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Common Impact Indicators in Extension Community Development Programming Tim Borich, Iowa State University Scott Chazdon, University of Minnesota Mary Simon Leuci, University of Missouri Scott Loveridge, North Central Regional Center for Rural Development

Common Impact Indicators in Extension Community Development Programming

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Common Impact Indicators in Extension Community Development Programming. Tim Borich, Iowa State University Scott Chazdon, University of Minnesota Mary Simon Leuci, University of Missouri Scott Loveridge, North Central Regional Center for Rural Development. Outline of Presentation. - PowerPoint PPT Presentation

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Page 1: Common Impact Indicators in Extension Community Development Programming

Common Impact Indicators in Extension Community Development Programming

Tim Borich, Iowa State UniversityScott Chazdon, University of Minnesota

Mary Simon Leuci, University of MissouriScott Loveridge, North Central Regional Center for

Rural Development

Page 2: Common Impact Indicators in Extension Community Development Programming

Outline of Presentation

Origins, purpose and goals of the common metrics

Outcomes to dateHow do we collect the information?

What goes in and what does not?DefinitionsCase studies

North Dakota Iowa Missouri Minnesota

Page 3: Common Impact Indicators in Extension Community Development Programming

How Did We Get Here?

Federal Extension funding flat or decliningRequirement for 25% Federal funds in multi-

state effortsNC Extension Directors asked each program

area to develop common indicators for multi-state programming: Help document 25% effort. Communicate better with policy makers: “Don’t tell

me stories.”

Page 4: Common Impact Indicators in Extension Community Development Programming

Now in Year Four of Effort

Initial set of indicators has been tweaked to deal with: Lack of clarity about measure Difficulty of obtaining measure

Current set of measures is now “field tested” and found to be feasible, with most states able to report on most metrics.

Page 5: Common Impact Indicators in Extension Community Development Programming

20-year Trend in Smith-Lever Funding

Source: Association of Public and Land-Grant Universities, 2012. http://www.land-grant.org/docs/FY2013/SL.pdf

Page 6: Common Impact Indicators in Extension Community Development Programming

Background Justification-Budget

APLU graph understates the problem Skilled labor costs vs. general inflatioin

Impacts of Federal budgets… No replacement when colleagues resign/retire Need to cover more territory No raises, or below-inflation raises Furloughs Layoffs Reduced operating Ability-to-pay vs. needs-based programming

Ultimate results? What if we continue to lose ground to inflation?

Page 7: Common Impact Indicators in Extension Community Development Programming

Background Justification – Best Practices

Understanding your program Experiment and find what works

Marketing your program“Final Exam”

Community Design Team experience

Page 8: Common Impact Indicators in Extension Community Development Programming

How are Indicators Used?

Within your state or service area Telling the story of extension for state and local officials Helping Extension professionals refine their program

efforts. Which programs generate the most impact for my time?

Across states Helping program leaders refine their program mix. Which

programs generate the most impact at the state level? Which programs from other states should we try to pick up?

Nationally Communicating with NIFA Communicating with Congress

Page 9: Common Impact Indicators in Extension Community Development Programming

Annual Impacts Report

Page 10: Common Impact Indicators in Extension Community Development Programming

Attribution Principle

Don’t need press clippings or sworn statements

Need knowledgeable individual from the target community (not employed by Extension) who can vouch for the impact.

“But for” concept. Would the impact have occurred without Extension?

Page 11: Common Impact Indicators in Extension Community Development Programming

North Central States Impact Indicators 2012

Educational Contacts Persons who received educational services via face-to-face or live

distance enabled sessions. Persons participating more than once should be counted more

than once. Number of racial minority contacts

Contacts (as above) who self-report as non-white racial status Number of Hispanic contacts

Contacts (as above) who self-report as Hispanic or Latino

Page 12: Common Impact Indicators in Extension Community Development Programming

North Central States Impact Indicators 2012

Number of participants reporting new leadership roles and opportunities undertaken New leadership roles may include formal (e.g. board member) or

informal (e.g. advocate, group leader). Use attribution principle. Number of business plans developed

Includes formal business plans and informal strategic changes. Use attribution principle.

Number of community or organizational plans developed Includes formally adopted plans by official agencies as well as

strategies. Use attribution principle.

Page 13: Common Impact Indicators in Extension Community Development Programming

North Central States Impact Indicators 2012

Number of community and organizational, policies, plans adopted or implemented Includes plans (as above) wholly or partially adopted or

implemented. Use attribution principle.Number of businesses created

New business start ups or firms that moved into the area. Use attribution principle.

Page 14: Common Impact Indicators in Extension Community Development Programming

North Central States Impact Indicators 2012

Number of jobs created New jobs in the area as a result of programs. Use

attribution principle. Number of jobs retained

Existing jobs that were at risk, protected by programs. Use attribution principle.

Dollar value of volunteer hours leveraged to deliver programs Based on Independent Sector value for your state

(http://www.independentsector.org/volunteer_time) Count hours provided by individuals in executing the

program (include volunteer hours required for certification).

Page 15: Common Impact Indicators in Extension Community Development Programming

North Central States Impact Indicators 2012

Number of volunteer hours for community generated work Count hours indirectly generated by programs. Example: person receiving training recruits additional

volunteers. Use attribution principle. Dollar value of volunteer hours generated by

organization and/or community as result of program Based on Independent Sector value for your state

(http://www.independentsector.org/volunteer_time)

Page 16: Common Impact Indicators in Extension Community Development Programming

North Central States Impact Indicators 2012

Dollar value of efficiencies and savings Count savings through improved processes and approaches

due to programs. Dollar value of grants and resources

leveraged/generated by communities Dollar value of resources leveraged by

businesses Includes loans and investments. Use attribution principle.

Page 17: Common Impact Indicators in Extension Community Development Programming

NDSU – Measuring Impact

Keep it simpleDon’t try to measure everythingMeasure what you can Be able to defend what you measureBegin with the end in mind!Ask yourself – why and who

Page 18: Common Impact Indicators in Extension Community Development Programming

NDSU – Cultural Change

Make it easy Provide evaluation tools and training Send out the indicators matrix 4 x per year

Make it valuable Encourage use with required annual impact report Encourage conversation on impacts with supervisor

during annual review

Page 19: Common Impact Indicators in Extension Community Development Programming

Iowa State University CED Evaluation and Reporting

Reporting: Impact system is web basedAttribution, News Media, Evaluation Data,

Secondary Data.Regional Indicators PlusData recorded by case and communityCommunity Cases can be updatedPRI (It’s not Public Radio International)Omission/Under Reporting is still our biggest

problem

Page 20: Common Impact Indicators in Extension Community Development Programming

Univ. of MO – Measuring Impact Focus on the in-depth programs and multi-year Build in follow-up as part of the program

Appropriate, not often a survey, use of ripple effect mapping Be able to defend what you report: attribution Basic criteria: “If but for”

If Extension had not done this work with us, we would not have started x and therefore been on this path that helped us ……

Jobs: Don’t count temp jobs National data sources don’t distinguish between fulltime and part time so both

ok to count For single proprietor new business, count as one job Recognize nonprofits and governments create or retain jobs Be sure to question if someone gives you big number or a number that doesn’t

ring true—seek to understand Ask key contacts in community/organization to copy you on key

email follow up and links to news articles.

Page 21: Common Impact Indicators in Extension Community Development Programming

Minnesota – Link to Ongoing Evaluation When Possible

Page 22: Common Impact Indicators in Extension Community Development Programming

Summary

Implementing indicators takes patience – probably a several year effort to fully implement in a state

Payoffs for system can be great in terms of Communicating our relevance to the public and to key

policy makers Helping us assess how we can improve our work