Presentation slides - Social Science Research Commons

Invisible, Hidden, Vulnerable, and Closed Populations and Data

Collection: Issues, Challenges, and Strategies

Roddrick Colvin

City University of New York

John Jay College of Criminal Justice

Department of Public Management

Introduction

1. Agenda

2. Research focus

3. Research populations

Introduction

1. Agenda

1. discussion of terminology

2. typology of concept

3. strategies and methods

4. case study

2. Research focus

3. Research populations

Introduction

1. Agenda

2. Research focus

1. populations and public service delivery

1. critical incidents

2. emergency management

3. Research populations

Introduction

1. Agenda

2. Research focus

3. Research populations

1. LGBT public employees

2. transgender workers

3. lesbian and gay police officers

Terminology

In the context of public management, we are often interested in populations are who are difficult to

connect to public goods and services.

There is a lack of clarity about who is difficult to connect to public goods and services.

Hidden, Vulnerable, Invisible, Closed

In the literature, these terms are employed

inconsistently.

Terminology

Disadvantaged or disenfranchised groups (Lambert

& Wiebel 1998)

– Examples: ethnic people, gay and lesbian people, or homeless people

People who do not wish to be found or contacted

(Brackertz 2007)

– Examples: illicit drug users or gang members

Terminology

People who feel they cannot comfortably or safely access goods or services (Jones 2010)

- Example: migrant workers

Persons subject to exploitation due to inequities in culture and reinforced social norms (Israel

2008)

– Examples: sex workers, MSM, injection drug users

Terminology

Broader segments of the population (Jones &

Newburn 2001)

– Examples: old or young people or people with disabilities

Populations who are not identified or included in data collection or service delivery plans

(Cruikshank 1991)

– Examples: elderly, casual drug users, mental health recipients

Terminology (Hard to Reach)

Those populations who slip through the net, and may be service resistant (Doherty et al.

2004)

– Examples: seniors who qualify for additional services, ESL populations

Those who actively seek to conceal their group identity (Duncan et al. 2003)

– Examples: wealthy or extremists

Terminology (Stigmatizing?)

Populations have been called:

Obstinate

Recalcitrant

Chronically uninformed

Disadvantaged

Have-not

Illiterate

Multifunctional

Information poor

(Freimuth and Mettger 1990)

Hard to Reach

Origins and Usage

‘hard to reach’

Emerges from medical and health research where

‘hard to reach’ often appears in relation to the ability of health services to reach out to certain groups who are difficult to contact (or difficult to influence using existing techniques).

(Burhansstipanov & Krebs 2005)

Origins and Usage

‘hard to reach’

Social marketing: to affect change in behavior using marketing tools and techniques adopted from the private sector (Walsh 1993).

Social marketing is a consumer focused approach that believes nobody is impossible to reach; it just depends on the approach taken.

From Populations to Characteristics

Young

Old

Rural

People with disabilities

Racial or ethical groups

Singles

Drug users

Former drug users

Militias

Prostitutes

From Populations to Characteristics

Youth gangs

Lesbians

Lesbian nurses

Gay men

Gay police officers

Lesbian police officers

Wealthy

Young trust funders

Victims of domestic violence

From Populations to Characteristics

Sexually active teens

MSM

Undocumented workers

Food pantry users

Uninsured people

Society members

...

From Populations to Characteristics

(Typology)

The best research uses characteristics and attributes as a basic landscape (Jones and Newburn 2001)

The typology and characteristics are important because it can help us think about and better understand the best approaches to gathering data

and/or understanding potential challenges to hard to reach populations.

Characteristics/Attributes

Demography

Cultural

Behavioral

Attitudinal

Administrative

Demographics

Cultural

Behavioral

Attitudinal

Administrative

Methodologies and Strategies for Data

Collection

Qualitative Approach

Snowball Sampling

A technique for finding research subjects. One subject gives the researcher the name of another subject, who in turn provides the name of a third, and so on

(Vogt 1999).

Highly qualitative and exploratory studies call for a purposive non-probability sampling design, which is not after the representativeness of samples.

Snowball Sampling

The snowballing sampling method is akin to the opportunity sampling technique, the

chaining sampling technique and the referral

sampling technique (referred informants).

All forms of convenience sampling

Methodologies and Strategies for Data

Collection

Although they violate the principles of sampling, the use of snowball strategies provides a means of accessing ‘hard to reach’ populations.

Methodologies and Strategies for Data

Collection

Snowball sampling has improved (aided by advancements in technology and process) as a technique and the literature contains evidence of a trend toward more sophisticated methods of sampling frame and error estimation.

Angles on Snowball Sampling

Facility-based

Time-location

Targeted

Response Driven

Facility-based sampling

Recruiting population members from a variety of facilities frequented by members. Also know as institution-based.

Time-location sampling

Time-location sampling randomly selects venues as proxies for randomly selecting population members.

Targeted sampling

Targeted sampling extends the ideas of snowball sampling to include an initial ethnographic assessment aimed at identifying the various networks or subgroups that might exist in a given setting.

Respondent driven sampling

Network-based sampling technique to overcome the bias of traditional convenience samples by using mathematical models that weights the sample to compensate for the fact that the sample was collected in a non-random way. This approach includes an estimate of sample size.

Methodologies and Strategies for Data

Collection

Snowball samples have a number of deficiencies

Problems of representativeness

Finding respondents and initiating ‘chain referral’

Engaging respondents as informal research assistants

Lesbian and Gay Police Officers as a

Case Study

Shared Perceptions about the Workplace

Demographics about the Officers

Interested in 'out' and 'closed' Officers

Demographic, Cultural, Attitudinal Challenges

Lesbian and Gay Police Officers as a

Case Study

2007 Study

USA

Survey

Professional Association

Annual Conference

66 respondents

2009 Study

UK

Online Survey

Profession Association

Extensive Listserve

267 respondents

Lesbian and Gay Police Officers as a

Case Study

2010-11 Study

UK

Key Interviews (GLOs)

[institution based]

Online Survey

Profession Association/GLOs

Geographic Representation

Goal: 43 Policing Units Represented

Reaching Lesbian and Gay

Police Officers

For this hard to reach population …

Creditability matters

Associations members as sampling populations

Collaboration matters

Methods and technology matters

Conclusion

Consideration of 'hard to reach' common in public service delivery and emergency management

Some communities are more difficult than others

Few mechanisms for the truly 'invisible'

Snowballing and social networks help tremendously

References

If you would like a list of references and additional sources, contact me at: rcolvin@jjay.cuny.edu