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This is the supplementary material to the paper
„Web-Based and Mixed-Mode Cognitive Large-Scale Assessments: An Evaluation of Selection Bias, Measurement Bias, and Prediction Bias”

by Sabine Zinn, Uta Landrock, & Timo Gnambs
from 25-02-2020

The material comprises the source code by Timo and Sabine for
-	Data Preparation inclusively the imputation of missing values (`prepareData.R‘)
-	Data Analyses consisting of selectivity and nonresponse analysis, analysis for differential test functioning, and prediction models (`analyse.R’)
-	Functions for the analyses of differential test functioning (`dtf.R‘)
All software has been written using the statistical software environment R version 3.6.2.
For re-doing our analysis, the processing is as follows: `prepareData.R‘ -> `analyse.R’ (`dtf.R’ is loaded automatically during `analyse.R’)

Beware that we use data from the National Educational Panel Study (NEPS): Starting Cohort First-Year Students, doi:10.5157/NEPS:SC5:12.0.0. These data can be accessed on request (see https://www.neps-data.de/Data-Center/Data-Access).

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Web-Based and Mixed-Mode Cognitive Large-Scale Assessments: An Evaluation of Selection Bias, Measurement Bias, and Prediction Bias

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