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A simulation approach to estimate inclusion probabilities for PIAAC Germany

Simulationen zur Schätzung der Inklusionswahrscheinlichkeit bei PIAAC Deutschland
[journal article]

Gabler, Siegfried; Häder, Sabine; Kolb, Jan-Philipp

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Please use the following Persistent Identifier (PID) to cite this document:http://dx.doi.org/10.12758/mda.2014.011

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Abstract "In PIAAC (Programme for the International Assessment of Adult Competencies) inclusion probabilities have to be known for every respondent at each sampling stage in all participating countries. However, in some cases it is not possible to calculate inclusion probabilities for a sample survey analytically - although the underlying design is probabilistic. In such cases, simulation studies can help to estimate inclusion probabilities and thus ensure that the necessary basis for the calculation of design weights is available. In this section, we present a Monte Carlo simulation using the German sample data. During the selection process for PIAAC Germany an error had occurred. Because of that, it was not possible to determine the inclusion probabilities analytically. Therefore a simulation study with 10,000 runs of the erroneous selection process was set up. As a result it was possible to compute the inclusion probabilities for the sample of PIAAC Germany." (author's abstract)
Keywords survey research; data capture; sample; error; Federal Republic of Germany
Classification Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords Monte Carlo simulation; inclusion probabilities; PIAAC Germany
Document language English
Publication Year 2014
Page/Pages p. 267-280
Journal Methods, data, analyses : a journal for quantitative methods and survey methodology (mda), 8 (2014) 2
Issue topic The implementation of PIAAC in Germany
ISSN 1864-6956
Status Published Version; peer reviewed
Licence Creative Commons - Attribution