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Trent D Buskirk

Dados Biográficos

ID91700
NOMETrent D Buskirk
PRENOMESTrent D
SOBRENOMEBuskirk
ASSINATURABUSKIRK T D
AFILIAÇÕESBowling Green State University, Bowling Green, OH, USA
ORCID0000-0003-4798-9154
VERIFICADOSim
TOTAL DE OBRAS7
TOTAL DE CITAÇÕES67
TOTAL COMO AUTOR7
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2007
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H3
  • A Deeper Dive into the Digital Divide

    Open Access•David Dutwin, Trent D Buskirk•ARTICLE•Social Science Computer Review•2022•Citada por: 3•Referências: 5

    Survey research is increasingly turning to online research and as a consequence, sampling only, or disproportionately from, households with internet access. While the percentage of non-internet households has declined, it persists at about one in ten households. This raises the question of coverage error and bias, and whether there is an approach to reduce possible biases in internet-only samples. We processed nearly 5000 variables from over a do…

  • Scratch the Scratch-off

    Open Access•Philip S Brenner, Trent D Buskirk•ARTICLE•CAM•2022•Referências: 22

    We tested a novel extension to mailed invitations to a web-push survey, using a postcard invitation to deliver a scratch-off giftcode incentive similar to an instant-win lottery ticket. Scratch-off postcards were included as one of five conditions in randomized survey experiment varying two mailing types (letter and postcard) and three incentive types (prepaid cash, prepaid giftcodes, and conditional giftcodes). Invitations were sent to a sample …

  • Apples to Oranges or Gala versus Golden Delicious

    David Dutwin, Trent D Buskirk•ARTICLE•Public Opinion Quarterly•2017•Citada por: 32•Referências: 17

    Nonprobability samples have gained mass popularity and use in many research circles, including market research and some political research. One justification for the use of nonprobability samples is that low response rate probability surveys have nothing significant to offer over and above a "well built" nonprobability sample. Utilizing an elemental approach, we compare a range of samples, weighting, and modeling procedures in an analysis that ev…

  • Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys

    M W Link, Michael Link et al.•ARTICLE•Public Opinion Quarterly•2014•Citada por: 26

    Journal Article Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys: Executive Summary of the AAPOR Task Force on Emerging Technologies in Public Opinion Research Get access Michael W. Link, Michael W. Link * Address correspondence to: Michael W. Link, Nielsen, 710 Springer Mountain Rd, Canton, GA 30114; e-mail: [email protected] . Search for other works by this author on: Oxford Academic Google Scholar Joe Mur…

  • Making Mobile Browser Surveys Smarter

    Open Access•Trent D Buskirk, Charles H Andrus•ARTICLE•CAM•2014•Citada por: 3•Referências: 17

    With nearly 50% of U.S. mobile phone subscribers using smartphones, survey researchers are beginning to explore their use as a data collection tool. The Got Healthy Apps Study (GHAS) conducted a randomized experiment to compare mode effects for a survey completed via iPhone mobile browser and online via desktop/laptop computer web browser. Mode effects were assessed for three types of outcomes: randomization/recruitment, survey process/completion…

  • N the Network?’’

    Open Access•Trent D Buskirk, Mario Callegaro et al.•ARTICLE•Social Science Computer Review•2009•Referências: 5

    Despite higher hit rates for cell phone samples, inefficiencies in processing calls to these numbers relative to landline numbers continue to be documented in the U.S. literature. In this study, we propose one method for using cell phone provider information and Internet resources for validating number status. Specifically, we describe how we used ‘‘in network’’ options available from three major providers’ web sites to determine the validity of …

  • Using Text Messages in U.S. Mobile Phone Surveys

    Open Access•Charlotte Steeh, Trent D Buskirk et al.•ARTICLE•CAM•2007•Citada por: 3•Referências: 4

    Attempts to interview the general population using cell phones have revealed underlying weaknesses. Noncoverage is severe because all persons who rely solely on fixedline telephones are excluded. Nonresponse stemming from the difficulty of contacting potential respondents and convincing them to participate also increases. Only the spread of mobile technology will remedy noncoverage. This article presents the results of an experiment that tests th…

  • Apples to Oranges or Gala versus Golden Delicious

    David Dutwin, Trent D Buskirk•ARTICLE•Public Opinion Quarterly•2017•Citada por: 32•Referências: 17

    Nonprobability samples have gained mass popularity and use in many research circles, including market research and some political research. One justification for the use of nonprobability samples is that low response rate probability surveys have nothing significant to offer over and above a "well built" nonprobability sample. Utilizing an elemental approach, we compare a range of samples, weighting, and modeling procedures in an analysis that ev…

  • Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys

    M W Link, Michael Link et al.•ARTICLE•Public Opinion Quarterly•2014•Citada por: 26

    Journal Article Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys: Executive Summary of the AAPOR Task Force on Emerging Technologies in Public Opinion Research Get access Michael W. Link, Michael W. Link * Address correspondence to: Michael W. Link, Nielsen, 710 Springer Mountain Rd, Canton, GA 30114; e-mail: [email protected] . Search for other works by this author on: Oxford Academic Google Scholar Joe Mur…

  • A Deeper Dive into the Digital Divide

    Open Access•David Dutwin, Trent D Buskirk•ARTICLE•Social Science Computer Review•2022•Citada por: 3•Referências: 5

    Survey research is increasingly turning to online research and as a consequence, sampling only, or disproportionately from, households with internet access. While the percentage of non-internet households has declined, it persists at about one in ten households. This raises the question of coverage error and bias, and whether there is an approach to reduce possible biases in internet-only samples. We processed nearly 5000 variables from over a do…

  • Making Mobile Browser Surveys Smarter

    Open Access•Trent D Buskirk, Charles H Andrus•ARTICLE•CAM•2014•Citada por: 3•Referências: 17

    With nearly 50% of U.S. mobile phone subscribers using smartphones, survey researchers are beginning to explore their use as a data collection tool. The Got Healthy Apps Study (GHAS) conducted a randomized experiment to compare mode effects for a survey completed via iPhone mobile browser and online via desktop/laptop computer web browser. Mode effects were assessed for three types of outcomes: randomization/recruitment, survey process/completion…

  • Using Text Messages in U.S. Mobile Phone Surveys

    Open Access•Charlotte Steeh, Trent D Buskirk et al.•ARTICLE•CAM•2007•Citada por: 3•Referências: 4

    Attempts to interview the general population using cell phones have revealed underlying weaknesses. Noncoverage is severe because all persons who rely solely on fixedline telephones are excluded. Nonresponse stemming from the difficulty of contacting potential respondents and convincing them to participate also increases. Only the spread of mobile technology will remedy noncoverage. This article presents the results of an experiment that tests th…

  • Using Text Messages in U.S. Mobile Phone Surveys

    Open Access•Charlotte Steeh, Trent D Buskirk et al.•ARTICLE•CAM•2007•Citada por: 3•Referências: 4

    Attempts to interview the general population using cell phones have revealed underlying weaknesses. Noncoverage is severe because all persons who rely solely on fixedline telephones are excluded. Nonresponse stemming from the difficulty of contacting potential respondents and convincing them to participate also increases. Only the spread of mobile technology will remedy noncoverage. This article presents the results of an experiment that tests th…

  • N the Network?’’

    Open Access•Trent D Buskirk, Mario Callegaro et al.•ARTICLE•Social Science Computer Review•2009•Referências: 5

    Despite higher hit rates for cell phone samples, inefficiencies in processing calls to these numbers relative to landline numbers continue to be documented in the U.S. literature. In this study, we propose one method for using cell phone provider information and Internet resources for validating number status. Specifically, we describe how we used ‘‘in network’’ options available from three major providers’ web sites to determine the validity of …

  • Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys

    M W Link, Michael Link et al.•ARTICLE•Public Opinion Quarterly•2014•Citada por: 26

    Journal Article Mobile Technologies for Conducting, Augmenting and Potentially Replacing Surveys: Executive Summary of the AAPOR Task Force on Emerging Technologies in Public Opinion Research Get access Michael W. Link, Michael W. Link * Address correspondence to: Michael W. Link, Nielsen, 710 Springer Mountain Rd, Canton, GA 30114; e-mail: [email protected] . Search for other works by this author on: Oxford Academic Google Scholar Joe Mur…

  • Making Mobile Browser Surveys Smarter

    Open Access•Trent D Buskirk, Charles H Andrus•ARTICLE•CAM•2014•Citada por: 3•Referências: 17

    With nearly 50% of U.S. mobile phone subscribers using smartphones, survey researchers are beginning to explore their use as a data collection tool. The Got Healthy Apps Study (GHAS) conducted a randomized experiment to compare mode effects for a survey completed via iPhone mobile browser and online via desktop/laptop computer web browser. Mode effects were assessed for three types of outcomes: randomization/recruitment, survey process/completion…

  • Apples to Oranges or Gala versus Golden Delicious

    David Dutwin, Trent D Buskirk•ARTICLE•Public Opinion Quarterly•2017•Citada por: 32•Referências: 17

    Nonprobability samples have gained mass popularity and use in many research circles, including market research and some political research. One justification for the use of nonprobability samples is that low response rate probability surveys have nothing significant to offer over and above a "well built" nonprobability sample. Utilizing an elemental approach, we compare a range of samples, weighting, and modeling procedures in an analysis that ev…

  • A Deeper Dive into the Digital Divide

    Open Access•David Dutwin, Trent D Buskirk•ARTICLE•Social Science Computer Review•2022•Citada por: 3•Referências: 5

    Survey research is increasingly turning to online research and as a consequence, sampling only, or disproportionately from, households with internet access. While the percentage of non-internet households has declined, it persists at about one in ten households. This raises the question of coverage error and bias, and whether there is an approach to reduce possible biases in internet-only samples. We processed nearly 5000 variables from over a do…

  • Scratch the Scratch-off

    Open Access•Philip S Brenner, Trent D Buskirk•ARTICLE•CAM•2022•Referências: 22

    We tested a novel extension to mailed invitations to a web-push survey, using a postcard invitation to deliver a scratch-off giftcode incentive similar to an instant-win lottery ticket. Scratch-off postcards were included as one of five conditions in randomized survey experiment varying two mailing types (letter and postcard) and three incentive types (prepaid cash, prepaid giftcodes, and conditional giftcodes). Invitations were sent to a sample …

Computer Science (7 obras) · Survey Methodology and Nonresponse (7 obras) · Psychology (4 obras) · Statistics (4 obras) · World Wide Web (4 obras) · Business (3 obras) · Phone (3 obras) · Telecommunications (3 obras) · Econometrics (2 obras) · Focus Groups and Qualitative Methods (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae