Doorstep Interactions and Interviewer Effects on the Process Leading to Cooperation or Refusal
Bibliographic Data
| ID | 2330719 |
|---|---|
| Authors | Gabriele B Durrant (0009-0001-3436-1512, Southampton Statistical Sciences Research Institute (S3RI), University of Southampton, Southampton, UK, corresponding author), Julia D’arrigo (Southampton Statistical Sciences Research Institute (S3RI), University of Southampton, Southampton, UK) |
| Year | 2014 |
| Volume | 43 |
| Issue | 3 |
| Pages | 490-518 |
| Publication date | 2014-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Sociological Methods & Research (JOURNAL) |
| Journal identifiers | ISSN: 0049-1241 • E-ISSN: 1552-8294 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0049124114521148 |
| OpenAlex | W2102249371 |
| Language | EN |
| Citations received | 8 |
| References cited | 24 |
This article presents an analysis of interviewer effects on the process leading to cooperation or refusal in face-to-face surveys. The focus is on the interaction between the householder and the interviewer on the doorstep, including initial reactions from the householder, and interviewer characteristics, behaviors, and skills. In contrast to most previous research on interviewer effects, which analyzed final response behavior, the focus here is on the analysis of the process that leads to cooperation or refusal. Multilevel multinomial discrete-time event history modeling is used to examine jointly the different outcomes at each call, taking account of the influence of interviewer characteristics, call histories, and sample member characteristics. The study benefits from a rich data set comprising call record data (paradata) from several face-to-face surveys linked to interviewer observations, detailed interviewer information, and census records. The models have implications for survey practice and may be used in responsive survey designs to inform effective interviewer calling strategies
Focus (optics) · Interview · Machine learning · Multilevel model · Process (computing) · Set (abstract data type) · Sociology · Applied Psychology · Computer Science · Health disparities and outcomes · Healthcare Policy and Management · Psychology · Social Psychology · Survey Methodology and Nonresponse
Refusal Risk Due to Interviewers’ Characteristics and Dealing with Racism in Metropolitan Areas
Using GPS-Paradata to Control the Data Collection Process
Investigating call record data using sequence analysis to inform adaptive survey designs
Assessment of Multiple Membership Multilevel Models
Are National Family Surveys Biased toward the Happy Family? A Multiactor Analysis of Selective Survey Nonresponse
The effect of sociodemographic (mis)match between interviewers and respondents on unit and item nonresponse in Belgium
Interviewer Effects on Cooperation during Initial and Refusal Conversion Fieldwork Phases in Telephone Panel Surveys
Interpersonal Perceptions and Interviewer Effects in Face-to-Face Surveys
Responsive Design for Household Surveys
Nonresponse in Household Interview Surveys
The Effects of Incentives, Interview Length, and Interviewer Characteristics on Response Rates in a Cati-Study
The determinants of the duration of contraceptive use in China
Consequences of family disruption on children’s educational outcomes in Norway
The Effects of Interviewer and Respondent Characteristics on Response Behavior in Panel Surveys
Fear of Crime in the United States
Survey response rate levels and trends in organizational research
Optimal Times to Contact Sample Households
Understanding The Decision to Participate in a Survey
Effects of Interviewer Attitudes and Behaviors on Refusal in Household Surveys
Evaluating the Measurement Error of Interviewer Observed Paradata
| Citations per year | 0.89 |
|---|---|
| Citation span | 2017 - 2024 (8) |
| Highly cited | No |