A randomized experiment evaluating survey mode effects for video interviewing
Bibliographic Data
| ID | 6342004 |
|---|---|
| Authors | Kyle Endres (0000-0002-1500-6339, University of Northern Iowa, corresponding author), D Sunshine Hillygus (0000-0001-9057-3344, Duke University), Matthew Debell (0000-0002-1126-1586, Stanford University), Sharad Iyengar (0000-0003-2406-719X, Stanford University), Shanto Iyengar |
| Year | 2023 |
| Volume | 11 |
| Issue | 1 |
| Pages | 144-159 |
| Publication date | 2023-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Political Science Research and Methods (JOURNAL) |
| Journal identifiers | ISSN: 2049-8470 • E-ISSN: 2049-8489 |
| Publisher | Cambridge University Press (CUP) (PUBLISHER) |
| DOI | 10.1017/psrm.2022.30 |
| OpenAlex | W4289130711 |
| Language | EN |
| Citations received | 4 |
| References cited | 35 |
Rising costs and challenges of in-person interviewing have prompted major surveys to consider moving online and conducting live web-based video interviews. In this paper, we evaluate video mode effects using a two-wave experimental design in which respondents were randomized to either an interviewer-administered video or interviewer-administered in-person survey wave after completing a self-administered online survey wave. This design permits testing of both within- and between-subject differences across survey modes. Our findings suggest that video interviewing is more comparable to in-person interviewing than online interviewing across multiple measures of satisficing, social desirability, and respondent satisfaction
Interview · Mode (computer interface · Randomized experiment · Respondent · Satisficing · Sociology · Statistics · Survey research · Applied Psychology · Computer Science · Focus Groups and Qualitative Methods · Mathematics · Psychology · Social and Intergroup Psychology · Social Psychology · Survey Methodology and Nonresponse · Artificial Intelligence
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| Unique citing works | 4 |
|---|---|
| Citations per year | 4 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |