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Jill A Dever

Biographic Data

ID225889
NAMEJill A Dever
GIVEN NAMESJill A
FAMILY NAMEDever
SIGNATUREDEVER J A
AFFILIATIONSRTI International
ORCID0000-0002-0601-9605
VERIFIEDYes
TOTAL WORKS9
TOTAL CITATIONS8
AUTHOR COUNT9
EDITOR COUNT0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2025
H-INDEX1
  • Just Scan It

    Open Access•Amanda C Smith, Jill A Dever et al.•ARTICLE•CAM•2025•References: 10

    Including QR Codes on survey recruitment materials may be one method to reduce burden and encourage participation. The Covid-19 pandemic prompted a resurgence of QR Code use, so it is reasonable to assume they may now also be effective in survey outreach. In this article, we examine response by access mode (QR/URL) to better understand QR Code effectiveness in a push-to-web survey. We also examine access mode by select household and respondent de…

  • The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey

    Open Access•Marshica Stanley, Jessica Roycroft et al.•ARTICLE•CAM•2020•Cited by: 1•References: 20

    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…

  • Practical Tools for Designing and Weighting Survey Samples

    Open Access•Richard Valliant, Jill A Dever et al.•BOOK•Practical Tools for Designing and…•2018

  • Survey Weights

    Richard Valliant, Jill A Dever•BOOK•Survey Weights•2018

  • Practical Tools for Designing and Weighting Survey Samples

    Richard Valliant, Jill A Dever et al.•BOOK•Practical Tools for Designing and…•2018

  • Practical Tools for Designing and Weighting Survey Samples

    Open Access•Richard Valliant, Jill A Dever et al.•BOOK•Practical Tools for Designing and…•2013

  • Summary Report of the Aapor Task Force on Non-probability Sampling

    Reg Baker, J Michael Brick et al.•ARTICLE•Journal of Survey Statistics and…•2013

    Journal Article Summary Report of the AAPOR Task Force on Non-probability Sampling Get access Reg Baker, Reg Baker Search for other works by this author on: Oxford Academic Google Scholar J. Michael Brick, J. Michael Brick * *Address correspondence to J. Michael Brick, 1600 Research Blvd, Rockville, MD 20850, USA; E-mail: [email protected]. Joseph Sedransk served as the Editor for this report, the comments, and the rejoinder since Roger Touran…

  • Preventing Young Children’s Injuries

    Open Access•Robin L Toblin, Ruth A Brenner et al.•ARTICLE•Maternal and Child Health Journal•2011

  • Estimating Propensity Adjustments for Volunteer Web Surveys

    Open Access•Richard Valliant, Jill A Dever•ARTICLE•Sociological Methods & Research•2011•Cited by: 7•References: 16

    Panels of persons who volunteer to participate in Web surveys are used to make estimates for entire populations, including persons who have no access to the Internet. One method of adjusting a volunteer sample to attempt to make it representative of a larger population involves randomly selecting a reference sample from the larger population. The act of volunteering is treated as a quasi-random process where each person has some probability of vo…

  • Estimating Propensity Adjustments for Volunteer Web Surveys

    Open Access•Richard Valliant, Jill A Dever•ARTICLE•Sociological Methods & Research•2011•Cited by: 7•References: 16

    Panels of persons who volunteer to participate in Web surveys are used to make estimates for entire populations, including persons who have no access to the Internet. One method of adjusting a volunteer sample to attempt to make it representative of a larger population involves randomly selecting a reference sample from the larger population. The act of volunteering is treated as a quasi-random process where each person has some probability of vo…

  • The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey

    Open Access•Marshica Stanley, Jessica Roycroft et al.•ARTICLE•CAM•2020•Cited by: 1•References: 20

    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…

  • Preventing Young Children’s Injuries

    Open Access•Robin L Toblin, Ruth A Brenner et al.•ARTICLE•Maternal and Child Health Journal•2011

  • Estimating Propensity Adjustments for Volunteer Web Surveys

    Open Access•Richard Valliant, Jill A Dever•ARTICLE•Sociological Methods & Research•2011•Cited by: 7•References: 16

    Panels of persons who volunteer to participate in Web surveys are used to make estimates for entire populations, including persons who have no access to the Internet. One method of adjusting a volunteer sample to attempt to make it representative of a larger population involves randomly selecting a reference sample from the larger population. The act of volunteering is treated as a quasi-random process where each person has some probability of vo…

  • Practical Tools for Designing and Weighting Survey Samples

    Open Access•Richard Valliant, Jill A Dever et al.•BOOK•Practical Tools for Designing and…•2013

  • Summary Report of the Aapor Task Force on Non-probability Sampling

    Reg Baker, J Michael Brick et al.•ARTICLE•Journal of Survey Statistics and…•2013

    Journal Article Summary Report of the AAPOR Task Force on Non-probability Sampling Get access Reg Baker, Reg Baker Search for other works by this author on: Oxford Academic Google Scholar J. Michael Brick, J. Michael Brick * *Address correspondence to J. Michael Brick, 1600 Research Blvd, Rockville, MD 20850, USA; E-mail: [email protected]. Joseph Sedransk served as the Editor for this report, the comments, and the rejoinder since Roger Touran…

  • Practical Tools for Designing and Weighting Survey Samples

    Open Access•Richard Valliant, Jill A Dever et al.•BOOK•Practical Tools for Designing and…•2018

  • Survey Weights

    Richard Valliant, Jill A Dever•BOOK•Survey Weights•2018

  • Practical Tools for Designing and Weighting Survey Samples

    Richard Valliant, Jill A Dever et al.•BOOK•Practical Tools for Designing and…•2018

  • The Effectiveness of Incentives on Completion Rates, Data Quality, and Nonresponse Bias in a Probability-based Internet Panel Survey

    Open Access•Marshica Stanley, Jessica Roycroft et al.•ARTICLE•CAM•2020•Cited by: 1•References: 20

    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…

  • Just Scan It

    Open Access•Amanda C Smith, Jill A Dever et al.•ARTICLE•CAM•2025•References: 10

    Including QR Codes on survey recruitment materials may be one method to reduce burden and encourage participation. The Covid-19 pandemic prompted a resurgence of QR Code use, so it is reasonable to assume they may now also be effective in survey outreach. In this article, we examine response by access mode (QR/URL) to better understand QR Code effectiveness in a push-to-web survey. We also examine access mode by select household and respondent de…

Survey Methodology and Nonresponse (6 works) · Computer Science (5 works) · Mathematical statistics (3 works) · Mathematics (3 works) · Sampling (Statistics) (3 works) · Statistics (3 works) · Survey data collection (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Econometrics (2 works)

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