Comparative Analysis of Within-Household Respondent Selection Techniques

Gaziano, Cecilie

doi:10.1093/poq/nfi006

Cited by 112 publications

(79 citation statements)

References 8 publications

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“…The selection of the respondent within the selected household was done using the "last birthday" principle. It is proven by practice that the sample produced by this method does not differ significantly from the official statistical data on age, gender and other demographic parameters (Gaziano 2005;Oldendick et al 1988). Altogether 1,376 respondents were contacted, and 330 refused to complete the questionnaire.…”

Section: Data Collectionmentioning

confidence: 95%

Preferences of Hungarian consumers for quality, access and price attributes of health care services — result of a discrete choice experiment

Baji

Pavlova

Gulàcsi

et al. 2012

Society and Economy

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In 2010, a household survey was carried out in Hungary among 1037 respondents to study consumer preferences and willingness to pay for health care services. In this paper, we use the data from the discrete choice experiments included in the survey, to elicit the preferences of health care consumers about the choice of health care providers. Regression analysis is used to estimate the effect of the improvement of service attributes (quality, access, and price) on patients' choice, as well as the 1 The study is financed by the European Commission under the 7th Framework Program, Theme 8 Socioeconomic Sciences and Humanities, Project ASSPRO CEE 2007 (Grant Agreement no. 217431). The content of the publication is the sole responsibility of the authors and it in no way represents the views of the Commission or its services.2 differences among the socio-demographic groups. We also estimate the marginal willingness to pay for the improvement in attribute levels by calculating marginal rates of substitution. The results show that respondents from a village or the capital, with low education and bad health status are more driven by the changes in the price attribute when choosing between health care providers. Respondents value the good skills and reputation of the physician and the attitude of the personnel most, followed by modern equipment and maintenance of the office/hospital. Access attributes (travelling and waiting time) are less important. The method of discrete choice experiment is useful to reveal patients' preferences, and might support the development of an evidence-based and sustainable health policy.

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Section: Data Collectionmentioning

confidence: 95%

Preferences of Hungarian consumers for quality, access and price attributes of health care services — result of a discrete choice experiment

Baji

Pavlova

Gulàcsi

et al. 2012

Society and Economy

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“…When conducting an RDD telephone survey, researchers are usually interested in obtaining a random sample of the population of people rather than a random sample of households. In order to do this, interviewers select one household member using one of various techniques (see Gaziano 2005 andRizzo, Brick, andPark 2004 for reviews). Acquiring a roster of all eligible members of the household permits randomly selecting one person to be interviewed, yielding equal probability of selection.…”

Section: Who To Interviewmentioning

confidence: 99%

The Causes and Consequences of Response Rates in Surveys by the News Media and Government Contractor Survey Research Firms

Holbrook

Krosnick

Pfent

2007

Advances in Telephone Survey Methodology

283

219

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“…This move to self-administered modes presents a special challenge to survey researchers: how to maintain a probability sample of adults within a household without an interviewer to administer a within-household selection procedure. Although a wide body of literature exists for within-household selection methods for telephone surveys (Oldendick et al 1988;Lind, Link, and Oldendick 2000;Gaziano 2005;Yan 2009), empirical research on within-household selection in mail surveys is much sparser (e.g., Reich, Yates, and Woolson 1986;Battaglia et al 2008). The present study addresses this gap by using two experimental mail surveys to examine four within-household selection methods: the next-birthday, last-birthday, oldest-adult, and youngest-adult methods.…”

Section: Introductionmentioning

confidence: 99%

“…In the next-and last-birthday methods, the selected respondent is the person in the household with the birthday that is immediately upcoming (next) or has most recently occurred (last). These are quasi-probability methods of within-household selection, as opposed to probability methods such as Kish's household roster (Gaziano 2005). Although Battaglia et al (2008) examined the next-birthday method and Schnell, Ziniel, and Coutts (2007) examined the last-birthday method in mail surveys, to our knowledge no previous studies have compared these selection procedures in the same study.…”

Section: Introductionmentioning

confidence: 99%

“…Looking across multiple telephone surveys, Gaziano (2005) found that the Kish selection method had lower response rates than the last-birthday method, which in turn was lower than the youngest-male/oldest-female selection method. Response rates for other within-household selection procedures (e.g., next birthday, youngest male/oldest female, no selection) have few and mixed empirical evaluations.…”

Section: Introductionmentioning

confidence: 99%

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Assessing Within-Household Selection Methods in Household Mail Surveys

Olson¹,

Stange

Smyth³

2014

Public Opinion Quarterly

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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, selection of the youngest adult in the household, and selection of the oldest adult in the household-in two mail surveys of Nebraska residents (n = 2,498, AAPOR RR1 36.3 percent, and n = 947, AAPOR RR1 31.6 percent). To evaluate how accurately respondents were selected from among all adults in the household, we also included a household roster in the questionnaire for one of the surveys. We evaluated response rates, the completed sample composition resulting from the different within-household selection methods, and the accuracy of within-household selection. The analyses indicate that key demographics differed little across the selection methods, and that all of the within-household selection methods tend to underrepresent key demographic groups such as Hispanics and persons with lower levels of education. Rates of selection accuracy were low among the four selection methods analyzed, and the rates were similar across all four methods.

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Comparative Analysis of Within-Household Respondent Selection Techniques

Cited by 112 publications

References 8 publications

Preferences of Hungarian consumers for quality, access and price attributes of health care services — result of a discrete choice experiment

Preferences of Hungarian consumers for quality, access and price attributes of health care services — result of a discrete choice experiment

The Causes and Consequences of Response Rates in Surveys by the News Media and Government Contractor Survey Research Firms

Assessing Within-Household Selection Methods in Household Mail Surveys

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