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          <titl xml:lang="en">DDI study level documentation for study 10.7802/2973 Replication Code: Varying the Content of Political Science Surveys to Improve the Survey Experience and Data Quality of Politically Disengaged Respondents. Journal of Survey Statistics and Methodology.</titl>
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        <titl xml:lang="en">Replication Code: Varying the Content of Political Science Surveys to Improve the Survey Experience and Data Quality of Politically Disengaged Respondents. Journal of Survey Statistics and Methodology.</titl>
        <parTitl xml:lang="de">Replication Code: Varying the Content of Political Science Surveys to Improve the Survey Experience and Data Quality of Politically Disengaged Respondents. Journal of Survey Statistics and Methodology.</parTitl>
        <IDNo xml:lang="en" agency="GESIS">10.7802/2973</IDNo><IDNo xml:lang="de" agency="GESIS">10.7802/2973</IDNo><IDNo xml:lang="en" agency="DOI">10.7802/2973</IDNo><IDNo xml:lang="de" agency="DOI">10.7802/2973</IDNo>
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        <AuthEnty affiliation="GESIS" xml:lang="en">Bartholomäus, Saskia
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        </AuthEnty><AuthEnty affiliation="GESIS" xml:lang="en">Gummer, Tobias
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      <abstract xml:lang="en">The ReplicationFile.html contains all analyses reported in the cited article. The published R.Rmd files allow users to replicate the results. To access the data sets required for replication, a data use agreement is necessary. To reproduce the analyses, please follow these steps:  1. Place all R.Rmd files in a subfolder named scripts. 2. Required R packages are listed and loaded in 01am.Rmd. Please review this file to ensure that all necessary packages are installed before proceeding. Note that running 01am.Rmd will automatically create all required subfolders for the workflow. 3. For the files 02ppt.Rmd and 04pgp.Rmd, include the path to required data sets in the first code chunk of each file. 4. After making any necessary adjustments, you only need to run 12ren.Rmd. This file will source all other scripts and reproduce the analyses and results as described in the project.  Required data sets: Bartholomäus, S., and Gummer, T. (2025). PrADePS Pretest (SDN-10.7802-2635; Version 1.0.0) [Data set]. https://doi.org/10.7802/2635 GESIS – Leibniz Institute for the Social Sciences (2024). GESIS Panel - Standard Edition (ZA5665; Version 54.0.0) [Data set]. https://doi.org/10.4232/1.14386  Respondents’ survey experience affects their answering and participation behavior and, consequently, measurement and nonresponse errors. Political science surveys especially suffer from biased estimates of political attitudes and behavior. Improving respondents’ survey experience by offering a more interesting and varied questionnaire poses a possible solution to this problem. In this regard, we break new ground by investigating whether improving politically disengaged respondents’ survey experience by including non-political survey content enhances data quality with respect to measurement and non-response errors in political science surveys. For this purpose, we conducted two survey experiments in a probability- and a nonprobability-based panel that varied the content of a political science questionnaire. This study provides the first evidence that offering a varied questionnaire rather than a purely political one lowered or even diminished the gap in measurement and nonresponse errors between politically engaged and disengaged respondents.</abstract><abstract xml:lang="de">The ReplicationFile.html contains all analyses reported in the cited article. The published R.Rmd files allow users to replicate the results. To access the data sets required for replication, a data use agreement is necessary. To reproduce the analyses, please follow these steps:  1. Place all R.Rmd files in a subfolder named scripts. 2. Required R packages are listed and loaded in 01am.Rmd. Please review this file to ensure that all necessary packages are installed before proceeding. Note that running 01am.Rmd will automatically create all required subfolders for the workflow. 3. For the files 02ppt.Rmd and 04pgp.Rmd, include the path to required data sets in the first code chunk of each file. 4. After making any necessary adjustments, you only need to run 12ren.Rmd. This file will source all other scripts and reproduce the analyses and results as described in the project.  Required data sets: Bartholomäus, S., and Gummer, T. (2025). PrADePS Pretest (SDN-10.7802-2635; Version 1.0.0) [Data set]. https://doi.org/10.7802/2635 GESIS – Leibniz Institute for the Social Sciences (2024). GESIS Panel - Standard Edition (ZA5665; Version 54.0.0) [Data set]. https://doi.org/10.4232/1.14386  Respondents’ survey experience affects their answering and participation behavior and, consequently, measurement and nonresponse errors. Political science surveys especially suffer from biased estimates of political attitudes and behavior. Improving respondents’ survey experience by offering a more interesting and varied questionnaire poses a possible solution to this problem. In this regard, we break new ground by investigating whether improving politically disengaged respondents’ survey experience by including non-political survey content enhances data quality with respect to measurement and non-response errors in political science surveys. For this purpose, we conducted two survey experiments in a probability- and a nonprobability-based panel that varied the content of a political science questionnaire. This study provides the first evidence that offering a varied questionnaire rather than a purely political one lowered or even diminished the gap in measurement and nonresponse errors between politically engaged and disengaged respondents.</abstract>
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