Back Again……

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Back Again…… Back Again…… Westdrewten 2013 Westdrewten 2013

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Back Again……. Westdrewten 2013. to…. All of the CWS Staff With special thanks to Carol Peters and Dan Cook-Huffman Wonderful students Nancy Vooys Joel Rhodes And now alumni Nick Talisman Alden Hiller Catie Stroup Rudi Carter Courtney DeGemmis Brooke Luke Paige Stott. - PowerPoint PPT Presentation

Transcript of Back Again……

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Back Again……Back Again……Westdrewten 2013Westdrewten 2013

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to…..to…..All of the CWS Staff With special thanks to

Carol Peters and Dan Cook-HuffmanWonderful students

Nancy VooysJoel Rhodes

And now alumniNick Talisman

Alden Hiller Catie StroupRudi Carter Courtney DeGemmisBrooke Luke Paige Stott

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The questionsThe questionsBroadly ...

•How do institutional policies shape attendance at cultural events?

•How does attendance at cultural events on campus impact students?

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Also have GPA and retention data for each semester

What we have. . .What we have. . .

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Attendance at EventsAttendance at Events

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Currently….Currently….Connecting •Is there a relationship between

• Social Identity (across time)• Openness to Experience

AND• Number of events attended (across

time)

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And….And….

Coding Student Event Critiques•Reviewed 763 reaction papers from 206 students

•Initial Review of essays coded for:1. Expectations about the event2. Prior knowledge, experience or familiarity with

event/type of event3. Specific connection with event itself4. Overall Assessment of the event5. Judgment about how the event reflected on

campus college community6. Judgment about the impact upon the person

who attended themself

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Rates of Reported Rates of Reported ImpactImpact

Inter-Rater Reliability Kappa = 0.768 (Substantial Agreement (Landis & Koch, 1977))

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Frequency of Impact Frequency of Impact CategoriesCategories

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What’s newWhat’s newCoding Impact: Part 2Coding Impact: Part 2

Type of Impact

1) Attitude

2) Knowledge

3) Behavior

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Frequency of Impact Frequency of Impact Categories*Categories*

*Preliminary Data Inter-rater Reliability Kappa= .768

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Next?Next?• Self-selection bias/Communication issues/Timing

issues?• Other measures of impact we have missed? • Anything else we should be worried about?