Handling Frame Problems When Address-Based Sampling Is Used for In-Person Household Surveys

Kalton, Graham; Kali, Jennifer; Sigman, Richard

doi:10.1093/jssam/smu013

Cited by 23 publications

(22 citation statements)

References 11 publications

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“…Taiwan Social Change Survey has estimated that about 20-25% of the non-response rates were due to the discrepancy of registered addresses and actual living addresses [25]. Studies have suggested through updating addresses from other supplemental sampling frames, such as postal addresses or other commercially available databases, might remedy the problem of low-response rate in a household survey [40].…”

Section: Discussionmentioning

confidence: 99%

Social Capital and Health-Protective Behavior Intentions in an Influenza Pandemic

et al. 2015

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Health-protective behaviors, such as receiving a vaccine, wearing a face mask, and washing hands frequently, can reduce the risk of contracting influenza. However, little is known about how social capital may influence health-protective behavior in the general population. This study examined whether each of the social capital dimensions (bonding, bridging, and linking) contributed to the intention to adopt any of the health-protective behaviors in an influenza pandemic. The data of this study were from the 2014 Taiwan Social Change Survey. A stratified, three-stage probability proportional-to-size sampling from across the nation, was conducted to select adults aged 20 years and older (N = 1,745). Bonding social capital was measured by the frequency of neighborly contact and support. Bridging social capital was measured based on association membership. Linking social capital was measured according to general government trust and trust in the government’s capacity to counter an influenza pandemic. Binary logistic regressions were used to assess the multivariate associations between social capital and behavioral intention. The study results indicate that social capital may influence the response to influenza pandemic. Specifically, the intention to receive a vaccine and to wash hands more frequently were associated with the linking dimension and the bonding dimension of social capital, while the intention to wear a face mask was associated with all forms of social capital. The findings of this study suggest that government credibility and interpersonal networks may play a crucial role in health-protective behavior. This study provides new insights into how to improve the effectiveness of influenza prevention campaigns.

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Section: Discussionmentioning

confidence: 99%

Social Capital and Health-Protective Behavior Intentions in an Influenza Pandemic

et al. 2015

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“…The thirdstage sampled residential addresses in the US Postal Service Computerised Delivery Sequence Files, with coverage enhancement procedures used to include addresses not listed in those files. 28 The fourth stage selected persons from the sampled households. A roster of all members in the sampled household was constructed by interviewing one adult household member (referred to as the household informant) to list the household members and collect information about each one for use in sampling the three groups of interest: ▸ Adults (up to two adults per household); ▸ Children aged 12-17 (referred to as 'youth', generally up to two per household);…”

Section: Sample Design and Weightingmentioning

confidence: 99%

Design and methods of the Population Assessment of Tobacco and Health (PATH) Study

et al. 2016

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Background This paper describes the methods and conceptual framework for Wave 1 of the Population Assessment of Tobacco and Health (PATH) Study data collection. The National Institutes of Health, through the National Institute on Drug Abuse, is partnering with the Food and Drug Administration’s (FDA) Center for Tobacco Products to conduct the PATH Study under a contract with Westat. Methods The PATH Study is a nationally representative, longitudinal cohort study of 45 971 adults and youth in the USA, aged 12 years and older. Wave 1 was conducted from 12 September 2013 to 15 December 2014 using Audio Computer-Assisted Self-Interviewing to collect information on tobacco-use patterns, risk perceptions and attitudes towards current and newly emerging tobacco products, tobacco initiation, cessation, relapse behaviours and health outcomes. The PATH Study’s design allows for the longitudinal assessment of patterns of use of a spectrum of tobacco products, including initiation, cessation, relapse and transitions between products, as well as factors associated with use patterns. Additionally, the PATH Study collects biospecimens from consenting adults aged 18 years and older and measures biomarkers of exposure and potential harm related to tobacco use. Conclusions The cumulative, population-based data generated over time by the PATH Study will contribute to the evidence base to inform FDA’s regulatory mission under the Family Smoking Prevention and Tobacco Control Act and efforts to reduce the Nation’s burden of tobacco-related death and disease.

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“…With the address coverage enhancement (ACE) procedure, field personnel canvass a subset of area segments either prior to or during data collection and identify missed housing units. The ACE methodology mitigates the problem of geocoding error by including all sampled addresses that geocode into sampled area segments in the sample, rather than requiring them to be identified through the listing process (Dohrman et al, 2012;Kalton et al, 2014). Although canvassing area segments in urban areas can be quick, it can be more time and cost intensive in large rural areas (Kalton et al, 2014).…”

Section: Types Of Supplementation Proceduresmentioning

confidence: 99%

“…The ACE methodology mitigates the problem of geocoding error by including all sampled addresses that geocode into sampled area segments in the sample, rather than requiring them to be identified through the listing process (Dohrman et al, 2012;Kalton et al, 2014). Although canvassing area segments in urban areas can be quick, it can be more time and cost intensive in large rural areas (Kalton et al, 2014). Because addresses that incorrectly geocode into area segments are considered eligible for the study, the ACE procedure requires all missed units identified in the field to be matched against the entire ABS frame rather than a comparison with only those ABS addresses that geocoded into the area segment.…”

Section: Types Of Supplementation Proceduresmentioning

confidence: 99%

The CHUM: A Frame Supplementation Procedure for Address-Based Sampling

Shook-Sa¹,

Harter²,

McMichael³

et al. 2016

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This PDF document was made available from www.rti.org as a public service of RTI International. More information about RTI Press can be found at http://www.rti.org/rtipress. RTI International is an independent, nonprofit research organization dedicated to improving the human condition by turning knowledge into practice. The RTI Press mission is to disseminate information about RTI research, analytic tools, and technical expertise to a national and international audience. RTI Press publications are peerreviewed by at least two independent substantive experts and one or more Press editors. Abstract ii Introduction 1 Types of Supplementation Procedures 2 The CHUM Methodology 3 CHUM Operational Issues 6 Benefits and Limitations of Using ABS with CHUM 8 Summary 10 References 10 About the Authors Bonnie E. Shook-Sa, MAS, is a research statistician at RTI International. Her research focuses on sampling frame development and evaluation, sample design and optimization, and the analysis of complex data for household and establishment surveys. Rachel M. Harter, PhD, is a senior research statistician and program director at RTI. Areas of interest include household and establishment surveys, area probability survey designs, address-based sampling, imputation, and small area estimation. Joseph McMichael, BS, is a research statistician in RTI's Division for Statistical and Data Sciences. Jamie Ridenhour, MStat, is a research statistician at RTI. Her research interests are sample design, weighting, and methodological challenges associated with addressbased sampling and dual-frame random-digit-dial surveys. Jill A. Dever, PhD, is a senior research statistician at RTI. Her current research interests are variance estimation with calibrated analysis weights for complex survey designs and statistical issues related to samples drawn without a defined probabilistic structure.Abstract RTI developed the check for housing units missed (CHUM) methodology to compensate for housing unit undercoverage of address-based sampling (ABS) frames for in-person, area probability surveys. The CHUM systematically identifies housing units missing from the ABS frame, giving each housing unit a chance of selection with known probability. The CHUM poses several advantages over alternative supplementation approaches. Because only a subset of housing units within selected areas must be evaluated, the CHUM is less costly than supplementation techniques that require the verification of all addresses within selected areas. Because it is conducted after housing units are selected instead of the frame-building stage, the CHUM provides timelier frame updates. This paper presents details for designing ABS studies that incorporate the CHUM, appropriately incorporating missed units into area probability samples, and training field personnel to implement the CHUM. It also compares the CHUM with other frame supplementation approaches and discusses the advantages and limitations of each approach.

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Handling Frame Problems When Address-Based Sampling Is Used for In-Person Household Surveys

Cited by 23 publications

References 11 publications

Social Capital and Health-Protective Behavior Intentions in an Influenza Pandemic

Social Capital and Health-Protective Behavior Intentions in an Influenza Pandemic

Design and methods of the Population Assessment of Tobacco and Health (PATH) Study

The CHUM: A Frame Supplementation Procedure for Address-Based Sampling

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