Barbara Felderer
Biographic Data
| ID | 103322 |
|---|---|
| NAME | Barbara Felderer |
| GIVEN NAMES | Barbara |
| FAMILY NAME | Felderer |
| SIGNATURE | FELDERER B |
| AFFILIATIONS | GESIS - Leibniz Institute for the Social Sciences |
| ORCID | 0000-0002-1717-0415 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 42 |
| AUTHOR COUNT | 9 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 3 |
Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Population Benchmarks
Previous studies have shown many instances where nonprobability surveys were not as accurate as probability surveys. However, because of their cost advantages, nonprobability surveys are widely used, and there is much debate over the appropriate settings for their use. To contribute to this debate, we evaluate the accuracy of nonprobability surveys by investigating the common claim that estimates of relationships are more robust to sample bias th…
Asking for Traces
Digital trace data are increasingly used in the social sciences. Given the risks associated with data access via application programming interfaces (APIs) as well as ethical discussions around the use of such data, data donations have been proposed as a methodologically reliable and ethically sound way of collecting digital trace data. While data donations have many advantages, study participants may be reluctant to share their data, for example,…
What about the Less IT Literate? A Comparison of Different Postal Recruitment Strategies to an Online Panel of the General Population
Even though the proportion of individuals who are not equipped to participate in online surveys is constantly decreasing, many surveys face an under-representation of individuals who do not feel IT literate enough to participate. Using experimental data from a probability-based online panel, we study which recruitment survey mode strategy performs best in recruiting less IT-literate persons for an online panel. The sampled individuals received po…
Using Double Machine Learning to Understand Nonresponse in the Recruitment of a Mixed-Mode Online Panel
Survey scientists increasingly face the problem of high-dimensionality in their research as digitization makes it much easier to construct high-dimensional (or “big”) data sets through tools such as online surveys and mobile applications. Machine learning methods are able to handle such data, and they have been successfully applied to solve predictive problems. However, in many situations, survey statisticians want to learn about causal relations…
Acceptance of the Automated Online Collection of Geographical Information
The ease at which online paradata can be captured in web surveys seems to increase social researchers' desire to collect such data. Yet little attention is paid to whether respondents actually approve of their collection. This article, therefore, studies online survey respondents' acceptance of automatically collecting their geographical locations. In wave 4 of the German Internet Panel, we asked respondents for their consent to automatically tra…
Recruiting a Probability-Based Online Panel via Postal Mail
Once recruited, probability-based online panels have proven to enable high-quality and high-frequency data collection. In ever faster-paced societies and, recently, in times of pandemic lockdowns, such online survey infrastructures are invaluable to social research. In absence of email sampling frames, one way of recruiting such a panel is via postal mail. However, few studies have examined how to best approach and then transition sample members …
Respondent commitment
Answering questions completely, accurately and honestly is not always the top priority for survey respondents. How might researchers motivate respondents to be more conscientious? One possibility is to elicit agreement from respondents to work hard and provide complete and accurate information. In their pioneering work in the 1970s and 80s, Charles Cannell and his colleagues applied well-established research in sociology and social psychology to …
The Effect of Differential Incentives on Attrition Bias
Respondent incentives are widely used to increase response rates, but their effect on nonresponse bias has not been researched as much. To contribute to the research, we analyze an incentive experiment embedded within the third wave of the German household panel survey "Panel Labor Market and Social Security" conducted by the German Institute for Employment Research. Our question is whether attrition bias differs in two incentive plans. In partic…
Are Incentive Effects on Response Rates and Nonresponse Bias in Large-scale, Face-to-face Surveys Generalizable to Germany? Evidence from Ten Experiments
In survey research, a consensus has grown regarding the effectiveness of incentives encouraging survey participation across different survey modes and target populations. Most of this research has been based on surveys from the United States, whereas few studies have provided evidence that these results can be generalized to other contexts. This paper is the first to present comprehensive information concerning the effects of incentives on respon…
Are Incentive Effects on Response Rates and Nonresponse Bias in Large-scale, Face-to-face Surveys Generalizable to Germany? Evidence from Ten Experiments
In survey research, a consensus has grown regarding the effectiveness of incentives encouraging survey participation across different survey modes and target populations. Most of this research has been based on surveys from the United States, whereas few studies have provided evidence that these results can be generalized to other contexts. This paper is the first to present comprehensive information concerning the effects of incentives on respon…
Recruiting a Probability-Based Online Panel via Postal Mail
Once recruited, probability-based online panels have proven to enable high-quality and high-frequency data collection. In ever faster-paced societies and, recently, in times of pandemic lockdowns, such online survey infrastructures are invaluable to social research. In absence of email sampling frames, one way of recruiting such a panel is via postal mail. However, few studies have examined how to best approach and then transition sample members …
The Effect of Differential Incentives on Attrition Bias
Respondent incentives are widely used to increase response rates, but their effect on nonresponse bias has not been researched as much. To contribute to the research, we analyze an incentive experiment embedded within the third wave of the German household panel survey "Panel Labor Market and Social Security" conducted by the German Institute for Employment Research. Our question is whether attrition bias differs in two incentive plans. In partic…
Acceptance of the Automated Online Collection of Geographical Information
The ease at which online paradata can be captured in web surveys seems to increase social researchers' desire to collect such data. Yet little attention is paid to whether respondents actually approve of their collection. This article, therefore, studies online survey respondents' acceptance of automatically collecting their geographical locations. In wave 4 of the German Internet Panel, we asked respondents for their consent to automatically tra…
Respondent commitment
Answering questions completely, accurately and honestly is not always the top priority for survey respondents. How might researchers motivate respondents to be more conscientious? One possibility is to elicit agreement from respondents to work hard and provide complete and accurate information. In their pioneering work in the 1970s and 80s, Charles Cannell and his colleagues applied well-established research in sociology and social psychology to …
Asking for Traces
Digital trace data are increasingly used in the social sciences. Given the risks associated with data access via application programming interfaces (APIs) as well as ethical discussions around the use of such data, data donations have been proposed as a methodologically reliable and ethically sound way of collecting digital trace data. While data donations have many advantages, study participants may be reluctant to share their data, for example,…
What about the Less IT Literate? A Comparison of Different Postal Recruitment Strategies to an Online Panel of the General Population
Even though the proportion of individuals who are not equipped to participate in online surveys is constantly decreasing, many surveys face an under-representation of individuals who do not feel IT literate enough to participate. Using experimental data from a probability-based online panel, we study which recruitment survey mode strategy performs best in recruiting less IT-literate persons for an online panel. The sampled individuals received po…
Are Incentive Effects on Response Rates and Nonresponse Bias in Large-scale, Face-to-face Surveys Generalizable to Germany? Evidence from Ten Experiments
In survey research, a consensus has grown regarding the effectiveness of incentives encouraging survey participation across different survey modes and target populations. Most of this research has been based on surveys from the United States, whereas few studies have provided evidence that these results can be generalized to other contexts. This paper is the first to present comprehensive information concerning the effects of incentives on respon…
The Effect of Differential Incentives on Attrition Bias
Respondent incentives are widely used to increase response rates, but their effect on nonresponse bias has not been researched as much. To contribute to the research, we analyze an incentive experiment embedded within the third wave of the German household panel survey "Panel Labor Market and Social Security" conducted by the German Institute for Employment Research. Our question is whether attrition bias differs in two incentive plans. In partic…
Respondent commitment
Answering questions completely, accurately and honestly is not always the top priority for survey respondents. How might researchers motivate respondents to be more conscientious? One possibility is to elicit agreement from respondents to work hard and provide complete and accurate information. In their pioneering work in the 1970s and 80s, Charles Cannell and his colleagues applied well-established research in sociology and social psychology to …
Recruiting a Probability-Based Online Panel via Postal Mail
Once recruited, probability-based online panels have proven to enable high-quality and high-frequency data collection. In ever faster-paced societies and, recently, in times of pandemic lockdowns, such online survey infrastructures are invaluable to social research. In absence of email sampling frames, one way of recruiting such a panel is via postal mail. However, few studies have examined how to best approach and then transition sample members …
Using Double Machine Learning to Understand Nonresponse in the Recruitment of a Mixed-Mode Online Panel
Survey scientists increasingly face the problem of high-dimensionality in their research as digitization makes it much easier to construct high-dimensional (or “big”) data sets through tools such as online surveys and mobile applications. Machine learning methods are able to handle such data, and they have been successfully applied to solve predictive problems. However, in many situations, survey statisticians want to learn about causal relations…
Acceptance of the Automated Online Collection of Geographical Information
The ease at which online paradata can be captured in web surveys seems to increase social researchers' desire to collect such data. Yet little attention is paid to whether respondents actually approve of their collection. This article, therefore, studies online survey respondents' acceptance of automatically collecting their geographical locations. In wave 4 of the German Internet Panel, we asked respondents for their consent to automatically tra…
What about the Less IT Literate? A Comparison of Different Postal Recruitment Strategies to an Online Panel of the General Population
Even though the proportion of individuals who are not equipped to participate in online surveys is constantly decreasing, many surveys face an under-representation of individuals who do not feel IT literate enough to participate. Using experimental data from a probability-based online panel, we study which recruitment survey mode strategy performs best in recruiting less IT-literate persons for an online panel. The sampled individuals received po…
Asking for Traces
Digital trace data are increasingly used in the social sciences. Given the risks associated with data access via application programming interfaces (APIs) as well as ethical discussions around the use of such data, data donations have been proposed as a methodologically reliable and ethically sound way of collecting digital trace data. While data donations have many advantages, study participants may be reluctant to share their data, for example,…
Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates across Probability and Nonprobability Surveys with Population Benchmarks
Previous studies have shown many instances where nonprobability surveys were not as accurate as probability surveys. However, because of their cost advantages, nonprobability surveys are widely used, and there is much debate over the appropriate settings for their use. To contribute to this debate, we evaluate the accuracy of nonprobability surveys by investigating the common claim that estimates of relationships are more robust to sample bias th…
Survey Methodology and Nonresponse (8 works) · Computer Science (7 works) · Psychology (5 works) · Statistics (5 works) · Econometrics (4 works) · German (4 works) · Mathematics (4 works) · Data collection (3 works) · Geography (3 works) · Medicine (3 works)