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Chelsea Tooley, Jennifer Whiteside, Heather Wirth.

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Presentation on theme: "Chelsea Tooley, Jennifer Whiteside, Heather Wirth."— Presentation transcript:

1 Chelsea Tooley, Jennifer Whiteside, Heather Wirth

2 » Purpose ˃Lack of Data on Previous Participant Perception ˃Sparked Interest from Group » Goals ˃Establish Past Participant Opinion of Program ˃Investigate the affects of “Neighbor Influence” ˃Chart ways to move forward successfully

3 » Constructed a survey to establish: ˃Where participants heard about the program ˃What participants felt was most beneficial ˃What participants felt was most difficult ˃How likely participants are to recommend the program +If they did, to how many people did they recommend? ˃How likely participants are to maintain practices ˃How likely participants are to participate again

4 » Most structured on a 1-6 scale ˃Why? » Other types include: ˃Yes/No ˃Category ˃Open ended +Tried to avoid because of data compilation

5 » Mailed out surveys to previous participants ˃Chelsea – ICW, CMW - 34 ˃Jennifer – CCW, FR/HCW – 22 ˃Heather – HCW, TCW – 66 » Total of 122 » Participants asked to complete and return by a specific date

6 » Out of 122 we got 43 surveys back ˃35% response rate ˃Chelsea – 7 ˃Jennifer – 9 ˃Heather – 27

7 30.2% 26%

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10 Mainly Positive Most “negative” scores were: Reimbursement = 15% Application Process = 21%

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13 » Things we found noteworthy: ˃Where are people hearing about us? +Where should we focus our efforts ˃Environmental vs. Financial Incentives ˃Previous Participants seems pleased with the cost share program ˃Word of mouth is a clearly a powerful tool +14% of people recommended the program to 6 or more community members

14 » Things we would do differently ˃Rating Benefits vs. Scale answers ˃Add a positive incentive +Interesting follow up study: Are incentives the key to response rates ˃Defining out practices: urban vs. agriculture ˃Adding more demographic information +Age/employment status

15 » It’s important to check back with previous participants ˃Why? » Other watershed projects can use this survey pre or post project (or both!)


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