Stephanie Eckman
Biographic Data
| ID | 173225 |
|---|---|
| NAME | Stephanie Eckman |
| GIVEN NAMES | Stephanie |
| FAMILY NAME | Eckman |
| SIGNATURE | ECKMAN S |
| AFFILIATIONS | Institut für Arbeitsmarkt und Berufsforschung |
| ORCID | 0000-0002-8577-4085 |
| VERIFIED | Yes |
| TOTAL WORKS | 16 |
| TOTAL CITATIONS | 160 |
| AUTHOR COUNT | 15 |
| EDITOR COUNT | 1 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 6 |
A Comparison of Geosampling and Random Walk Methods for Household Sample Selection in Uttar Pradesh, India
Our research evaluates an innovative sampling technique for household surveys called “geosampling” which leverages recent advances in geographic information systems, computer vision algorithms, and satellite imagery. We compare geosampling to the random walk method. We conducted two surveys in Uttar Pradesh, India: one using geosampling (1,026 completes) and another using random walk (939 completes). We compare the two sampling techniques along t…
Comparing Estimates of News Consumption from Survey and Passively Collected Behavioral Data
Surveys are a vital tool for understanding public opinion and knowledge, but they can also yield biased estimates of behavior. Here we explore a popular and important behavior that is frequently measured in public opinion surveys: news consumption. Previous studies have shown that television news consumption is consistently overreported in surveys relative to passively collected behavioral data. We validate these earlier findings, showing that th…
Motivated Misreporting in Smartphone Surveys
Filter questions are used to administer follow-up questions to eligible respondents while allowing respondents who are not eligible to skip those questions. Filter questions can be asked in either the interleafed or the grouped formats. In the interleafed format, the follow-ups are asked immediately after the filter question; in the grouped format, follow-ups are asked after the filter question block. Underreporting can occur in the interleafed f…
Total Survey Error in Practice
This book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation, and analysis. It recognizes that survey data affects many public policy and business decisions and thus focuses on the framework for understanding and improving survey data quality. The book also addresses issues with data quality in official statistics and in social, opinion, and market research as these fields c…
Are Survey Nonrespondents Willing to Provide Consent to Use Administrative Records? Evidence from a Nonresponse Follow-Up Survey in Germany
To mitigate the effects of low survey participation rates and possible nonresponse bias in survey estimates, survey organizations often try to collect auxiliary information with which to evaluate and possibly adjust for differences between respondents and nonrespondents. Call record data and other forms of paradata are commonly used for this purpose, but these data tend to be only weakly correlated with the survey items. Follow-up surveys conduct…
Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias
The LISS online panel has made extra efforts to recruit and retain households that were not regular users of the Internet into the study. Households were provided with computers and/or Internet when necessary. Including these cases made the panel more representative of the Dutch population, by bringing in respondents who were more likely to be older, to live in single-person homes, and to have migration backgrounds. This article replicates five p…
Using Call-Level Interviewer Observations to Improve Response Propensity Models
Response propensities are increasingly being used during data collection for responsive survey design applications. Better propensity models, with more predictive power, are needed to guide responsive interventions during data collection. However, available data on both respondents and nonrespondents to improve these models are limited. This analysis investigates the usefulness of a new type of paradata, in the form of an interviewer observation …
Water on an urban planet: Urbanization and the reach of urban water infrastructure
Urban growth is increasing the demand for freshwater resources, yet surprisingly the water sources of the world's large cities have never been globally assessed, hampering efforts to assess the distribution and causes of urban water stress. We conducted the first global survey of the large cities’ water sources, and show that previous global hydrologic models that ignored urban water infrastructure significantly overestimated urban water stress. …
Do Interviewers Manipulate Responses to Filter Questions? Evidence from a Multilevel Approach
First published online: 2 September 2014
Assessing the Mechanisms of Misreporting to Filter Questions in Surveys
To avoid asking respondents questions that do not apply to them, surveys often use filter questions that determine routing into follow-up items. Filter questions can be asked in an interleafed format, in which follow-up questions are asked immediately after each relevant filter, or in a grouped format, in which follow-up questions are asked only after multiple filters have been administered. Most previous investigations of filter questions have f…
Undercoverage Rates and Undercoverage Bias in Traditional Housing Unit Listing
Many face-to-face surveys use field staff to create lists of housing units from which samples are selected. However, housing unit listing is vulnerable to errors of undercoverage: Some housing units are missed and have no chance to be selected. Such errors are not routinely measured and documented in survey reports. This study jointly investigates the rate of undercoverage, the correlates of undercoverage, and the bias in survey data due to under…
Can Interviewers Effectively Rate the Likelihood of Cases to Cooperate
This paper explores how well interviewers can judge which cases are likely to cooperate with a survey request and which are unlikely. Interviewers in a telephone survey rated the response likelihood of each case after every call they placed on a scale from zero to 100, where zero meant that the case would never cooperate and 100 meant that the case certainly would. Analyses of the ratings reveal that they do correlate with the cooperation rate am…
Motivated Underreporting in Screening Interviews
Creating Housing Unit Frames from Address Databases: Geocoding Precision and Net Coverage Rates
Survey researchers increasingly look to commercially available address databases to create survey frames. These databases offer obvious cost and speed advantages over in-field listing of housing units but rely on geocoding to associate the addresses with census geographies such as tracts and blocks. While much recent research has looked at the coverage of frames derived from these databases, none has specifically explored the contributions of geo…
Confirmation Bias in Housing Unit Listing
Using an experimental repeated listing design, this article demonstrates the presence of confirmation bias in dependent housing unit listing. We find evidence that when provided with an initial listing to update in the field, listers tend not to add missing units or delete inappropriate units. The listers are biased toward confirming the initial list as correct. This finding has implications not only for surveys that use dependent listing to crea…
Statistical Design and Estimation for the National Social Life, Health, and Aging Project
The complex sample design requires that the selection probabilities and the field implementation be accounted for in estimating population parameters. The data set contains weights to compensate for differential probabilities of selection and response rates among demographic groups. Analysts should use weights in constructing estimates from the survey and account for the complex sample design in estimating standard errors for survey estimates
Statistical Design and Estimation for the National Social Life, Health, and Aging Project
The complex sample design requires that the selection probabilities and the field implementation be accounted for in estimating population parameters. The data set contains weights to compensate for differential probabilities of selection and response rates among demographic groups. Analysts should use weights in constructing estimates from the survey and account for the complex sample design in estimating standard errors for survey estimates
Water on an urban planet: Urbanization and the reach of urban water infrastructure
Urban growth is increasing the demand for freshwater resources, yet surprisingly the water sources of the world's large cities have never been globally assessed, hampering efforts to assess the distribution and causes of urban water stress. We conducted the first global survey of the large cities’ water sources, and show that previous global hydrologic models that ignored urban water infrastructure significantly overestimated urban water stress. …
Assessing the Mechanisms of Misreporting to Filter Questions in Surveys
To avoid asking respondents questions that do not apply to them, surveys often use filter questions that determine routing into follow-up items. Filter questions can be asked in an interleafed format, in which follow-up questions are asked immediately after each relevant filter, or in a grouped format, in which follow-up questions are asked only after multiple filters have been administered. Most previous investigations of filter questions have f…
Comparing Estimates of News Consumption from Survey and Passively Collected Behavioral Data
Surveys are a vital tool for understanding public opinion and knowledge, but they can also yield biased estimates of behavior. Here we explore a popular and important behavior that is frequently measured in public opinion surveys: news consumption. Previous studies have shown that television news consumption is consistently overreported in surveys relative to passively collected behavioral data. We validate these earlier findings, showing that th…
Motivated Underreporting in Screening Interviews
Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias
The LISS online panel has made extra efforts to recruit and retain households that were not regular users of the Internet into the study. Households were provided with computers and/or Internet when necessary. Including these cases made the panel more representative of the Dutch population, by bringing in respondents who were more likely to be older, to live in single-person homes, and to have migration backgrounds. This article replicates five p…
Do Interviewers Manipulate Responses to Filter Questions? Evidence from a Multilevel Approach
First published online: 2 September 2014
Can Interviewers Effectively Rate the Likelihood of Cases to Cooperate
This paper explores how well interviewers can judge which cases are likely to cooperate with a survey request and which are unlikely. Interviewers in a telephone survey rated the response likelihood of each case after every call they placed on a scale from zero to 100, where zero meant that the case would never cooperate and 100 meant that the case certainly would. Analyses of the ratings reveal that they do correlate with the cooperation rate am…
Confirmation Bias in Housing Unit Listing
Using an experimental repeated listing design, this article demonstrates the presence of confirmation bias in dependent housing unit listing. We find evidence that when provided with an initial listing to update in the field, listers tend not to add missing units or delete inappropriate units. The listers are biased toward confirming the initial list as correct. This finding has implications not only for surveys that use dependent listing to crea…
Undercoverage Rates and Undercoverage Bias in Traditional Housing Unit Listing
Many face-to-face surveys use field staff to create lists of housing units from which samples are selected. However, housing unit listing is vulnerable to errors of undercoverage: Some housing units are missed and have no chance to be selected. Such errors are not routinely measured and documented in survey reports. This study jointly investigates the rate of undercoverage, the correlates of undercoverage, and the bias in survey data due to under…
Using Call-Level Interviewer Observations to Improve Response Propensity Models
Response propensities are increasingly being used during data collection for responsive survey design applications. Better propensity models, with more predictive power, are needed to guide responsive interventions during data collection. However, available data on both respondents and nonrespondents to improve these models are limited. This analysis investigates the usefulness of a new type of paradata, in the form of an interviewer observation …
A Comparison of Geosampling and Random Walk Methods for Household Sample Selection in Uttar Pradesh, India
Our research evaluates an innovative sampling technique for household surveys called “geosampling” which leverages recent advances in geographic information systems, computer vision algorithms, and satellite imagery. We compare geosampling to the random walk method. We conducted two surveys in Uttar Pradesh, India: one using geosampling (1,026 completes) and another using random walk (939 completes). We compare the two sampling techniques along t…
Are Survey Nonrespondents Willing to Provide Consent to Use Administrative Records? Evidence from a Nonresponse Follow-Up Survey in Germany
To mitigate the effects of low survey participation rates and possible nonresponse bias in survey estimates, survey organizations often try to collect auxiliary information with which to evaluate and possibly adjust for differences between respondents and nonrespondents. Call record data and other forms of paradata are commonly used for this purpose, but these data tend to be only weakly correlated with the survey items. Follow-up surveys conduct…
Creating Housing Unit Frames from Address Databases: Geocoding Precision and Net Coverage Rates
Survey researchers increasingly look to commercially available address databases to create survey frames. These databases offer obvious cost and speed advantages over in-field listing of housing units but rely on geocoding to associate the addresses with census geographies such as tracts and blocks. While much recent research has looked at the coverage of frames derived from these databases, none has specifically explored the contributions of geo…
Statistical Design and Estimation for the National Social Life, Health, and Aging Project
The complex sample design requires that the selection probabilities and the field implementation be accounted for in estimating population parameters. The data set contains weights to compensate for differential probabilities of selection and response rates among demographic groups. Analysts should use weights in constructing estimates from the survey and account for the complex sample design in estimating standard errors for survey estimates
Confirmation Bias in Housing Unit Listing
Using an experimental repeated listing design, this article demonstrates the presence of confirmation bias in dependent housing unit listing. We find evidence that when provided with an initial listing to update in the field, listers tend not to add missing units or delete inappropriate units. The listers are biased toward confirming the initial list as correct. This finding has implications not only for surveys that use dependent listing to crea…
Motivated Underreporting in Screening Interviews
Creating Housing Unit Frames from Address Databases: Geocoding Precision and Net Coverage Rates
Survey researchers increasingly look to commercially available address databases to create survey frames. These databases offer obvious cost and speed advantages over in-field listing of housing units but rely on geocoding to associate the addresses with census geographies such as tracts and blocks. While much recent research has looked at the coverage of frames derived from these databases, none has specifically explored the contributions of geo…
Undercoverage Rates and Undercoverage Bias in Traditional Housing Unit Listing
Many face-to-face surveys use field staff to create lists of housing units from which samples are selected. However, housing unit listing is vulnerable to errors of undercoverage: Some housing units are missed and have no chance to be selected. Such errors are not routinely measured and documented in survey reports. This study jointly investigates the rate of undercoverage, the correlates of undercoverage, and the bias in survey data due to under…
Can Interviewers Effectively Rate the Likelihood of Cases to Cooperate
This paper explores how well interviewers can judge which cases are likely to cooperate with a survey request and which are unlikely. Interviewers in a telephone survey rated the response likelihood of each case after every call they placed on a scale from zero to 100, where zero meant that the case would never cooperate and 100 meant that the case certainly would. Analyses of the ratings reveal that they do correlate with the cooperation rate am…
Water on an urban planet: Urbanization and the reach of urban water infrastructure
Urban growth is increasing the demand for freshwater resources, yet surprisingly the water sources of the world's large cities have never been globally assessed, hampering efforts to assess the distribution and causes of urban water stress. We conducted the first global survey of the large cities’ water sources, and show that previous global hydrologic models that ignored urban water infrastructure significantly overestimated urban water stress. …
Do Interviewers Manipulate Responses to Filter Questions? Evidence from a Multilevel Approach
First published online: 2 September 2014
Assessing the Mechanisms of Misreporting to Filter Questions in Surveys
To avoid asking respondents questions that do not apply to them, surveys often use filter questions that determine routing into follow-up items. Filter questions can be asked in an interleafed format, in which follow-up questions are asked immediately after each relevant filter, or in a grouped format, in which follow-up questions are asked only after multiple filters have been administered. Most previous investigations of filter questions have f…
Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias
The LISS online panel has made extra efforts to recruit and retain households that were not regular users of the Internet into the study. Households were provided with computers and/or Internet when necessary. Including these cases made the panel more representative of the Dutch population, by bringing in respondents who were more likely to be older, to live in single-person homes, and to have migration backgrounds. This article replicates five p…
Using Call-Level Interviewer Observations to Improve Response Propensity Models
Response propensities are increasingly being used during data collection for responsive survey design applications. Better propensity models, with more predictive power, are needed to guide responsive interventions during data collection. However, available data on both respondents and nonrespondents to improve these models are limited. This analysis investigates the usefulness of a new type of paradata, in the form of an interviewer observation …
Are Survey Nonrespondents Willing to Provide Consent to Use Administrative Records? Evidence from a Nonresponse Follow-Up Survey in Germany
To mitigate the effects of low survey participation rates and possible nonresponse bias in survey estimates, survey organizations often try to collect auxiliary information with which to evaluate and possibly adjust for differences between respondents and nonrespondents. Call record data and other forms of paradata are commonly used for this purpose, but these data tend to be only weakly correlated with the survey items. Follow-up surveys conduct…
Total Survey Error in Practice
This book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation, and analysis. It recognizes that survey data affects many public policy and business decisions and thus focuses on the framework for understanding and improving survey data quality. The book also addresses issues with data quality in official statistics and in social, opinion, and market research as these fields c…
Motivated Misreporting in Smartphone Surveys
Filter questions are used to administer follow-up questions to eligible respondents while allowing respondents who are not eligible to skip those questions. Filter questions can be asked in either the interleafed or the grouped formats. In the interleafed format, the follow-ups are asked immediately after the filter question; in the grouped format, follow-ups are asked after the filter question block. Underreporting can occur in the interleafed f…
A Comparison of Geosampling and Random Walk Methods for Household Sample Selection in Uttar Pradesh, India
Our research evaluates an innovative sampling technique for household surveys called “geosampling” which leverages recent advances in geographic information systems, computer vision algorithms, and satellite imagery. We compare geosampling to the random walk method. We conducted two surveys in Uttar Pradesh, India: one using geosampling (1,026 completes) and another using random walk (939 completes). We compare the two sampling techniques along t…
Comparing Estimates of News Consumption from Survey and Passively Collected Behavioral Data
Surveys are a vital tool for understanding public opinion and knowledge, but they can also yield biased estimates of behavior. Here we explore a popular and important behavior that is frequently measured in public opinion surveys: news consumption. Previous studies have shown that television news consumption is consistently overreported in surveys relative to passively collected behavioral data. We validate these earlier findings, showing that th…
Computer Science (12 works) · Psychology (10 works) · Survey Methodology and Nonresponse (10 works) · Mathematics (9 works) · Statistics (9 works) · Sociology (8 works) · Business (6 works) · Economics (5 works) · Geography (5 works) · Econometrics (4 works)