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Measuring Employment Outcomes February 5 th , 2015

Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

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Page 1: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Measuring Employment OutcomesFebruary 5th, 2015

Page 2: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Agenda for Today

• Introductions

• Purpose of the event

• An explanation and summary of the work

• Presentations

• Q&A in response to presentations

• Where we go from here, Formation of the working group

• Suggestions

• Thanks and closing

Page 3: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Purpose of the Event

How can the identification and application of

appropriate indicators improve data-based decision

making for workforce development interventions?

• Frame the current issues around measuring

employment/labor market outcomes in the context

of workforce development.

• Create an open, inclusive space for all interested

stakeholders

• Support the Community of Practice to:

– Addressing this question

– Identifying the ‘must haves’ for measurement

– Adopting and harmonizing usage

Page 4: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

A participatory process generates questions

Community of Practice Dynamics

Disseminating what is

learned through the

process

Prioritize issues, highlighting those

where more research is needed

Learning grants

Knowledge

products

Active participation

1.

2.

Talent cloud

activities

Training, capacity

building, internships,

field learning

3.

Page 5: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Frame the current issues

There is no global agreement or widely accepted best

practice governing the use of indicators to measure

outcomes in international workforce development

programming.

Great number of indicators in use, however cross-

comparable standard indicators are limited and there

is a reliance on project-by-project custom indicators.

There are successful measurement practices that have

been implemented from which lessons can be learned.

Page 6: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Literature Review Review of Literature

o Contextual Foundations - Methodologies, Frameworks, and Data Sources

o Field Analysis - Assessments, Evaluations, and Projects

Typologies

o Summary and Annotated Indicator Typologies

o Breakdown of Indicators (by indicator and typology)

o References Organization Source Outcomes Measurement

3 ConsortiumofStatesWashingtonWorkforceTrainingandEducationCoordinatingBoardOnbehalfof

theIntegrated

Performance

Information

ProjectState

Teamsfrom

Florida,

Michigan,

Montana,

Oregon,Texas,

&Washington

IntegratedPerformanceInformationforWorkforceDevelopment(February2005)

AccountabilityMeasures1) Labormarketresultsforprogram

participantsa) Dopeoplegetjobs?b) Whataretheypaid?

2) SkillsGaina) Towhatextentdoeducationlevels

increase?3) Resultsforemployersandtheeconomy

a) Arewemeetingtheneedsofemployers?

PerformanceIndicators4) Resultsforemployersandtheeconomy

a) Arewemeetingtheneedsofemployers?

5) Returnoninvestmenta) Whatisthereturnoninvestment?

AccountabilityMeasures1) Labormarketresultsforprogramparticipants

a) Short-termemprate:%employedafter2ndquarterb) Long-termemprate:%employedafter4thquarterc) Earningslevel:avg.earningsafter2ndquarterforthosewith

earnings2) SkillsGain

a) Credentialcompletionrate:%ofexiterswhocompleteindustry-recognizedcredentialw/in1year

3) ResultsforEmployersandEconomya) RepeatEmployerCustomers:%ofemployerswhoreturntothe

sameprogramforservicew/1year.PerformanceIndicators4) EmployerMarketPenetration

a)%ofallemployersservedin1year5) TaxpayerReturnonInvestment

a) Netimpactontaxrevenueandsocialwelfarepaymentscomparedtothecostoftheservices.

6) ParticipantReturnonInvestmenta) Netimpactonparticipantearningsandemployer-providedbenefits

comparedtocostoftheservices.

3 Additional

Information

ThisresourceisintendedforUSdomesticuse.Integratedperformanceinformation(IPI)reportsperformanceresultsconsistentlyacrossprograms,acrosslevels,orforprogramsasasystem.Itrespondstothelongstandingchallengeandfrustrationcausedbymultiple,inconsistentperformancemeasuresacrossWFDprograms,amultiplicitythatimpedescollaboration—inbothplanningandservicedelivery.Italsorespondstoshortcomingsinprograms'managementinformationsystemsthatcannotfollowparticipantsovertimeorreportperformanceinaconsistentmanner.IPIrequiresinstitutionsandpracticestosupportsharedaccountabilityforresults.

Whatmakesforagoodperformancemeasure(PM)?1) Areoutcomemeasures,notprocessoroutputmeasures2) Promotedesiredresults3) Areeasilyexplainabletoalayaudience(thefewerthemeasuresthebetter)4) Createalevelplayingfieldamongprogramsandservicestrategies(nobias)

Page 7: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Key Questions

• What indicators/frameworks are currently being used?

• What are the most common indicators and

measurement approaches?

• Are there identifiable trends and best practices?

Type of Indicator

Source Input Output Outcome System Level Outcome

Training USG Standard WFD Indicator Standard Foreign Assistance Master Indicator List

1. Number of days of USG funded technical assistance in workforce development provided to counterparts or stakeholders

1. Person hours of training completed in workforce development supported by USG assistance

Page 8: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Trends in measuring employment outcomes

o Need for improved M&E practices (using comparable

outcome indicators)

o Two main types of employment outcome indicators

o High degree of variability

o Employment status & wages are the most common WFD

outcome indicators

o High degree of divergence data gathering methodologies

o Building upon static indicators to form a more systems

approach

Page 9: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Randomized Control Trials, a

place in employment projects?

Page 10: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

How can funders align?

Page 11: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Integrated Performance Indicators. Or, a Tale of Six States…

Page 12: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

IPI Performance Measures

Accountability Measures Measures

Labor Market Results for Program Participants

Do people get jobs?

What are they paid?

Short-term Employment Rate:

The percentage of participants who are employed during the

second quarter after exit. (For youth, enrollment in education

counts as well as employment.)

Long-term Employment Rate:

The percentage of participants who are employed during the

fourth quarter after exit. (For youth, enrollment in education

counts as well as employment.)

Earnings Level:

Median earnings during the second quarter after exit among all

exiters with earnings

Skill Gains

To what extent do education levels increase?

Credential Completion Rate:

The percentage of exiters who have completed a certificate,

degree, diploma, licensure, or industry-recognized credential

during participation or within one year of exit

Results for Employers and the Economy

Are we meeting the needs of employers?

Repeat Employer Customers:

The percentage of employers who are served who return to the

same program of service within one year.

Page 13: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Performance Indicators

Accountability Measures Measures

Results for Employers and the Economy

Are we meeting the needs of employers?

Employers Market Penetration:

The percentage of all employers who are served during one

year.

Return on Investment

What is the return on the investment?

Taxpayer Return on Investment

The net impact on tax revenue and social welfare payments

compared to the cost of the services.

Participant Return on Investment:

The net impact on participant earnings and employer-provided

benefits compared to the cost of the services.

Source: Washington State Workforce Training and Education Coordinating Board. On behalf of the

Integrated Performance Information Project State Teams from Florida, Michigan, Montana, Oregon, Texas,

and Washington

Principal author: Bryan Wilson, Ph.D.

http://www.wtb.wa.gov/Activities_IPI.asp

Page 14: Measuring Employment Outcomes · Active participation 1. 2. Talent cloud activities Training, capacity building, internships, field learning 3. Frame the current issues There is no

Lara Goldmark | Project Director | FHI 360

[email protected] | +1.202.884.8392

Obed Diener | Technical Specialist | FHI 360

[email protected] | +1.202.464.3913

John Lindsay | Technical Specialist | FHI 360

[email protected] | +1.202.464. 3960

Eleanor Sohnen | Technical Advisor | FHI 360

[email protected] | +1.202.884. 8521

www.wfconnections.org

The project is funded by the USAID Office of

Education and managed by FHI 360, in partnership

with Child Trends, Making Cents International, and RTI International.

Rachel Blum | AOR | USAID

[email protected] | +1.202.712.4663

@wf_connections

Where do we go from here…