The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Skype interviewing: The new generation of online synchronous interview in qualitative research
Open accessAbstract
The most commonly used method for data collection in qualitative research is interviewing. With technology changes over the last few decades, the online interview has overcome time and financial constraints, geographical dispersion, and physical mobility boundaries, which have adversely affected onsite interviews. Skype as a synchronous online service offers researchers the possibility of conducting individual interviews as well as small focus groups, comparable to onsite types. This commentary presents the characteristics of the Skype interview as an alternative or supplemental choice to investigators who want to change their conventional approach of interviewing.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Doing Synchronous Online Focus Groups With Young People: Methodological Reflections
Fox, F. E., Morris, M., & Rumsey, N. (2007) · Qualitative Health Research · doi:10.1177/1049732306298754 · Cited by 248
Cited by
Tigwell, G. W. (2021) · Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445620 · Cited by 73
Williams, S., Sheffield, D., & Knibb, R. C. (2015) · Health Psychology Open · doi:10.1177/2055102915603051 · Cited by 65
Impacts of COVID-19 on clinical research in the UK: a multi-method qualitative case study
Wyatt, D., Faulkner-Gurstein, R., Cowan, H., & Wolfe, C. D. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0256871 · Cited by 35
A randomized experiment evaluating survey mode effects for video interviewing
Endres, K., Hillygus, D. S., DeBell, M., & Iyengar, S. (2023) · Political Science Research and Methods · doi:10.1017/psrm.2022.30 · Cited by 22
Transnationalism and parenthood in a new country
Merry, L., & Edwards, N. (2019) · International Journal of Migration, Health and Social Care · doi:10.1108/ijmhsc-02-2019-0023 · Cited by 3
Metadata
- Authors
- Janghorban, R., Roudsari, R. L., & Taghipour, A.
- Venue
- International Journal of Qualitative Studies on Health and Well-being
- Publisher
- Informa UK Limited
- Published
- 2014-01
- Volume
- 9
- Issue
- 1
- Pages
- 24152-24152
- ISSN
- 1748-2623 (ISSN-L)
- 1748-2631
- OpenAlex
- W2072438905
- Cited by
- 560
- References
- 1
- FWCI
- 45.40
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.