The Disability Employment Initiative (DEI): Impact Evaluation Design October 21, 2015 Sung-Woo Cho,...
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Transcript of The Disability Employment Initiative (DEI): Impact Evaluation Design October 21, 2015 Sung-Woo Cho,...
![Page 1: The Disability Employment Initiative (DEI): Impact Evaluation Design October 21, 2015 Sung-Woo Cho, Ph.D.](https://reader036.fdocuments.net/reader036/viewer/2022083009/5697bfa71a28abf838c98b36/html5/thumbnails/1.jpg)
The Disability Employment Initiative (DEI): Impact Evaluation Design
October 21, 2015
Sung-Woo Cho, Ph.D.
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Abt Associates | pg 2
Introducing Myself
Associate at Abt Associates
Project Director of the DEI impact evaluation
Most of my work is in impact evaluation of programs in community colleges and K-12
Past work has been in community college students and their outcomes
Teach applied statistics at The George Washington University
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Abt Associates | pg 3
DEI Round 5 Overview
Six grantees in six different states
Intervention consists of services that are designed to assist people with disabilities who are seeking employment
Flagged DEI Round 5 participants: TREATMENT group
Using a rigorous evaluation design, we would want to compare these people with a comparison group, tracking their outcomes along the same points in time
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Abt Associates | pg 4
Design Phase
Not randomized – we are using two quasi-experimental designs (QEDs) to determine impact of DEI interventions as a whole, and impact of a career pathways component (part of the intervention)
Outcomes include postsecondary credentials, employment, wages
Will incorporate a survey (Abt SRBI) to determine disability type and ADL (adult daily living) information
Treatment and comparison – at the LWIA level. Services provided at AJCs (One-Stops)
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Abt Associates | pg 5
DEI Round 5 Interventions
The actual interventions across the six grantees vary
However, career pathways component is consistent throughout the grantees
Some of the interventions are based on previous rounds’ interventions
Examples of interventions for DEI Round 5:
– Wrap-around services (South Dakota)
– Remedial skill development (California)
– Disabilities resource coordinator (Minnesota)
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Abt Associates | pg 6
Quasi-Experimental Design (QED)
The basic idea is to match a treatment group of customers to a comparison group of similar customers– Match by using their characteristics: gender, age,
ethnicity, other demographic and wage information, and disability type
– Pre-enrollment wage information would be very good to have, since there’s a good amount of variation here
• Wages are also an outcome of interest
In the end, you have a treatment group and comparison group of customers that look similar to one another on key characteristics – except only the treatment group received the DEI Round 5 services
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Abt Associates | pg 7
Comparison Groups
Our calls with the grantees indicated that the participants in other local LWIAs could serve as our comparison group
All else equal, similar participants in the comparison LWIAs received a different set of services compared to participants in treatment LWIAs
We ruled out trying to create a comparison group directly from community and technical colleges
– The data are difficult to collect directly from these institutions, and general population may be hard to match
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Abt Associates | pg 8
Disability Type and Matching
Comparison group – would need to match on people with self-reported disabilities
The treatment LWIAs will have a participant tracking system (PTS) that will collect information on disability type
However, the comparison LWIAs will not have a PTS– Solution: A survey that will collect information on
disability type among comparison LWIA participants who disclose a disability
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Abt Associates | pg 9
QED and Baseline Equivalence
Once you have a treatment group and comparison group that look similar to one another, we want to measure their baseline (that is, pre-intervention) characteristics
– Ex: using wage information prior to start of the intervention to measure baseline equivalence
If you can show that the treatment and comparison groups are very similar at baseline, you can look at the difference in the two groups’ outcomes to measure the impact of the intervention
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Abt Associates | pg 10
QED VisualO
utco
me
TimeStart of services
Treatment
ComparisonBaseline equivalence established
Impactestimate
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Abt Associates | pg 11
QED Matching Strategy
10 Treatment Customers
30 Comparison Customers
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Abt Associates | pg 12
Match Based on Characteristics
10 Treatment Customers
30 Comparison Customers
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Abt Associates | pg 13
20 Comparison Customers are Not Matched (in red)
10 Treatment Customers
20 Comparison Customers
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Abt Associates | pg 14
And They are Left Out of the Sample in a 1:1 Matching Strategy
10 Treatment Customers
10 Comparison Customers
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Abt Associates | pg 15
Important Notes on Matching
The matching is done at the person (participant) level
– We should use information about the LWIAs when we do the matching – but keep in mind that we are not matching LWIAs themselves
– However, we keep in mind geography of the LWIAs
Each analysis would first be run within each state
– We will eventually group the six states together, to determine the overall impact of the Round 5 interventions
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Abt Associates | pg 16
Measuring Outcomes
Outcomes will be measured by WIASRD and Wagner-Peyser reported outcomes
These can include, but are not limited to, the following:
– Employment
– Wages
– Credential completion (self-reported)
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Abt Associates | pg 17
Potential Limitations
Interventions vary in strength and have different approaches to operationalizing career pathways programs. Grantees typically focus on adding services/components to existing services.
May be difficult to detect impacts on outcomes given nature of the interventions
Small sample sizes could contribute to issues in power
– Makes it harder to determine if impacts are actually present
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Abt Associates | pg 18
Why is this Important?
People with disabilities who are seeking employment – an important group to help
DOL has demonstrated this with large financial support Want to figure out if the initiatives are making an impact on education and employment outcomes
Survey information will give us more info on disability type, which is not collected in enough detail at AJCs
Through the evaluation, we are setting up data collection systems that will allow for easier information retrieval on this population and the types of services they receive
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Abt Associates | pg 19
Concluding Remarks
A rigorous QED is possible, assuming that we will have information on an appropriate comparison group of non-Round 5 customers in other local WIAs
We will use data from WIASRD and Wagner-Peyser, with information on demographic characteristics and outcomes
We would use a matching strategy to create a comparison group for each treatment group
– A survey will help collect information on comparison group disability type
Implementation study will be important for understanding how to provide career pathways programs to this population