A Method for Accounting for Classification Error in a Stratified Cellphone Sample

Berzofsky, Marcus; Scruggs, Caroline Blanton; Speizer, Howard; Peterson, Kimberly; Lü, Bo; Sahr, Timothy

doi:10.1093/jssam/smx033

Journal of Survey Statistics and Methodology

2017

DOI: 10.1093/jssam/smx033

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A Method for Accounting for Classification Error in a Stratified Cellphone Sample

Marcus Berzofsky

Caroline Blanton Scruggs

Howard Speizer

et al.

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“…Another benefit is more precise geographic targeting, since addresses on the frame can be geocoded into the various geographies such as county, Census tract, block group, etc, and the sampling units are more stable than telephone numbers as sampling units linked to individuals who can move around from one location to another. Indeed, the portability of cellular numbers makes data collection less efficient in DFRDD designs 9…”

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confidence: 99%

“…Indeed, the portability of cellular numbers makes data collection less efficient in DFRDD designs. 9 Although surveying by mail survey can be expected to produce higher response rates than surveying by telephone, 2,10 this is not necessarily coupled with reduced nonresponse bias. 1 Nonresponse bias occurs when respondents differ from nonrespondents with respect to the survey outcomes.…”

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confidence: 99%

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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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confidence: 99%

mentioning

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

View full text Add to dashboard Cite

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The Evolution of Mobile Phone Surveys in Low- and Middle-Income Countries: A Study of Coverage Structure

Elkasabi,

Khan

2023

International Journal of Public Opinion Research

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Mobile phone interviews are becoming an increasingly appealing mode of data collection in low- and middle-income countries. Therefore, we used data from 36 countries to examine mobile phone coverage of adults aged 15–49 years. We paid special attention to the (1) coverage rate (percentage of individuals who own at least one mobile phone) versus penetration rate (mobile phone subscriptions per 100 inhabitants), and (2) proxy-covered population (i.e., persons who do not own mobile phones but are potentially accessible through devices owned by other household members). Study findings suggest that (1) penetration rates notably overestimate mobile phone coverage of the population; (2) mobile phone coverage structure varies substantially; (3) mobile phone owners are more likely to be males, urban residents, literate, married, and relatively wealthy; and (4) proxy-covered adults are distinct with regard to demographic characteristics and survey outcomes in comparison to directly covered and not-covered adults. This study informs practitioners about the current coverage structure in several low- and middle-income countries and promotes proper procedures for studying coverage structure before implementing mobile phone interviews in those countries. Finally, this study introduces the term proxy-coverage and advocates for approaching the proxy-covered population to reduce noncoverage bias, especially in settings where mobile phone sharing among family members is common.

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A Method for Accounting for Classification Error in a Stratified Cellphone Sample

Cited by 2 publications

References 4 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

The Evolution of Mobile Phone Surveys in Low- and Middle-Income Countries: A Study of Coverage Structure

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