Index

Factors in Studying Employment for Persons with Disability

ISBN: 978-1-78714-606-8, eISBN: 978-1-78714-605-1

ISSN: 1479-3547

Publication date: 4 September 2017

This content is currently only available as a PDF

Citation

(2017), "Index", Factors in Studying Employment for Persons with Disability (Research in Social Science and Disability, Vol. 10), Emerald Publishing Limited, Leeds, pp. 273-282. https://doi.org/10.1108/S1479-354720170000010012

Publisher

:

Emerald Publishing Limited

Copyright © 2017 Emerald Publishing Limited


INDEX

AbleData
, 255

Ableist attitudes, of employees
, 161

Accelerated technological change
, 251

Accelerating transformation
, 134

Accessibility
, 250–251, 254, 255, 263

Accommodations
, 168

actual and unknown costs
, 172

lack of
, 183

uncertainty of
, 159

Activities of daily living (ADLs)
, 207, 214

ADLs. See Activities of daily living (ADLs)

Adolescent, results of studies
, 195

AHS data
, 71

American Community Survey (ACS)
, 12, 250

American economy
, 251

American Housing Survey (AHS)
, 37, 39

Americans with Disabilities Act of 1990
, 4, 83, 158, 252, 254

Artificial intelligence (AI)
, 261

Asthma
, 84

Autism spectrum disorder (ASD)
, 198

Average marginal effects (AME)
, 12

Awareness program
, 148

Behavioral concerns
, 159

Best practices
, 157, 160, 164, 166, 168, 169, 172

Biopsychological model
, 132

Black employees
, 139, 148

Business Administration
, 137

Canada’s employment rate
, 156

Canadian Association for Community Living 2010
, 183

Canadian business leaders
, 159

Census Region
, 40

Center for Epidemiological Studies Depression Scale (CES-D)
, 213

Certificate

primary school
, 101

secondary school
, 93, 104

Chronic diseases
, 84, 112

disabilities
, 91

women with
, 102

Civil Rights Act of 1964
, 4, 252

Climate diversity
, 162

Collective beliefs
, 160

Commission on Employment Equity (CEE)
, 129

Community inclusion
, 227

Convention on the Rights of Persons with Disabilities (CRPD)
, 149, 165

Corporate commitment
, 168

Corporate culture change
, 160, 161, 168, 174

beliefs and culture
, 158–163

business case for hiring persons with disabilities
, 163–164

coworker attitudes
, 168–171

disability employment improvement
, 173

employees
, 172–173

implications for research
, 174

integrating employees with disabilities
, 156

leadership, from top
, 167–168

methodology
, 157–158

organizational values
, 158–163

recruitment
, 171–172

supervisor attitudes
, 168–171

Corporate social responsibility (CSR)
, 157, 164–167

Corporate values
, 162

Currently Population Survey (CPS)
, 6

analyses of
, 8

Annual Social and Economic Supplement

data
, 12

descriptive statistics
, 13

Demographic variables
, 228

Department of Labor
, 36

Depressive symptoms
, 207, 209, 213, 220

partial correlation matrix
, 215

structural equation model
, 217

Disabilities
, 84, 250–251

attitudes
, 256–257

binaries
, 128

bio-psycho-physio-pathology of
, 147

and complexity
, 258–261

definitions of
, 16

and earned income
, 51–52

and employment
, 251

enhanced telecommunications
, 255–256

experienced labor market disadvantages
, 16

future of work
, 261–263

gendered effects of
, 8, 10–12

identification
, 229–230

increasing demands, for human capital
, 257–258

inequality
, 9

labor market outcomes
, 7

legal changes impact/technological advances
, 250

men, employment/income
, 16

rights movement
, 259

role of technology
, 255

self-care
, 40

by sex
, 90

Social Model approach
, 227

status
, 213

structural equation model
, 217

supply and demand side
, 6

types of
, 142

women

economic inequalities
, 4

employment and income
, 16

equal rights and antidiscrimination legislation
, 4

labor market barriers
, 4

work limiting
, 12

persons reporting percentage
, 15

Disability awareness
, 138

committees
, 175

Disability Visibility Project
, 23

Disabled participants report
, 233

Disabled workers
, 168

Discrimination, legal protections
, 252

Diversity management
, 161, 169

Dunedin Committee on Aging (DCoA)
, 228

Dunedin residents
, 242

Dunedin study participants

characteristics and representativeness
, 229

Earned income
, 37, 38, 40, 41, 44–51, 52–55, 62–66, 68–69

car ownership
, 55–57

children under age
, 5, 52–54

demographic profile
, 41–44

and disabled children
, 55

Earnings

employed men/women with disabilities

disadvantages
, 20

gaps
, 4

income (See Earned income)

linear regression models
, 20

disability status and gender
, 21–22

percent difference, by disability status and gender
, 23

women with disabilities, earnings of
, 210

Economic dependency
, 36

Economic disadvantage
, 227, 239, 240, 241, 243, 245

Economic inequality, gender/disability, role of
, 9

Economic resources
, 232, 233, 239, 241, 242

discretionary spending, money for
, 232

home rental vs. ownership
, 233

household income
, 232

mediating effects of
, 242

Economic self-sufficiency
, 71

Educational attainment
, 15, 26, 57

Education levels
, 101

and cause of daily limits
, 94

EEO laws
, 252

Employer preferences
, 6

Employers’ attitude
, 84

Employment

agencies
, 171

benefits of
, 182

circumstances
, 206

disability
, 251

indicator of successful transition
, 182

logistic regression models
, 16

by disability status and gender
, 17–18

rates by disability status and gender
, 19

rates for women without disabilities
, 16

social and economic level
, 182

Employment Equity Act (EEA)
, 129, 130, 149

Employment opportunities
, 147

Employment rates
, 16, 95, 156

Employment strategies
, 169

Employment trends

of persons with disabilities
, 141

Equal employment opportunity (EEO) policies
, 252

Equity employees
, 149

European Network for Corporate Social Responsibility and Disability
, 166

Experience, lack of
, 183

Family Employment Awareness Training (FEAT) program
, 191

Federal Housing Administration (FHA)
, 38

Feminization of employment norms
, 10

Firm size
, 15

Florida, community-wide survey
, 227

Functional impairment
, vii, viii, ix, x, 227, 229, 230, 241, 243, 244

Gender

disabilities by
, 140

disadvantage of
, 10–11

employment, quantitative labor market research
, 8

earnings gap
, 4, 23, 92

employment relations
, 10

hypothesized associations
, 216

as moderator
, 209–210

supply and demand side
, 6

General Managers
, 167

Government employee
, 15

GPS
, 261

Great Recession
, 36, 41

Gross domestic product (GDP)
, 129, 183

Guidelines for Critical Review Form – Quantitative Studies
, 186

Handicapped Children Act
, 256

Health care
, 251

Health/disability, demographic profile
, 51–52

Health problems, daily activities
, 91

High school diploma
, 104

Hiring persons
, 171

with disabilities
, 165

Households, earned income of
, 52

Housing and Urban Development (HUD)
, 36

administrative data
, 69

administrative records
, 38

assisted housing
, 36

programs
, 38

assisted housing work
, 37, 38–39

car ownership
, 55

demographic profile
, 41–44

demonstrations
, 37

earned income for household heads
, 66

economic self-sufficiency
, 71

health/disability status
, 65

predictors of receipt of earned income
, 69

SNAP (food stamp) benefits
, 58

socioeconomic status (SES)
, 70

young adults
, 41

average educational attainment of
, 41

characteristics of
, 58–63

earned income receipt, predictors of
, 63–67

young householders
, 53

comparison of
, 53–54

Housing assistance
, 39

Housing subsidy
, 38

HUD. See Housing and Urban Development (HUD)

Human capital
, 257

IDL. See Independent living or self-care (IDL)

Independent living or self-care (IDL)
, 14

limitation
, 14

Individuals with Disabilities Education Act (IDEA)
, 256, 262

Information and communication technology (ICT)
, 253

Institutional Review Board (IRB)
, 228

Instrumental activities (IADLs)
, 207, 214

Internal human resource systems
, 138

International Classification of Functioning, Disability and Health (ICF)
, 81, 132

capability approach
, 82

Internet medium
, 256

Intersectionality
, 8–12

disadvantage, multiple dimensions of
, 9

labor market inequalities
, 8

Italian National Institute of Statistics (ISTAT)
, 86

ISTAT
, 2004, 93

IT- SILC
, 2004, 83, 92–94

Job market

conceptual framework
, 81–82

data source
, 86–87

disability, and employment
, 93–97

disabled people, sub-sample of
, 103

multinomial/sequential logit models
, 110–114

sequential logit model, for working conditions
, 104–110

disabled population in Italy
, 115

estimation results, probit regression model
, 97–102

evidence
, 89–93

Italy, legislation on disability
, 85–86

literature review
, 82–84

methodology
, 87–89

Jobs
, 263

autonomy
, 207, 214, 215, 218, 221

characteristics
, 209

structural equation model
, 217

choice
, 8

composition and educational requirements of
, 253

creativity
, 214, 218, 221

market (See Job market)

placements, in labor market
, 199

position, for disability people
, 96

switch
, 253

Knowledge gained
, 194, 196, 197

Labor force participation
, 4, 6

Labour force
, 102

employment
, 80

multinomial logit model
, 89

participation
, 97

willingness to participate
, 82

Labour market
, 10, 80, 253

activity
, 10

British
, 103

disability laws, implementation of
, 109

disadvantage for

people with mental health
, 82

double discrimination
, 101

full-time/part-time
, 107

impact of disability on willingness
, 85

inequalities
, 8

Italian data set
, 81

needs
, 262

outcomes
, 7, 8

disability, gendered effect of
, 8

outcomes of persons
, 81, 82

participation
, 80

research
, 25

worse education, outcome of
, 102

Larry Greiner’s Model
, 131

Learnerships
, 135, 137, 147

Legal protections, against discrimination
, 252

Legislation concerning employment protection
, 85

Lewin’s model
, 131, 132

LGBQT status
, 10

Limited awareness
, 168

Linear regression models
, 20

Living in Ireland Survey
, 2000, 82

Location, demographic profile
, 44–51

Logistic regression models
, 63

Low-wage jobs
, 37

Management practices
, 157, 161, 162

Managerial commitment
, 173

Marital status
, 15, 88, 101, 103, 120

Maximum Likelihood
, 65–67

estimates, analysis of
, 67, 69

function
, 88

Medical advances
, 251

Mental health
, 207, 210

Mentors
, 159, 170

skills of
, 171

Mentorship
, 197

Miami-Dade County demographic structure
, 211

Miami-Dade County population
, 211

Miami-Dade County residents
, 211

Mobility
, 11, 40, 84, 87, 90, 93, 103, 115, 157, 214, 253, 255, 256, 258, 260, 263

Mobility impairments
, 87, 90, 255, 256

Modern discrimination
, 5

Mplus software
, 214

Multidisciplinary vocational rehabilitation intervention
, 191

Multinomial logit model
, 110, 111–112

alternative
, 113–114

Multinomial logit tree
, 110, 113

Multiple disabilities
, 6, 9, 12, 14, 16, 20, 22, 24

Multiple regression
, 240

National Health Interview Survey (NHIS)
, 12

National Longitudinal Transition Study of Special Education Students
, 71

National Qualifications Framework (NQF)
, 137

Netcare
, 139

case study
, 134

disability integration program
, 144

draft disability strategy
, 135

education
, 148

processes
, 131

New York City
, 39

Nondisabled group
, 84

Nondisabled people, in strict sense
, 92

Non-Hispanic black/white
, 13, 15, 18, 21, 211, 214

Non-standard work arrangements
, 7

Occupational therapist
, 189, 191

OECD countries
, 85

Online survey
, 228

Ordinary least squares (OLS) regression
, 12

Organizational citizenship behaviors
, 160

Organizational culture
, 145–147, 161, 260

Organizational development (OD) model
, 131

Organizational justice
, 144, 145

Participation, in social recreational
, 227

Partnerships
, 138

Partnership status
, 231

who do/do not identify, as disabled
, 236–237

with/without functional impairments
, 234

Part-time employment
, 107

Physical disabilities
, 207, 208, 209, 210, 212, 215, 218–221. See also Vocational intervention

future research
, 200

limitations
, 199

participant characteristics
, 187

review of
, 198–199

skills/knowledge gained
, 197

studies

characteristics
, 187

characteristics/overview of
, 188

results of
, 194–196

vocational intervention characteristics
, 187

vocational programs

common components of
, 192–197

employment achievement
, 197

employment, knowledge/perceptions of
, 198

youth, vocational interventions
, 182

Physical impairments
, 141

Physical/mental disability
, 82

Planned behavior theory
, 158

Poverty
, 36–38, 40, 129, 146, 253

AHS data
, 71

deep
, 41

Great Recession
, 41

for women
, 10

Predicted probability
, 12

Preferred Reporting Items for Systematic Reviews and Meta Analysis (PRISMA)
, 184

Pre-labor market inequalities
, 26

Pre-work training
, 172

Principles on Business and Human Rights
, 165

Probit models, marginal effects
, 99–100

Probit regression model
, 97

PsychInfo
, 184

Psychological disabilities
, 170

Public assistance
, 5

Public Housing Authorities (PHAs)
, 37, 38

admission policies
, 71

Public policies
, 259

Quantitative labor market
, 8

Race
, 5, 9, 25, 26, 63, 64, 68, 70, 128, 133, 136, 139, 140, 146, 148, 161, 210–214, 217, 228, 243, 252

disabilities by
, 140

ethnicity
, 214

Reasonable accommodation
, 142, 143

Recruiting policy
, 171

Rehabilitation Act of
, 1973, 252, 256

Rental housing
, 45, 51

Response, categories
, 232

Retention rates per program
, 137

Rust Belt
, 71

Safety, pre-employment training
, 173

Scholars interest
, 9

Scopus
, 184

Search terms, overview of
, 186

Self-sufficiency
, 36, 37

economic
, 36

Self-sufficiency programs
, 70

SEM analysis
, 216

Senior management
, 167

Sensitive groups
, 162

Sensory
, 87

limitations
, 16

Sequential logit model
, 88, 89, 97, 104, 105–106

multinomial, comparison
, 110–114

for working conditions
, 104–110

Sequential logit tree
, 88

alternative
, 107–109

Siebers theory
, 133

Sinako initiative
, 145

Sinako Project
, 137

Skilled labor
, 258

Skills
, 197

employment-related
, 198

through learnerships
, 147

Skills Development Act (SDA)
, 129, 130

Smart phones
, 261

SNAP (food stamp) benefits

assistance
, 44

housing and urban development
, 58–60

program
, 70

Social activities
, 182

Social disadvantage
, 227

Social inclusion
, 233, 241, 242

level of social/recreational/community participation
, 231–232

mediating effects of
, 241, 242

partnership status
, 231

perceived stigma
, 232

Social interaction
, 170

Socializing, with friends/neighbors
, 231

Social justice
, 128

Social model
, 81, 244

approach, to disability
, 227

claims
, 227

of disability
, 226, 258

Social participation
, 262

Social practices
, 9

Social relationships
, 169, 182

Social responsibility
, 128

Socioeconomic disadvantage
, 8

Socioeconomic status (SES)
, 70

South Africa

democratically elected government, postcolonial-post-apartheid
, 129

Integrated National Disability Strategy
, 130

with Netcare
, 138

South African organizations
, 147

South African Qualification Authority’s (SAQA)
, 137

SSSI eligibility
, 83

Stereotyping
, 168

Subjective well-being
, 227, 230–231, 233, 240, 241, 242, 243

Survey of Income and Program Participation (SIPP)
, 39

Systematic review process, flow of studies
, 185

Tech Act
, 255

Technology Assistance for Individuals with Disabilities Act of 1988
, 255

TedWomen Talk
, 5

Time limits
, 71

Total household income
, 239

Training

applicants
, 172

to develop employable skills
, 183

employment or vocational
, 184

Transformational leadership, Netcare CEO
, 145

Transition probabilities
, 81

t-tests
, 233

Turkish hospitality industry
, 163

Uberization
, 251

Uber’s smartphone app
, 251

United States

institutional, demographic and economic changes
, 252

post-industrial information-based economy
, 250

technological innovation
, 251

US Business Leadership Network’s Disability Equality Index
, 166

U.S. Census Bureau
, 250

US Census estimates from 2010
, 206

University degree
, 104

Variables
, 12, 14, 16, 19, 20, 38, 62, 64, 65, 68, 70, 80, 83, 89, 97, 98, 101, 103–105, 110, 112, 211, 213–215, 227–229, 233, 238, 240, 244, 259, 260, 263

description
, 98

explanatory
, 98

Vocational agencies
, 173

Vocational interventions
, 183, 186. See also Physical disabilities

characteristics
, 187

search terms, overview of
, 186

study characteristics
, 187

vocational programs

common components of
, 192–197

employment achievement
, 197

employment, knowledge/perceptions of
, 198

Vocational programs
, 198

Vocational rehabilitation program
, 189–190

physical disabilities, youth
, 182

Voluntary transition
, 7

Wage gap, gender
, 4

Washington Group Series
, 230, 244

Web of Science
, 184

Welfare, demographic profile
, 51–52

Well-being
, 227

participants who do/do not identify, as disabled
, 236–237

participants with/without functional impairments
, 234

psychological
, 208, 209

analytic strategy
, 214–215

covariates
, 214

depressive symptoms
, 213

disability status
, 213

functional limitation
, 213

gender
, 214

job autonomy
, 214

job creativity
, 214

limitations of
, 220, 221

measures
, 213

study procedures/sample
, 210–212

work characteristics
, 218, 219

subjective
, 230–231, 240, 241, 242, 243, 245

WGS

functional impairments
, 238, 239

functional limitation
, 233

Windows
, 95, 256

Wisconsin Center for Education Research
, 260

Within-group disparities
, 9

Women experience, disadvantages
, 7

Work

characteristics
, 216, 218

supply and demand side
, 6

work-effort
, 6

Workforce access
, 263

Workforce participation
, 231, 233, 250, 252, 260

Workforce risks
, 253

Working conditions
, 209, 210, 212, 219, 220, 221

Working environments
, 85

Working hours, by sex
, 95

Working situations
, 88

Work, in post-industrial society
, 252–254

Work-limiting disabilities
, 12, 14, 19, 20

percentage of persons reporting
, 15

Workplace, disability inclusion complexity

definition
, 132–134

implications for practice
, 149–151

Lewin’s change model
, 132

methodology
, 130–131

Netcare case
, 134–149

contradictions of
, 144

disabilities, types of
, 139–144

education and awareness program
, 148

monitoring/evaluation
, 138–139

persons, challenges limiting employment of
, 135–136

question of intersectionality
, 148–149

refreezing
, 139

transforming
, 137–138

unfreezing
, 135

policy-practice gaps
, 130

postcolonial-post-apartheid South Africa
, 129

social justice issues
, 128

Workplace discrimination
, 244

Work requirements
, 71

Work schedules
, 254

World Health Organization’s (WHO)
, 130, 156

World Health Survey
, 156

Young Millennials
, 70

Youth

with disabilities
, 182

with physical disabilities
, 182, 183

survey participants
, 238

vocational interventions with physical disabilities
, 182