Consequences of Survey Nonresponse

Peytchev, Andy

doi:10.1177/0002716212461748

Cited by 132 publications

(92 citation statements)

References 31 publications

(24 reference statements)

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“…Third, as noted earlier, the response rate of the survey was rather low, although it compares favorably with the response rates of many other large-scale telephone surveys conducted in recent years, particularly those involving Latinas/os. To be sure, a growing literature has demonstrated that low response rates need not imply biased results (Groves 2006;Massey and Tourangeau 2013;Peytchev 2013). Nevertheless, it would be ideal to have a higher response rate in the future.…”

Section: Discussionmentioning

confidence: 99%

Religion and Gender Ideologies among Working-Age U.S. Latinas/os

et al. 2017

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Numerous studies have documented religious variations in gender ideology in the United States. Despite growth, diversification, and religious ferment among Latinas/os, few have investigated this topic within the Latina/o population. Drawing on insights from gender theory and prior empirical research, we develop several hypotheses regarding the links between religious affiliation, belief, and practice and three distinct domains of traditionalist gender ideology (respective beliefs in female domesticity, gender essentialism, and patriarchy) among U.S. Latinas/os. These hypotheses are tested using data from the Hispanic oversample of the National Survey of Religion and Family Life (NSRFL), a nationwide probability sample of working-age adults (ages 18-59). The results underscore the complex associations between multiple dimensions of religious involvement and specific facets of gender ideology among Latinas/os. Several promising directions for future research on this understudied population are outlined, and study limitations are identified.

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Section: Discussionmentioning

confidence: 99%

Religion and Gender Ideologies among Working-Age U.S. Latinas/os

et al. 2017

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“…Unit nonresponse was the subject of two National Research Council reports and a special issue of a major social science journal (National Research Council 2011, 2013Massey and Tourangeau 2013). The Office of Management and Budget (2006) has set a target response rate for federal censuses and surveys, and recommends analysis of nonresponse bias when the unit response rate is less than 80 percent.…”

Section: Rising Unit Nonresponse Ratesmentioning

confidence: 99%

Household Surveys in Crisis

Meyer

Mok

Sullivan

2015

Journal of Economic Perspectives

402

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Household surveys, one of the main innovations in social science research of the last century, are threatened by declining accuracy due to reduced cooperation of respondents. While many indicators of survey quality have steadily declined in recent decades, the literature has largely emphasized rising nonresponse rates rather than other potentially more important dimensions to the problem. We divide the problem into rising rates of nonresponse, imputation, and measurement error, documenting the rise in each of these threats to survey quality over the past three decades. A fundamental problem in assessing biases due to these problems in surveys is the lack of a benchmark or measure of truth, leading us to focus on the accuracy of the reporting of government transfers. We provide evidence from aggregate measures of transfer reporting as well as linked microdata. We discuss the relative importance of misreporting of program receipt and conditional amounts of benefits received, as well as some of the conjectured reasons for declining cooperation and for survey errors. We end by discussing ways to reduce the impact of the problem including the increased use of administrative data and the possibilities for combining administrative and survey data.

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“…Third, response rates suggest that the findings should be interpreted with caution with regard to representativeness, although response rates should not be used as the only measure of representativeness. 44 This study employed probability sampling to obtain a representative sample, but lower response rates were countervailing forces; researchers must consider the juxtaposition of representative sampling methods with actual participation, loss to follow-up and other factors. [45][46][47] In assessing representativeness, one useful comparison is that between study estimates and those from other sources, such as the 2012 NYC Community Health Survey (CHS).…”

Section: Discussionmentioning

confidence: 99%

“Racism Still Exists”: A Public Health Intervention Using Racism “Countermarketing” Outdoor Advertising in a Black Neighborhood

Kwate

2014

J Urban Health

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The negative health effects of racism have been well documented, but how to intervene to redress these effects has been little studied. This study reports on RISE (Racism Still Exists), a high-risk, high-reward public health intervention that used outdoor advertising to disseminate a "countermarketing" campaign in New York City (NYC). Over 6 months, the campaign advertised stark facts about the persistence of racism in the USA. A probability sample of N = 144 participants from two predominantly Black NYC neighborhoods completed measures of health status, health behaviors, and social attitudes. Three months postintervention, statistically significant declines in psychological distress were seen among study participants who were exposed to the campaign compared to those who were not. There were no changes in other hypothesized outcomes. The campaign also generated significant public discourse, particularly in social media. The results suggest that racism countermarketing campaigns may have promise as a community-based intervention to address health inequalities.

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Consequences of Survey Nonresponse

Cited by 132 publications

References 31 publications

Religion and Gender Ideologies among Working-Age U.S. Latinas/os

Religion and Gender Ideologies among Working-Age U.S. Latinas/os

Household Surveys in Crisis

“Racism Still Exists”: A Public Health Intervention Using Racism “Countermarketing” Outdoor Advertising in a Black Neighborhood

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