Variations in social capital among vocational rehabilitation applicants | Knowledge Translation for Employment Research Center

Authors:	da Silva, C. E., Romero, M. G., Chan, F., Dutta, A., & Rahimi, M.
Year Published	2017
Publication	Journal of Vocational Rehabilitation
Volume	46
Number
Pages	187-194
Publisher	IOS Press
Background	The authors examine the intricacies of individual and community level social capital. Specifically, the relationship between social capital and state vocational rehabilitation (VR) agencies interaction with individuals with disabilities. Previous research reveals that people with disabilities will typically have lower levels of social capital than their non-disabled counterparts. However, this relationship has not been shown to be causational.
Purpose	The goal of this work is to examine how social capital varies by employment status for VR applicants. It is also hypothesized that levels of social capital would vary by employment status for VR applicants when controlling for disability and individual characteristics.
Setting	In 2014 and 2015 Mathematica Policy Research collected survey data from applicants to the New Jersey Division of Vocational Rehabilitation Services, the Mississippi Department of Rehabilitation Services, and Opportunities for Ohioans with Disabilities.
Sample	2,804 surveys were completed. After cleaning data with missing social capital information, 2639 cases remained. The sample was relatively split between male (49.9%) and female (50.1%) participants. Half (50.5%) identified as non-Hispanic white, with 37.5% identifying as non-Hispanic black, with age ranging from 25-34 (22.6%) to as high as 55-65 (18.7%) years old. Less than 57% of applicants reported having access to someone who could help with financial concerns.
Data Collection	Data collection was done across three state VR agencies. Social capital was measured by looking at four questions including if applicants had anyone that they could rely on for help: 1. finding a job 2. borrowing money to pay an urgent bill, 3. with transportation to get to work urgently, and 4. help with a serious personal crisis.
Control	There was no control or comparison condition.
Findings	Both hypothesis were confirmed. Additionally, disability type, employment status, and perceived health had an effect on social capital. Overall, younger, healthier, employed, and less severely disabled individuals were shown to have higher rates of social capital than their counterparts. This remained true across all four social capital questions.
Conclusions	This work confirms that there is a strong link between employment status and social capital. As social capital has shown to be lower for individuals with severe disabilities, it would be beneficial for state VR agencies to pay close attention to supporting this community. Similarly, those individuals with a disability onset age of 25 or older could benefit greatly from additional support.
URL	https://content.iospress.com/articles/journal-of-vocational-rehabilitation/jvr854
Disabilities	No specific disability
Populations	Male & Female \| Black / African American \| White / Caucasian
Outcomes	Other
NIDILRR Funded	Yes
Research Design	Observational
Peer Reviewed	Yes

Year Published

2017

Publication

Journal of Vocational Rehabilitation

Volume

46

Number

Pages

187-194

Publisher

IOS Press

Background

The authors examine the intricacies of individual and community level social capital. Specifically, the relationship between social capital and state vocational rehabilitation (VR) agencies interaction with individuals with disabilities. Previous research reveals that people with disabilities will typically have lower levels of social capital than their non-disabled counterparts. However, this relationship has not been shown to be causational.

Purpose

The goal of this work is to examine how social capital varies by employment status for VR applicants. It is also hypothesized that levels of social capital would vary by employment status for VR applicants when controlling for disability and individual characteristics.

Setting

In 2014 and 2015 Mathematica Policy Research collected survey data from applicants to the New Jersey Division of Vocational Rehabilitation Services, the Mississippi Department of Rehabilitation Services, and Opportunities for Ohioans with Disabilities.

Sample

2,804 surveys were completed. After cleaning data with missing social capital information, 2639 cases remained. The sample was relatively split between male (49.9%) and female (50.1%) participants. Half (50.5%) identified as non-Hispanic white, with 37.5% identifying as non-Hispanic black, with age ranging from 25-34 (22.6%) to as high as 55-65 (18.7%) years old. Less than 57% of applicants reported having access to someone who could help with financial concerns.

Data Collection

Data collection was done across three state VR agencies. Social capital was measured by looking at four questions including if applicants had anyone that they could rely on for help: 1. finding a job 2. borrowing money to pay an urgent bill, 3. with transportation to get to work urgently, and 4. help with a serious personal crisis.

Control

There was no control or comparison condition.

Findings

Both hypothesis were confirmed. Additionally, disability type, employment status, and perceived health had an effect on social capital. Overall, younger, healthier, employed, and less severely disabled individuals were shown to have higher rates of social capital than their counterparts. This remained true across all four social capital questions.

Conclusions

This work confirms that there is a strong link between employment status and social capital. As social capital has shown to be lower for individuals with severe disabilities, it would be beneficial for state VR agencies to pay close attention to supporting this community. Similarly, those individuals with a disability onset age of 25 or older could benefit greatly from additional support.

URL

https://content.iospress.com/articles/journal-of-vocational-rehabilitation/jvr854

Disabilities

No specific disability

Populations

Male & Female | Black / African American | White / Caucasian

Outcomes

Other

NIDILRR Funded

Yes

Research Design

Observational

Peer Reviewed

Yes