Ashley Amaya
Biographic Data
| ID | 196692 |
|---|---|
| NAME | Ashley Amaya |
| GIVEN NAMES | Ashley |
| FAMILY NAME | Amaya |
| SIGNATURE | AMAYA A |
| AFFILIATIONS | RTI International, Washington, DC, USA |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 35 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 3 |
Does Undercoverage on the U.S. Address-based Sampling Frame Translate to Coverage Bias
Address-based sampling (ABS) refers to the use a list of addresses derived from the U.S. Postal Service’s Computerized Delivery Sequence File as a sampling frame. While most residential addresses are included on an ABS frame, it still suffers from undercoverage. Undercoverage is problematic only if the uncovered units have different attributes than covered units. In this article, we assess the risk of observing coverage bias on a variety of univa…
Estimating Net Coverage of Segments in ABS Frames
The literature has no standard method for estimating the coverage of area probability segments in address-based frames. Versatility is desirable for different study needs, but standardization improves comparability. Many segment estimates are simple ratios of counts of frame addresses to control totals, or net coverage ratios. Challenges to segment ratios include geocoding error, outdated control totals, errors in the address frame, and systemati…
The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey
Previous research has shown that increasing the size of incentives can increase response rates for probability-based, cross-sectional surveys. However, the effects of incentives on web panels have not been extensively studied. We sought to answer the question: What is the effect of larger, postpaid incentives on (1) response, (2) data quality, and (3) nonresponse bias for individuals in a web panel? We analyzed data from the 2015 and 2016 Nationa…
New Data Sources in Social Science Research: Things to Know Before Working With Reddit Data
Social media are becoming more popular as a source of data for social science researchers. These data are plentiful and offer the potential to answer new research questions at smaller geographies and for rarer subpopulations. When deciding whether to use data from social media, it is useful to learn as much as possible about the data and its source. Social media data have properties quite different from those with which many social scientists are…
Predicting Voting Behavior Using Digital Trace Data
A major concern arising from ubiquitous tracking of individuals’ online activity is that algorithms may be trained to predict personal sensitive information, even for users who do not wish to reveal such information. Although previous research has shown that digital trace data can accurately predict sociodemographic characteristics, little is known about the potentials of such data to predict sensitive outcomes. Against this background, we invest…
Nonresponse Bias for Univariate and Multivariate Estimates of Social Activities and Roles
Nonresponse bias is a fundamental concern for survey researchers, as understanding when and to what extent it occurs is critical to producing accurate statistics. According to the social integration hypothesis, individuals who participate in a broad range of social activities and roles should be more likely to respond to surveys (Goyder 1987; Groves and Couper 1998). As a result, prevalence estimates of social activities and roles should be upwar…
Where to Start: An Evaluation of Primary Data-Collection Modes in an Address-Based Sampling Design
As address-based sampling becomes increasingly popular for multimode surveys, researchers continue to refine data-collection best practices. While much work has been conducted to improve efficiency within a given mode, additional research is needed on how multimode designs can be optimized across modes. Previous research has not evaluated the consequences of mode sequencing on multimode mail and phone surveys, nor has significant research been co…
Improving the Utility of the DSF Address-based Frame through Ancillary Information
Survey researchers have recently begun using the U.S. Postal Service Delivery Sequence File (DSF) as a sampling frame. In addition to address, the DSF contains ancillary data regarding the status and structure of the address. These ancillary data may prove useful in further enhancing frame construction and sampling methodologies. We review three variables on the DSF: the vacancy flag, the college flag, and the drop point indicator. We conclude th…
New Data Sources in Social Science Research: Things to Know Before Working With Reddit Data
Social media are becoming more popular as a source of data for social science researchers. These data are plentiful and offer the potential to answer new research questions at smaller geographies and for rarer subpopulations. When deciding whether to use data from social media, it is useful to learn as much as possible about the data and its source. Social media data have properties quite different from those with which many social scientists are…
Predicting Voting Behavior Using Digital Trace Data
A major concern arising from ubiquitous tracking of individuals’ online activity is that algorithms may be trained to predict personal sensitive information, even for users who do not wish to reveal such information. Although previous research has shown that digital trace data can accurately predict sociodemographic characteristics, little is known about the potentials of such data to predict sensitive outcomes. Against this background, we invest…
Nonresponse Bias for Univariate and Multivariate Estimates of Social Activities and Roles
Nonresponse bias is a fundamental concern for survey researchers, as understanding when and to what extent it occurs is critical to producing accurate statistics. According to the social integration hypothesis, individuals who participate in a broad range of social activities and roles should be more likely to respond to surveys (Goyder 1987; Groves and Couper 1998). As a result, prevalence estimates of social activities and roles should be upwar…
Improving the Utility of the DSF Address-based Frame through Ancillary Information
Survey researchers have recently begun using the U.S. Postal Service Delivery Sequence File (DSF) as a sampling frame. In addition to address, the DSF contains ancillary data regarding the status and structure of the address. These ancillary data may prove useful in further enhancing frame construction and sampling methodologies. We review three variables on the DSF: the vacancy flag, the college flag, and the drop point indicator. We conclude th…
The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey
Previous research has shown that increasing the size of incentives can increase response rates for probability-based, cross-sectional surveys. However, the effects of incentives on web panels have not been extensively studied. We sought to answer the question: What is the effect of larger, postpaid incentives on (1) response, (2) data quality, and (3) nonresponse bias for individuals in a web panel? We analyzed data from the 2015 and 2016 Nationa…
Where to Start: An Evaluation of Primary Data-Collection Modes in an Address-Based Sampling Design
As address-based sampling becomes increasingly popular for multimode surveys, researchers continue to refine data-collection best practices. While much work has been conducted to improve efficiency within a given mode, additional research is needed on how multimode designs can be optimized across modes. Previous research has not evaluated the consequences of mode sequencing on multimode mail and phone surveys, nor has significant research been co…
Improving the Utility of the DSF Address-based Frame through Ancillary Information
Survey researchers have recently begun using the U.S. Postal Service Delivery Sequence File (DSF) as a sampling frame. In addition to address, the DSF contains ancillary data regarding the status and structure of the address. These ancillary data may prove useful in further enhancing frame construction and sampling methodologies. We review three variables on the DSF: the vacancy flag, the college flag, and the drop point indicator. We conclude th…
Where to Start: An Evaluation of Primary Data-Collection Modes in an Address-Based Sampling Design
As address-based sampling becomes increasingly popular for multimode surveys, researchers continue to refine data-collection best practices. While much work has been conducted to improve efficiency within a given mode, additional research is needed on how multimode designs can be optimized across modes. Previous research has not evaluated the consequences of mode sequencing on multimode mail and phone surveys, nor has significant research been co…
Nonresponse Bias for Univariate and Multivariate Estimates of Social Activities and Roles
Nonresponse bias is a fundamental concern for survey researchers, as understanding when and to what extent it occurs is critical to producing accurate statistics. According to the social integration hypothesis, individuals who participate in a broad range of social activities and roles should be more likely to respond to surveys (Goyder 1987; Groves and Couper 1998). As a result, prevalence estimates of social activities and roles should be upwar…
New Data Sources in Social Science Research: Things to Know Before Working With Reddit Data
Social media are becoming more popular as a source of data for social science researchers. These data are plentiful and offer the potential to answer new research questions at smaller geographies and for rarer subpopulations. When deciding whether to use data from social media, it is useful to learn as much as possible about the data and its source. Social media data have properties quite different from those with which many social scientists are…
Predicting Voting Behavior Using Digital Trace Data
A major concern arising from ubiquitous tracking of individuals’ online activity is that algorithms may be trained to predict personal sensitive information, even for users who do not wish to reveal such information. Although previous research has shown that digital trace data can accurately predict sociodemographic characteristics, little is known about the potentials of such data to predict sensitive outcomes. Against this background, we invest…
The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey
Previous research has shown that increasing the size of incentives can increase response rates for probability-based, cross-sectional surveys. However, the effects of incentives on web panels have not been extensively studied. We sought to answer the question: What is the effect of larger, postpaid incentives on (1) response, (2) data quality, and (3) nonresponse bias for individuals in a web panel? We analyzed data from the 2015 and 2016 Nationa…
Does Undercoverage on the U.S. Address-based Sampling Frame Translate to Coverage Bias
Address-based sampling (ABS) refers to the use a list of addresses derived from the U.S. Postal Service’s Computerized Delivery Sequence File as a sampling frame. While most residential addresses are included on an ABS frame, it still suffers from undercoverage. Undercoverage is problematic only if the uncovered units have different attributes than covered units. In this article, we assess the risk of observing coverage bias on a variety of univa…
Estimating Net Coverage of Segments in ABS Frames
The literature has no standard method for estimating the coverage of area probability segments in address-based frames. Versatility is desirable for different study needs, but standardization improves comparability. Many segment estimates are simple ratios of counts of frame addresses to control totals, or net coverage ratios. Challenges to segment ratios include geocoding error, outdated control totals, errors in the address frame, and systemati…
Computer Science (8 works) · Mathematics (6 works) · Statistics (5 works) · Survey Methodology and Nonresponse (5 works) · Econometrics (4 works) · Data-Driven Disease Surveillance (3 works) · Sampling frame (3 works) · Data collection (2 works) · Data quality (2 works) · Data science (2 works)