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Kristen Olson

Biographic Data

ID3743150
NAMEKristen Olson
GIVEN NAMESKristen
FAMILY NAMEOlson
SIGNATUREOLSON K
AFFILIATIONSUniversity of Nebraska–Lincoln
VERIFIEDNo
TOTAL WORKS7
TOTAL CITATIONS120
WORKS AS AUTHOR6
WORKS AS EDITOR1
FIRST PUBLICATION YEAR2006
LATEST PUBLICATION YEAR2020
H-INDEX4
  • Interviewer Effects from a Total Survey Error Perspective

    Jolene Smyth, Kristen Olson et al.•EDITOR•BOOK•Interviewer Effects from a Total…•2020

    Interviewer Effects from a Total Survey Error Perspective presents a comprehensive collection of state-of-the-art research on interviewer-administered survey data collection. Interviewers play an essential role in the collection of the high-quality survey data used to learn about our society and improve the human condition. Although many surveys are conducted using self-administered modes, interviewer-administered modes continue to be optimal for…

  • An Evaluation of the 2016 Election Polls in the United States

    Courtney Kennedy, Mark Blumenthal et al.•ARTICLE•Public Opinion Quarterly•2018•Cited by: 66•References: 19

    The 2016 presidential election was a jarring event for polling in the United States. Preelection polls fueled high-profile predictions that Hillary Clinton’s likelihood of winning the presidency was about 90 percent, with estimates ranging from 71 to over 99 percent. When Donald Trump was declared the winner of the presidency, there was a widespread perception that the polls failed. But did the polls fail? And if so, why? Those are among the cent…

  • Why Do Cell Phone Interviews Last Longer? A Behavior Coding Perspective

    Open Access•Jerry Timbrook, Kristen Olson et al.•ARTICLE•Public Opinion Quarterly•2018•Cited by: 1•References: 35

    Why do telephone interviews last longer on cell phones than landline phones? Common explanations for this phenomenon include differential selection into subsets of questions, activities outside the question-answer sequence (such as collecting contact information for cell-minute reimbursement), respondent characteristics, behaviors indicating disruption to respondents’ perception and comprehension, and behaviors indicating interviewer reactions to…

  • Within-Household Selection in Mail Surveys

    Kristen Olson, Jolene D Smyth•ARTICLE•Public Opinion Quarterly•2017•Cited by: 4•References: 10

    Randomly selecting a single adult within a household is one of the biggest challenges facing mail surveys. Yet obtaining a probability sample of adults within households is critical to having a probability sample of the US adult population. In this paper, we experimentally test three alternative placements of the within-household selection instructions in the National Health, Wellbeing, and Perspectives study (sample n = 6,000; respondent n = 998…

  • Do Interviewer Postsurvey Evaluations of Respondents’ Engagement Measure Who Respondents Are or What They Do? A Behavior Coding Study

    Antje Kirchner, Kristen Olson et al.•ARTICLE•Public Opinion Quarterly•2017•Cited by: 5•References: 30

    Survey interviewers are often tasked with assessing the quality of respondents’ answers after completing a survey interview. These interviewer observations have been used to proxy for measurement error in interviewer-administered surveys. How interviewers formulate these evaluations and how well they proxy for measurement error has received little empirical attention. According to dual-process theories of impression formation, individuals form im…

  • Assessing Within-Household Selection Methods in Household Mail Surveys

    Kristen Olson, Mathew Stange et al.•ARTICLE•Public Opinion Quarterly•2014•Cited by: 7•References: 9

    Household surveys are increasingly moving toward self-administered modes of data collection. To maintain a probability sample of the population, researchers must use probability methods to select adults within households. However, very little experimental methodological work has been conducted on within-household selection in mail surveys. In this study, we experimentally examine four methods—the next-birthday method, the last-birthday method, se…

  • Survey Participation, Nonresponse Bias, Measurement Error Bias, and Total Bias

    Kristen Olson•ARTICLE•Public Opinion Quarterly•2006•Cited by: 37•References: 9

    A common hypothesis about practices to reduce survey nonresponse is that those persons brought into the respondent pool through persuasive efforts may provide data filled with measurement error.Two questions flow from this hypothesis.First, does the mean square error of a statistic increase when sample persons who are less likely to be contacted or cooperate are incorporated into the respondent pool?Second, do nonresponse bias estimates made on t…

  • An Evaluation of the 2016 Election Polls in the United States

    Courtney Kennedy, Mark Blumenthal et al.•ARTICLE•Public Opinion Quarterly•2018•Cited by: 66•References: 19

    The 2016 presidential election was a jarring event for polling in the United States. Preelection polls fueled high-profile predictions that Hillary Clinton’s likelihood of winning the presidency was about 90 percent, with estimates ranging from 71 to over 99 percent. When Donald Trump was declared the winner of the presidency, there was a widespread perception that the polls failed. But did the polls fail? And if so, why? Those are among the cent…

  • Survey Participation, Nonresponse Bias, Measurement Error Bias, and Total Bias

    Kristen Olson•ARTICLE•Public Opinion Quarterly•2006•Cited by: 37•References: 9

    A common hypothesis about practices to reduce survey nonresponse is that those persons brought into the respondent pool through persuasive efforts may provide data filled with measurement error.Two questions flow from this hypothesis.First, does the mean square error of a statistic increase when sample persons who are less likely to be contacted or cooperate are incorporated into the respondent pool?Second, do nonresponse bias estimates made on t…

  • Assessing Within-Household Selection Methods in Household Mail Surveys

    Kristen Olson, Mathew Stange et al.•ARTICLE•Public Opinion Quarterly•2014•Cited by: 7•References: 9

    Household surveys are increasingly moving toward self-administered modes of data collection. To maintain a probability sample of the population, researchers must use probability methods to select adults within households. However, very little experimental methodological work has been conducted on within-household selection in mail surveys. In this study, we experimentally examine four methods—the next-birthday method, the last-birthday method, se…

  • Do Interviewer Postsurvey Evaluations of Respondents’ Engagement Measure Who Respondents Are or What They Do? A Behavior Coding Study

    Antje Kirchner, Kristen Olson et al.•ARTICLE•Public Opinion Quarterly•2017•Cited by: 5•References: 30

    Survey interviewers are often tasked with assessing the quality of respondents’ answers after completing a survey interview. These interviewer observations have been used to proxy for measurement error in interviewer-administered surveys. How interviewers formulate these evaluations and how well they proxy for measurement error has received little empirical attention. According to dual-process theories of impression formation, individuals form im…

  • Within-Household Selection in Mail Surveys

    Kristen Olson, Jolene D Smyth•ARTICLE•Public Opinion Quarterly•2017•Cited by: 4•References: 10

    Randomly selecting a single adult within a household is one of the biggest challenges facing mail surveys. Yet obtaining a probability sample of adults within households is critical to having a probability sample of the US adult population. In this paper, we experimentally test three alternative placements of the within-household selection instructions in the National Health, Wellbeing, and Perspectives study (sample n = 6,000; respondent n = 998…

  • Why Do Cell Phone Interviews Last Longer? A Behavior Coding Perspective

    Open Access•Jerry Timbrook, Kristen Olson et al.•ARTICLE•Public Opinion Quarterly•2018•Cited by: 1•References: 35

    Why do telephone interviews last longer on cell phones than landline phones? Common explanations for this phenomenon include differential selection into subsets of questions, activities outside the question-answer sequence (such as collecting contact information for cell-minute reimbursement), respondent characteristics, behaviors indicating disruption to respondents’ perception and comprehension, and behaviors indicating interviewer reactions to…

  • Survey Participation, Nonresponse Bias, Measurement Error Bias, and Total Bias

    Kristen Olson•ARTICLE•Public Opinion Quarterly•2006•Cited by: 37•References: 9

    A common hypothesis about practices to reduce survey nonresponse is that those persons brought into the respondent pool through persuasive efforts may provide data filled with measurement error.Two questions flow from this hypothesis.First, does the mean square error of a statistic increase when sample persons who are less likely to be contacted or cooperate are incorporated into the respondent pool?Second, do nonresponse bias estimates made on t…

  • Assessing Within-Household Selection Methods in Household Mail Surveys

    Kristen Olson, Mathew Stange et al.•ARTICLE•Public Opinion Quarterly•2014•Cited by: 7•References: 9

    Household surveys are increasingly moving toward self-administered modes of data collection. To maintain a probability sample of the population, researchers must use probability methods to select adults within households. However, very little experimental methodological work has been conducted on within-household selection in mail surveys. In this study, we experimentally examine four methods—the next-birthday method, the last-birthday method, se…

  • Within-Household Selection in Mail Surveys

    Kristen Olson, Jolene D Smyth•ARTICLE•Public Opinion Quarterly•2017•Cited by: 4•References: 10

    Randomly selecting a single adult within a household is one of the biggest challenges facing mail surveys. Yet obtaining a probability sample of adults within households is critical to having a probability sample of the US adult population. In this paper, we experimentally test three alternative placements of the within-household selection instructions in the National Health, Wellbeing, and Perspectives study (sample n = 6,000; respondent n = 998…

  • Do Interviewer Postsurvey Evaluations of Respondents’ Engagement Measure Who Respondents Are or What They Do? A Behavior Coding Study

    Antje Kirchner, Kristen Olson et al.•ARTICLE•Public Opinion Quarterly•2017•Cited by: 5•References: 30

    Survey interviewers are often tasked with assessing the quality of respondents’ answers after completing a survey interview. These interviewer observations have been used to proxy for measurement error in interviewer-administered surveys. How interviewers formulate these evaluations and how well they proxy for measurement error has received little empirical attention. According to dual-process theories of impression formation, individuals form im…

  • An Evaluation of the 2016 Election Polls in the United States

    Courtney Kennedy, Mark Blumenthal et al.•ARTICLE•Public Opinion Quarterly•2018•Cited by: 66•References: 19

    The 2016 presidential election was a jarring event for polling in the United States. Preelection polls fueled high-profile predictions that Hillary Clinton’s likelihood of winning the presidency was about 90 percent, with estimates ranging from 71 to over 99 percent. When Donald Trump was declared the winner of the presidency, there was a widespread perception that the polls failed. But did the polls fail? And if so, why? Those are among the cent…

  • Why Do Cell Phone Interviews Last Longer? A Behavior Coding Perspective

    Open Access•Jerry Timbrook, Kristen Olson et al.•ARTICLE•Public Opinion Quarterly•2018•Cited by: 1•References: 35

    Why do telephone interviews last longer on cell phones than landline phones? Common explanations for this phenomenon include differential selection into subsets of questions, activities outside the question-answer sequence (such as collecting contact information for cell-minute reimbursement), respondent characteristics, behaviors indicating disruption to respondents’ perception and comprehension, and behaviors indicating interviewer reactions to…

  • Interviewer Effects from a Total Survey Error Perspective

    Jolene Smyth, Kristen Olson et al.•EDITOR•BOOK•Interviewer Effects from a Total…•2020

    Interviewer Effects from a Total Survey Error Perspective presents a comprehensive collection of state-of-the-art research on interviewer-administered survey data collection. Interviewers play an essential role in the collection of the high-quality survey data used to learn about our society and improve the human condition. Although many surveys are conducted using self-administered modes, interviewer-administered modes continue to be optimal for…

Survey Methodology and Nonresponse (7 works) · Psychology (6 works) · Computer Science (4 works) · Mathematics (4 works) · Social Psychology (4 works) · Sociology (4 works) · Statistics (4 works) · Interview (3 works) · Political science (3 works) · Respondent (3 works)

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