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A multi-level, spatial regression model that accommodates inherently complex sampling frames is the basic method of analysis.
Analyses are weighted and standard errors are adjusted for the complex sampling design.
Properties of this new method under complex sampling designs, including informative selection, are analyzed.
Here the analysis of domain means under complex sampling designs is examined.
Adjusted for complex sampling design.
PIAAC uses a complex sampling strategy.
He has an expertise in large-scale assessment methodologies, particularly in the area of complex sampling.
PIAAC provides jackknife-based replicate weights to correctly account for the complex sampling design (OECD 2013a).
This type of methods split the complex sampling problem into simpler univariate cases.
Robust standard errors (jacknifed in the OLS models due to the complex sampling design) in parentheses.
Most challenging is the complex sampling probe which has been designed to cope with a combination of extremely high pressures and extremely low temperatures.
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