Aspire

Biemer, Paul; Trewin, Dennis; Bergdahl, Heather; Xie, Yingfu

doi:10.1002/9781119041702.ch17

Cited by 10 publications

(2 citation statements)

References 7 publications

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“…Undergoing a major design change can simultaneously impact multiple components of total survey error. 20 Comparing differences in base-weighted respondent distributions across the 2 designs offers a glimpse into the combined impacts of differential coverage, nonresponse, measurement, and sampling errors. To that end, we compared base-weighted sociodemographic distributions of respondents to the 2018 and 2020 HCS administrations with estimates of the target population, Chicagoans aged 18 years or older, as derived from the 2014-2018 ACS data file (see Table, Supplemental Digital Content 1, available at http://links.lww.com/JPHMP/A922, which presents respondent characteristics for the ABS and DFRDD samples alongside the population estimates derived from the ACS).…”

Section: Resultsmentioning

confidence: 99%

Transitioning the Healthy Chicago Survey From a Telephone Mode to Self-administered by Mail Mode

Unangst

Lewis

Laflamme

et al. 2022

Journal of Public Health Management and Practice

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Context: As response rates to health surveys conducted by telephone continue to decline and costs continue to increase, practitioners are increasingly considering a transition to self-administered mail contact modes. Objective: To compare empirical differences observed across adjacent administrations of the Healthy Chicago Survey (HCS) conducted by telephone versus self-administered via mail contact. Design: Data from the 2016, 2018, and 2020 administrations of the HCS are contrasted, and demographic distributions are benchmarked against the American Community Survey to investigate differences that may be linked to the HCS' transition from a telephone to self-administered mail mode between 2018 and 2020. Setting: All survey data were collected from adult residents of Chicago, Illinois, between 2016 and 2020. Main Outcome Measures: Costs, response rates, key health statistics, demographic distributions, and measures of precision generated from the HCS. Results: The mail mode led to a response rate increase of 6.8% to 38.2% at half the cost per complete. Mail respondents are more likely to be nonminority, female, and hold a college degree. Key health statistic differences are mixed, but design effects are larger in the mail mode, which we attribute to more detailed geographic stratification and weighting employed in 2020. Conclusions: The mail mode is a less costly data collection strategy for the HCS, but it comes with trade-offs. The quasi-random selection of an individual in the household exacerbates sociodemographic distribution disparities.

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Section: Resultsmentioning

confidence: 99%

Transitioning the Healthy Chicago Survey From a Telephone Mode to Self-administered by Mail Mode

Unangst

Lewis

Laflamme

et al. 2022

Journal of Public Health Management and Practice

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“…That insight is often summarized or communicated through statistical parameters of interest at the population or domain level, including means, quantiles, regression coefficients, measures of variability like variance, or even differences over time. The accuracy of these parameter estimates can be degraded by a variety of issues described in the Total Survey Error context (Biemer 2010; Biemer et al 2017; Groves and Lyberg 2010), including but not limited to coverage error, sampling error, measurement error, and nonresponse error. Under ideal conditions, we could accurately specify the types and magnitudes of each of these error sources and incorporate information about error processes into our design plans for sampling, data collection, weighting, and estimation.…”

Section: Introductionmentioning

confidence: 99%

Some Open Questions on Multiple-Source Extensions of Adaptive-Survey Design Concepts and Methods

Coffey,

Damineni,

Eltinge

et al. 2024

Journal of Official Statistics

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Adaptive survey design is a framework for making data-driven decisions about survey data collection operations. This article discusses open questions related to the extension of adaptive principles and capabilities when capturing data from multiple data sources. Here, the concept of “design” encompasses the focused allocation of resources required for the production of high-quality statistical information in a sustainable and cost-effective way. This conceptual framework leads to a discussion of six groups of issues including: (1) the goals for improvement through adaptation; (2) the design features that are available for adaptation; (3) the auxiliary data that may be available for informing adaptation; (4) the decision rules that could guide adaptation; (5) the necessary systems to operationalize adaptation; and (6) the quality, cost, and risk profiles of the proposed adaptations (and how to evaluate them). A multiple data source environment creates significant opportunities, but also introduces complexities that are a challenge in the production of high-quality statistical information.

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Interviewer Effects in Surveys

West¹

2022

Wiley StatsRef: Statistics Reference Online

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Human interviewers are an essential component of survey data collection. When properly trained, motivated, monitored, and encouraged, interviewers can provide tremendous benefits to research studies both large and small. However, interviewers can also have a negative effect on the quality of the data collected, introducing bias in and/or inflating the variance of survey estimates, and survey managers need to take steps to ensure that these detrimental effects do not emerge. This article introduces the concept of interviewer effects in surveys, including strategies for measuring such effects and designing surveys that will minimize these effects. Considering the Total Survey Error framework, the article discusses the different ways that human interviewers administering surveys in‐person, over the phone, or via live video can affect the quality of the survey data collected. Readers of the article will gain an important and well‐rounded understanding of interviewer effects in survey research, including practical and modern techniques for the measurement and reduction of these effects.

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Aspire

Cited by 10 publications

References 7 publications

Transitioning the Healthy Chicago Survey From a Telephone Mode to Self-administered by Mail Mode

Transitioning the Healthy Chicago Survey From a Telephone Mode to Self-administered by Mail Mode

Some Open Questions on Multiple-Source Extensions of Adaptive-Survey Design Concepts and Methods

Interviewer Effects in Surveys

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