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true "evaluation" can be an expensive and extensive process

it almost always needs to be designed from the get-go, not merely an afterthought

even under the best conditions, results are rarely generalizable beyond the specific circumstances of the population examined

What is realistic

$$$$$$$$$$$$$$$$

scientific research

(peer reviewed)

GRANT SIZE

$$$

outcomes measured and analyzed using the appropriate statistical technique

{

level of data REALLY needed

$$

outputs counted

$

note: there is always a cost!

Anecdotal observations made by grantee or funder

source Ridzi, F. (2012). Managing expectations when measuring impact: A framework based on experience. The Foundation Review, 4(4), 98-109.

funders usually like to work at this level

ask yourself

what is the purpose of this grant?

(to help: individuals, organizations, community)

statistical significance

a statistic is significant if it is unlikely to have occurred by chance alone

statistical significance does not necessarily translate to "big" or "important"

"There is incredible 'silver bulletism' around in the donor (and perhaps foundation) worlds - seeking that "one special number" that will tell us if we are succeeding or failing. This is driven by bureaucratic fantasy, not reality."

more?

first,

a few basics...

@randyKmacon

- don't ask for data that you don't plan to use

randyKmacon.com

.

- set expectations up-front; no one likes last-

minute surprises

- typically the grantee is the subject matter

expert; be willing to listen to their input

about the evaluation process

most importantly

}

demonstrating

impact

Randy K. Macon, PhD

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