Interviewer effects in food acquisition surveys
Bibliographic Data
| ID | 15096412 |
|---|---|
| Authors | Ai Rene Ong (0000-0002-3118-3458, University of Michigan, corresponding author), Mengyao Hu (0000-0002-9044-9009, University of Michigan), Brady T West (0000-0003-0160-1388, University of Michigan), John A Kirlin (Economic Research Service) |
| Year | 2018 |
| Volume | 21 |
| Issue | 10 |
| Pages | 1781-1793 |
| Publication date | 2018-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Public Health Nutrition (JOURNAL) |
| Journal identifiers | ISSN: 1368-9800 • E-ISSN: 1475-2727 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/s1368980018000137 |
| PMID | 29467041 |
| OpenAlex | W2790583513 |
| Language | EN |
| References cited | 16 |
Objective To understand the effects of interviewers on the responses they collect for measures of food security, income and selected survey quality measures (i.e. discrepancy between reported Supplemental Nutrition Assistance Program (SNAP) status and administrative data, length of time between initial and final interview, and missing income data) in the US Department of Agriculture’s National Household Food Acquisition and Purchase Survey (FoodAPS). Design Using data from FoodAPS, multilevel models with random interviewer effects were fitted to estimate the variance in each outcome measure arising from effects of the interviewers. Covariates describing each household’s socio-economic status, demographics and experience in taking the survey, and interviewer-level experience were included as fixed effects. The variance components in the outcomes due to interviewers were estimated. Outlier interviewers were profiled. Setting Non-institutionalized households in the continental USA (April 2012–January 2013). Subjects Individuals ( n 14 317) in 4826 households who responded to FoodAPS. Results There was a substantial amount of variability in the distributions of the outcomes examined (i.e. time between initial and final interview, reported values for food security, individual income, missing income) among the FoodAPS interviewers, even after accounting for the fixed effects of the household- and interviewer-level covariates and removing extreme outlier interviewers. Conclusions Interviewers may introduce error in food acquisition survey data when they are asked to interact with the respondents. Managers of future surveys with similarly complex data collection procedures could consider using multilevel models to adaptively identify and retrain interviewers who have extreme effects on data collection outcomes
Environmental health · Interview · Political science · Applied Psychology · Economic and Environmental Valuation · Medicine · Psychology · Survey Methodology and Nonresponse
Linear Mixed Models
Socioeconomic differences in food purchasing behaviour and suggested implications for diet‐related health promotion
Identifying the Effects of SNAP (Food Stamps) on Child Health Outcomes When Participation Is Endogenous and Misreported
Patterns of food acquisition in Brazilian households and associated factors
Socio-economic pathways to diet
Consumer Food System Participation
Undercoverage Rates and Undercoverage Bias in Traditional Housing Unit Listing
How Much of Interviewer Variance is Really Nonresponse Error Variance
Interviewer Gender Effects on Survey Responses to Marriage-Related Questions
An examination of income-related disparities in the nutritional quality of food selections among Canadian households from 1986-2001
| Citation velocity | historical |
|---|---|
| Highly cited | No |