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USING QUALTRICS FOR STUDENT RESEARCH Lubin School Of Business

USING QUALTRICS FOR STUDENT RESEARCH Lubin School Of Business. Kathy Winsted. Team Projects. Executive MBA teams client project Undergraduate classes Teams design and collaborate Collaborate with me G ive feedback (and can make changes) Teams modify then distribute via email

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USING QUALTRICS FOR STUDENT RESEARCH Lubin School Of Business

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  1. USING QUALTRICS FOR STUDENT RESEARCHLubin School Of Business Kathy Winsted

  2. Team Projects • Executive MBA teams client project • Undergraduate classes • Teams design and collaborate • Collaborate with me • Give feedback (and can make changes) • Teams modify then distribute via email • Can verify data • Professional looking charts/reports • Great data analysis tools • Can easily check all data

  3. Class Projects • Advertising Campaigns class • Assignment – each five questions • Each student collaborates with me • Compile best questions • Collaborate with the whole class • Everyone distributes survey • Can measure responses for each • Client can distribute also • Assignment – each student five conclusions • Teams of students compile findings • Professional presentation to client

  4. Senior thesis projects • One-on-one collaboration with student • Can work together to design • Can include video • Randomization for experiments • Can help in distribution of survey • Extra credit to fill out • Can both manipulate data and analyze • Permanent access to raw data

  5. Other Teaching • Course Analysis • Ratings for elements of the course • Anonymous feedback • Peer evaluations • Voting • Client selection • Team preferences • Themes, slogans, …

  6. Other – Student Advising • Pace Perk Café • Satisfaction surveys • Polls to see what people want • Performance evaluations • Business Honors Program • RSVPs for events • Application to program • Application for mentors

  7. Advantages • See everything students are doing • Collaborative effort between faculty and students • No computational errors • No lost surveys • Harder to fake data • Easier to analyse • Professional looking reports • Professor can help with data manipulations • Students gain valuable tool for future

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