f2 sat workshop f2s summit jan2015

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Research, Evaluation, & Visioning Claire Berezowitz, University of WisconsinMadison Andrea Bontrager Yoder, University of WisconsinMadison Beth Hanna, Community GroundWorks Wisconsin Farm to School Summit Thursday, January 29, 2015 Wisconsin Rapids, WI

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Page 1: F2 sat workshop f2s summit jan2015

Research,  Evaluation,  &  Visioning  Claire  Berezowitz,  University  of  Wisconsin-­‐Madison  Andrea  Bontrager  Yoder,  University  of  Wisconsin-­‐Madison  Beth  Hanna,  Community  GroundWorks  

Wisconsin  Farm  to  School  Summit  Thursday,  January  29,  2015  Wisconsin  Rapids,  WI  

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Who  is  here  today?  

Page 3: F2 sat workshop f2s summit jan2015

JEOPARDY  GAME!  

jeopardylabs.com/play/wisconsin-­‐farm-­‐to-­‐school  

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FARM  TO  SCHOOL  ACTIVITY  TRACKER  

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Project  History  

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Why  track  program  activity?  •  Common  language  •  Common  quanOficaOon  

•  Compare  between  schools  •  Track  development  within    

       school  across  Ome  

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What  is  “Comprehensive”  F2S?  •  Describe  tool:  •  Four  domains:  

•  Variety  •  Frequency    •  Minutes    

Engagement  acOviOes  

School  gardens  

NutriOon,          agriculture  educaOon  

Local  foods  in    school  meals  

Page 8: F2 sat workshop f2s summit jan2015

FARM  TO  SCHOOL  ACTIVITY  TRACKER  

Audience  parOcipaOon!  

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Does  it  work?  •  Monthly  acOvity  reports,  2010-­‐2011  •  Enter  into  AcOvity  Tracker  •  Program  managers  score  (1-­‐10)  each  site  

•  Correlate  domain  scores  with  expert  scores  

•  Three  months  of  acOvity  data,  Fall  2013  •  5  raters  enter  into  AcOvity  Tracker  –  assess  for  inter-­‐rater  reliability  according  to:  •  Same  entries?    

•  Same  domain-­‐level  scores?  

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Domain  Scores  correlate  with  Expert  Scores    Predictor   Spearman  Rank  

Correla=on  Coefficient  (r)  

Procurement:  Variety                0.63***  

Procurement:  Frequency                0.71***  

Classroom:  Number  of  lessons                0.45**  

Classroom:  Number  of  minutes                0.23  

Engagement:  Number  of  ac=vi=es                0.71***  

Garden:  Number  of  visits                0.42**  

Garden:  Number  of  minutes   data  not  collected  

***  p<.0001        **  p<.001          *  p<.05  

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BeneTits  of  tracking  F2S  activity  •  Common  language  •  Common  quanOficaOon  

•  Compare  between  schools  •  Track  development  within    

       school  across  Ome  

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EVALUATION  FRAMEWORK  ACTIVITY  Let’s  move  around!  

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Wrap  up  •  QuesOons/comments?  •  How  can  we  move  F2S  evaluaOon  prioriOes  forward  in  Wisconsin?  

•  Other  evaluaOon  tools:  •  See  Wisconsin  F2S  Toolkit:  

       hip://www.cias.wisc.edu/toolkits/  

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Contact  information  •  Claire  Berezowitz  •  [email protected]  

•  Andrea  Bontrager  Yoder  •  [email protected],  [email protected]  

•  Beth  Hanna  •  [email protected]  

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Student  Outcomes  

0  

10  

20  

30  

40  

50  

0   1   ≥2  %  of  Trays  

Percent  of  Trays  with    no  FV  disappearance  

0  

10  

20  

30  

40  

50  

0   1   ≥2  

%  of  Trays  

Percent  of  Trays    with  no  FV  items  

Fall  2010  

May  2011  ***  

***  ***  

***   *  

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0.0  

10.0  

20.0  

30.0  

40.0  

1   2   3   4   5   6   7   8   9   10   11   12   13   14  

Percent  of  trays  with  no  FV  items,  2010-­‐2011  

0.0  

10.0  

20.0  

30.0  

40.0  

1   2   3   4   5   6   7   8   9   10   11   12   13   14  

Percent  of  trays  with  no  FV  consumed,  2010-­‐2011  

Fall  2010  Spring  2011  

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Domain  Scores  correlate  with  Student  Outcomes  

***  p<.0001        **  p<.001          *  p<.05  

•  Correlates  with  improvements  in  Knowledge  scores:  •  School  Meals:  Source,  Frequency  

•  Correlates  with  improvements  in  percent  of  students  with  no  FV  consumed:  •  School  Meals:  Source,  Variety  

•  Classroom  Educa<on:  Number  of  lessons  

•  Engagement  Ac<vi<es:    Number  of  ac<vi<es  

•  Garden  Ac<vi<es:  Number  of  ac<vi<es