Geographic Correlates of Nonresponse in California

Jans, Matt; McLaughlin, Kevin; Viana, Joseph; Grant, David; Park, Royce; Ponce, Ninez A.

doi:10.1002/9781118884997.ch38

Cited by 2 publications

(4 citation statements)

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“…Our findings reveal cross-national differences in the country-level indicators that influence survey response rates (see Table 3), thus raising the question as to whether differences in the social structure across countries are systematically related to non-response within a country. Such systematic non-response bias would, in turn, affect cross-national comparability in cross-national settings (Jans et al, 2018).…”

Section: Limitations and Further Researchmentioning

confidence: 99%

“…While previous cross-cultural research on non-response has often focused on comparing response rates, (De Leeuw et al, 2018;Hox and De Leeuw, 1994;Johnson et al, 2020) it has not examined related non-response bias for feasibility reasons (i.e., response bias analyses require the characteristics of a sample to be known before it is recruited, as demonstrated by Jans et al (2018). However, as low response rates are likely to result in more systematic non-response bias than high response rates, comparing bias across studies with varying response rates from different countries can be problematic 5 .…”

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confidence: 99%

“…While many research studies have examined survey design factors and sample characteristics, research on the differences in cross-country nonresponse is still in its infancy (Johnson et al, 2010). Previous research in this area has focused on cultural dimensions and their link to non-response in interviewer-administered surveys (Jans et al, 2018;Johnson et al, 2010) and on cross-cultural dimensions of internet consumption (Hermeking, 2005). To date, macroeconomic and country-level factors have mostly been addressed only in theoretical models.…”

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confidence: 99%

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A Meta-Analysis of How Country-Level Factors Affect Web Survey Response Rates

Daikeler

Silber

Bošnjak

2021

International Journal of Market Research

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A major challenge in web-based cross-cultural data collection is varying response rates, which can result in low data quality and non-response bias. Country-specific factors such as the political and demographic, economic, and technological factors as well as the socio-cultural environment may have an effect on the response rates to web surveys. This study evaluates web survey response rates using meta-analytical methods based on 110 experimental studies from seven countries. Three dependent variables, so-called effect sizes, are used: the web response rate, the response rate to the comparison survey mode, and the difference between the two response rates. The meta-analysis indicates that four country-specific factors (political and demographic, economic, technological, and socio-cultural) impact the magnitude of web survey response rates. Specifically, web surveys achieve high response rates in countries with high population growth, high internet coverage, and a high survey participation propensity. On the other hand, web surveys are at a disadvantage in countries with a high population age and high cell phone coverage. This study concludes that web surveys can be a reliable alternative to other survey modes due to their consistent response rates and are expected to be used more frequently in national and international settings.

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Section: Limitations and Further Researchmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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A Meta-Analysis of How Country-Level Factors Affect Web Survey Response Rates

Daikeler

Silber

Bošnjak

2021

International Journal of Market Research

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“…For example, differences in answer bias between countries could look like differences in content, leading researchers to derive inaccurate insights from the incorrectly assumed differences (Van Rosmalen et al, 2010). Nor does extant research detail how the influence of individual demographic characteristics and psychological traits shifts across cultures (Jans, et al, 2018; Roxas and Stoneback, 2004). Attempts to link cultural and survey nonresponse theory are relatively new in extant research (Jans, et al, 2018; Johnson et al, 2010), and so Zhou et al (2017) suggest researching whether respondents’ cultural and socialization background influence their answer behavior.…”

Section: Introductionmentioning

confidence: 99%

Cultural patterns of evasive answer bias in surveys

Messner

2022

Int'l Jnl of Cross Cultural Management

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Complete and accurate survey data are key input for research, policy, and decision making in many disciplines. However, survey respondents do not always fully cooperate, such that they skip some items or overuse the “don’t know” answer option. Evasive answer bias reflects different information than overall survey response rates, leading to item missing data and causing substantial inaccuracies in survey results. Using data from the World Values Survey, this article identifies the magnitude of the problem, then relies on individual data and country-level cultural values to derive patterns of and reasons for this evasive answer bias. While skipping answers happens less often in collectivistic and low power distance cultures, the choice of the “don’t know” option is not significantly influenced by any cultural dimension. Across countries, the effect of cultural values is stronger for female than for male respondents. Accordingly, cross-cultural researchers are advised to use advanced imputation rather than deletion methods for handling missing data.

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Geographic Correlates of Nonresponse in California

Cited by 2 publications

References 50 publications

A Meta-Analysis of How Country-Level Factors Affect Web Survey Response Rates

A Meta-Analysis of How Country-Level Factors Affect Web Survey Response Rates

Cultural patterns of evasive answer bias in surveys

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