Using the Internet to Recruit Respondents for Offline Interviews in Criminological Studies
Bibliographic Data
| ID | 6404978 |
|---|---|
| Authors | R V Gundur (0000-0003-4241-8811, University of Liverpool, Liverpool, England, UK, corresponding author) |
| Year | 2019 |
| Volume | 55 |
| Issue | 6 |
| Pages | 1731-1756 |
| Publication date | 2019-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Affairs Review (JOURNAL) |
| Journal identifiers | ISSN: 1078-0874 • E-ISSN: 1552-8332 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/1078087417740430 |
| OpenAlex | W2771685231 |
| Language | EN |
| Citations received | 12 |
| References cited | 53 |
Current and ex-gang members are hard-to-reach populations for research purposes. To date, researchers have resorted to embedding themselves long-term or recruiting individuals of interest within a target community. Typically, such studies provide a great deal of empirical depth but not necessarily empirical breadth given their lack of comparative analysis and generalizability. Moreover, they often rely on snowballing or chain referral methods that depend on the networks of the recruited seeds. This article explores the use of the Internet to recruit such individuals for face-to-face interviews. This strategy has been employed in settings outside criminology to good effect. This article shows that the online recruitment of current and ex-gang members not only reduces the time necessary to develop contacts but also allows researchers to triangulate data by encountering a diverse array of respondents
Criminology · Empirical research · Face (sociological concept · Generalizability theory · Internet privacy · Political science · Public relations · Social science · Sociology · The Internet · World Wide Web · Computer Science · Focus Groups and Qualitative Methods · HIV, Drug Use, Sexual Risk · Psychology · Sex work and related issues · Social Psychology
When prison gangs become organized crime
Financial risk management strategies of small to medium illicit drug enterprises
Who researches organised crime? A review of organised crime authorship trends (2004–2019)
‘Addiction never seems to be historic’
Experiences of respondent-driven sampling in online research among men who have sex with men in other countries (literature review)
An analysis of the United Kingdom’s cannabis market using crowdsourced data
Homesick for Something That’s Never Going to Be Again”
Behind Closed Doors
Collecting Data in Forbidden Places
Illegal or unethical? Situated ethics in the context of a dual economy
Driving Down a Road and Not Knowing Where You're At
Finding the Sweet Spot
Wheeling and Dealing
Digital Divide
Cracks in the Pavement
Islands in the Street
A tale of two cities
Research Article: Recruitment of hard-to-reach population subgroups via adaptations of the snowball sampling strategy
A Snowball's Chance in Hell
The Internet and Social Life
Sampling lesbian, gay, and bisexual populations.
Sampling hard to reach populations
The Stickup Kids
On the Run
The Almighty Latin King and Queen Nation
Signal Crimes
Prisoner Reentry and Crime in America
Real Gangstas
Drug War Zone
How Gangs Work
Being there… and there… and there
Using the Internet to Recruit Rural MSM for HIV Risk Assessment
Burglars on the Job
One of the Guys
Is the Internet Changing Social Life? It Seems the More Things Change, the More They Stay the Same
Wages of Crime
An Economic Analysis of a Drug-Selling Gang's Finances
Criminal and Routine Activities in Online Settings
Sampling Knowledge
How Not to Lie with Ethnography
Offenders on Offending
Using the Internet for Survey Research
In Search of Respect
Breaking and Entering
Field Methods and Techniaues
Respondent-Driven Sampling
Targeted Sampling
An invitation to use craigslist ads to recruit respondents from stigmatized groups for qualitative interviews
Researching online populations
Researching shyness
The Martian and the Convert
From 'What the F#@% is a Facebook?' to 'Who Doesn't Use Facebook
| Unique citing works | 12 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2018 - 2026 (9) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 12 |