Response and nonresponse
Results
All (13)
All (13) (0 to 10 of 13 results)
- Articles and reports: 12-001-X202200100001Description:
In this study, we investigate to what extent the respondent characteristics age and educational level may be associated with undesirable answer behaviour (UAB) consistently across surveys. We use data from panel respondents who participated in ten general population surveys of CentERdata and Statistics Netherlands. A new method to visually present UAB and an inventive adaptation of a non-parametric effect size measure are used. The occurrence of UAB of respondents with specific characteristics is summarized in density distributions that we refer to as respondent profiles. An adaptation of the robust effect size Cliff’s Delta is used to compare respondent profiles on the potentially consistent occurrence of UAB across surveys. Taking all surveys together, the degree of UAB varies by age and education. The results do not show consistent UAB across individual surveys: Age and educational level are associated with a relatively higher occurrence of UAB for some surveys, but a relatively lower occurrence for other surveys. We conclude that the occurrence of UAB across surveys may be more dependent on the survey and its items than on respondent’s cognitive ability.
Release date: 2022-06-21 - Articles and reports: 12-001-X201800154929Description:
The U.S. Census Bureau is investigating nonrespondent subsampling strategies for usage in the 2017 Economic Census. Design constraints include a mandated lower bound on the unit response rate, along with targeted industry-specific response rates. This paper presents research on allocation procedures for subsampling nonrespondents, conditional on the subsampling being systematic. We consider two approaches: (1) equal-probability sampling and (2) optimized allocation with constraints on unit response rates and sample size with the objective of selecting larger samples in industries that have initially lower response rates. We present a simulation study that examines the relative bias and mean squared error for the proposed allocations, assessing each procedure’s sensitivity to the size of the subsample, the response propensities, and the estimation procedure.
Release date: 2018-06-21 - 3. A few remarks on a small example by Jean-Claude Deville regarding non-ignorable non-response ArchivedArticles and reports: 12-001-X201600214661Description:
An example presented by Jean-Claude Deville in 2005 is subjected to three estimation methods: the method of moments, the maximum likelihood method, and generalized calibration. The three methods yield exactly the same results for the two non-response models. A discussion follows on how to choose the most appropriate model.
Release date: 2016-12-20 - 4. Introducing Adaptive Design Elements in the Panel Study “Labour Market and Social Security” (PASS) ArchivedArticles and reports: 11-522-X201300014277Description:
This article gives an overview of adaptive design elements introduced to the PASS panel survey in waves four to seven. The main focus is on experimental interventions in later phases of the fieldwork. These interventions aim at balancing the sample by prioritizing low-propensity sample members. In wave 7, interviewers received a double premium for completion of interviews with low-propensity cases in the final phase of the fieldwork. This premium was restricted to a random half of the cases with low estimated response propensity and no final status after four months of prior fieldwork. This incentive was effective in increasing interviewer effort, however, led to no significant increase in response rates.
Release date: 2014-10-31 - Articles and reports: 12-001-X200900211043Description:
Business surveys often use a one-stage stratified simple random sampling without replacement design with some certainty strata. Although weight adjustment is typically applied for unit nonresponse, the variability due to nonresponse may be omitted in practice when estimating variances. This is problematic especially when there are certainty strata. We derive some variance estimators that are consistent when the number of sampled units in each weighting cell is large, using the jackknife, linearization, and modified jackknife methods. The derived variance estimators are first applied to empirical data from the Annual Capital Expenditures Survey conducted by the U.S. Census Bureau and are then examined in a simulation study.
Release date: 2009-12-23 - 6. Effects of measurement on obesity and morbidity ArchivedArticles and reports: 82-003-X200800210564Geography: CanadaDescription:
This article compares associations between body mass index categories based on self-reported versus measured data with selected health conditions. The goal is to determine if the misclassification resulting from the use of self-reported data alters associations between excess weight and these health conditions. The analysis is based on 2,667 respondents aged 40 or older from the 2005 Canadian Community Health Survey.
Release date: 2008-05-14 - Articles and reports: 82-003-X200800210569Geography: CanadaDescription:
Based on a representative sample of the Canadian population, this article quantifies the bias resulting from the use of self-reported rather than directly measured height, weight and body mass index. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey, who provided self-reported values for height and weight and were then measured.
Release date: 2008-05-14 - Articles and reports: 11-522-X200600110450Description:
Using survey and contact attempt history data collected with the 2005 National Health Interview Survey (NHIS), a multi-purpose health survey conducted by the National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC), we set out to explore the impact of participant concerns/reluctance on data quality, as measured by rates of partially complete interviews and item nonresponse. Overall, results show that respondents from households where some type of concern or reluctance (e.g., "too busy," "not interested") was expressed produced higher rates of partially complete interviews and item nonresponse than respondents from households where concern/reluctance was not expressed. Differences by type of concern were also identified.
Release date: 2008-03-17 - Articles and reports: 11-522-X20050019446Description:
One method used to examine the effect of nonresponse involves comparing survey participants who require less effort on the part of the interviewer with those who require more effort. A persistent problem for researchers involves the criteria to use in determining membership in high effort groups.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019468Description:
At the time of recruitment, the participants in a longitudinal survey are chosen to be representative of a population. As time goes on, typically some of the participants will drop out, and dropout may be informative in the sense of depending on the response variables of interest. However, even if dropout is minimal, the participants who continue to the second and third waves of a longitudinal survey may differ from those they supposedly represent in subtle ways. It is clearly important to take such possibilities into account when designing and analyzing longitudinal survey data before and after an intervention.
Release date: 2007-03-02
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Analysis (13)
Analysis (13) (0 to 10 of 13 results)
- Articles and reports: 12-001-X202200100001Description:
In this study, we investigate to what extent the respondent characteristics age and educational level may be associated with undesirable answer behaviour (UAB) consistently across surveys. We use data from panel respondents who participated in ten general population surveys of CentERdata and Statistics Netherlands. A new method to visually present UAB and an inventive adaptation of a non-parametric effect size measure are used. The occurrence of UAB of respondents with specific characteristics is summarized in density distributions that we refer to as respondent profiles. An adaptation of the robust effect size Cliff’s Delta is used to compare respondent profiles on the potentially consistent occurrence of UAB across surveys. Taking all surveys together, the degree of UAB varies by age and education. The results do not show consistent UAB across individual surveys: Age and educational level are associated with a relatively higher occurrence of UAB for some surveys, but a relatively lower occurrence for other surveys. We conclude that the occurrence of UAB across surveys may be more dependent on the survey and its items than on respondent’s cognitive ability.
Release date: 2022-06-21 - Articles and reports: 12-001-X201800154929Description:
The U.S. Census Bureau is investigating nonrespondent subsampling strategies for usage in the 2017 Economic Census. Design constraints include a mandated lower bound on the unit response rate, along with targeted industry-specific response rates. This paper presents research on allocation procedures for subsampling nonrespondents, conditional on the subsampling being systematic. We consider two approaches: (1) equal-probability sampling and (2) optimized allocation with constraints on unit response rates and sample size with the objective of selecting larger samples in industries that have initially lower response rates. We present a simulation study that examines the relative bias and mean squared error for the proposed allocations, assessing each procedure’s sensitivity to the size of the subsample, the response propensities, and the estimation procedure.
Release date: 2018-06-21 - 3. A few remarks on a small example by Jean-Claude Deville regarding non-ignorable non-response ArchivedArticles and reports: 12-001-X201600214661Description:
An example presented by Jean-Claude Deville in 2005 is subjected to three estimation methods: the method of moments, the maximum likelihood method, and generalized calibration. The three methods yield exactly the same results for the two non-response models. A discussion follows on how to choose the most appropriate model.
Release date: 2016-12-20 - 4. Introducing Adaptive Design Elements in the Panel Study “Labour Market and Social Security” (PASS) ArchivedArticles and reports: 11-522-X201300014277Description:
This article gives an overview of adaptive design elements introduced to the PASS panel survey in waves four to seven. The main focus is on experimental interventions in later phases of the fieldwork. These interventions aim at balancing the sample by prioritizing low-propensity sample members. In wave 7, interviewers received a double premium for completion of interviews with low-propensity cases in the final phase of the fieldwork. This premium was restricted to a random half of the cases with low estimated response propensity and no final status after four months of prior fieldwork. This incentive was effective in increasing interviewer effort, however, led to no significant increase in response rates.
Release date: 2014-10-31 - Articles and reports: 12-001-X200900211043Description:
Business surveys often use a one-stage stratified simple random sampling without replacement design with some certainty strata. Although weight adjustment is typically applied for unit nonresponse, the variability due to nonresponse may be omitted in practice when estimating variances. This is problematic especially when there are certainty strata. We derive some variance estimators that are consistent when the number of sampled units in each weighting cell is large, using the jackknife, linearization, and modified jackknife methods. The derived variance estimators are first applied to empirical data from the Annual Capital Expenditures Survey conducted by the U.S. Census Bureau and are then examined in a simulation study.
Release date: 2009-12-23 - 6. Effects of measurement on obesity and morbidity ArchivedArticles and reports: 82-003-X200800210564Geography: CanadaDescription:
This article compares associations between body mass index categories based on self-reported versus measured data with selected health conditions. The goal is to determine if the misclassification resulting from the use of self-reported data alters associations between excess weight and these health conditions. The analysis is based on 2,667 respondents aged 40 or older from the 2005 Canadian Community Health Survey.
Release date: 2008-05-14 - Articles and reports: 82-003-X200800210569Geography: CanadaDescription:
Based on a representative sample of the Canadian population, this article quantifies the bias resulting from the use of self-reported rather than directly measured height, weight and body mass index. The analysis is based on 4,567 respondents to the 2005 Canadian Community Health Survey, who provided self-reported values for height and weight and were then measured.
Release date: 2008-05-14 - Articles and reports: 11-522-X200600110450Description:
Using survey and contact attempt history data collected with the 2005 National Health Interview Survey (NHIS), a multi-purpose health survey conducted by the National Center for Health Statistics (NCHS), Centers for Disease Control and Prevention (CDC), we set out to explore the impact of participant concerns/reluctance on data quality, as measured by rates of partially complete interviews and item nonresponse. Overall, results show that respondents from households where some type of concern or reluctance (e.g., "too busy," "not interested") was expressed produced higher rates of partially complete interviews and item nonresponse than respondents from households where concern/reluctance was not expressed. Differences by type of concern were also identified.
Release date: 2008-03-17 - Articles and reports: 11-522-X20050019446Description:
One method used to examine the effect of nonresponse involves comparing survey participants who require less effort on the part of the interviewer with those who require more effort. A persistent problem for researchers involves the criteria to use in determining membership in high effort groups.
Release date: 2007-03-02 - Articles and reports: 11-522-X20050019468Description:
At the time of recruitment, the participants in a longitudinal survey are chosen to be representative of a population. As time goes on, typically some of the participants will drop out, and dropout may be informative in the sense of depending on the response variables of interest. However, even if dropout is minimal, the participants who continue to the second and third waves of a longitudinal survey may differ from those they supposedly represent in subtle ways. It is clearly important to take such possibilities into account when designing and analyzing longitudinal survey data before and after an intervention.
Release date: 2007-03-02
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