data Assumptions of the Nonequivalent Groups With Anchor Test (NEAT) Design and Their Implications for Test Equating
As part of its nonprofit mission, ETS conducts and disseminates the results of research to advance quality and equity in education and assessment for the benefit of ETS's constituents and the field. To obtain a PDF or a print copy of a report, please visit: Abstract The nonequivalent groups with anchor test (NEAT) design involves missing data that are missing by design. Three popular equating m...
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ژورنال
عنوان ژورنال: ETS Research Report Series
سال: 2009
ISSN: 2330-8516
DOI: 10.1002/j.2333-8504.2009.tb02161.x