Evidence map›Paper›PMID 36187204›Full record

ArticleSN social sciences2022

Preparing for online interviews during Covid-19: the intricacies of technology and online human interaction.

Şahizer Samuk Carignani, Sandra Burchi

Abstract read
In one paragraph

Article in SN social sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Şahizer Samuk CarignaniLYNX Research Center, IMT School for Advanced Studies, Lucca, Italy.
Sandra BurchiUBIQUAL, Department of Political Science, University of Pisa, Via Filippo Serafini, 3, 56126 Pisa, PI Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How can we guarantee that "extracting data" is realised most respectfully and reciprocally online? How can we receive the most relevant responses from the interviewee in online interviews? These questions have been even more pertinent during the Covid-19 pandemic. In this paper, we aim to demonstrate how the preparation of the research process that involves online interviews with highly skilled Italians abroad, functions when a group of social scientists come together, and take decisions on criteria and modality of virtual fieldwork. The intricacies of the online interviews are numerous. Yet, there is a research gap regarding the details of the process of conducting them. We find that the periods before, during and after online interviews indicate a whole learning process, which is neglected in the current literature. Hence, we argue that organisation, use of time, density of the themes, mindfulness, synchronisation and handling of sensitive issues are the main tenets of the art of doing online interviews. In this paper, we explore and explain each aspect, also in a chronological manner, benefiting from the previous literature and contributing to research with our anthropological and sociological insights about using technology whilst conducting online interviews with highly skilled Italians abroad.

Indexed as

COVID-19Highly skilledOnline interviewsQualitative researchVirtual fieldwork

Identifiers

PMID36187204
PMCPMC9511447

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.