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MassCUE Evaluators. Day 2 – January 12, 2012. Welcome to Day 2. Overnight thoughts… What ’ s confusing? What would you like more information on? Questions for today? Review today ’ s agenda. Team Time. Sharing and Reflecting. Partners Present your indicators thus far (15 min)
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MassCUE Evaluators Day 2 – January 12, 2012
Welcome to Day 2 • Overnight thoughts… • What’s confusing? • What would you like more information on? • Questions for today? • Review today’s agenda
Sharing and Reflecting • Partners • Present your indicators thus far (15 min) • Respond to reflection questions asked by your partner (15 min) • Switch
Evidence/Data Collection • Quantitative and qualitative data • Classroom observation, interviews, and work-product review • Focus groups and surveys • Student assessment data • Data sources for secondary analysis • Triangulation among data sources
Identifying your sample • Which students provide your sources of data? • Who do you need to study to respond to your indicators • Who would you like to generalize your findings to? • Is there a difference between your sample and the population you want to generalize to?
Surveys • Creating good surveys • Length • Differentiation (teachers, staff, parents, community, etc..) • Quantitative data • Attitudinal data • Timing/response rates (getting returns!) • www.sun-associates.com/eval/samples/samplesurv.html
Survey Issues • Online surveys produce high response rates • Easy to report and analyze data • Depends on access to connectivity
Focus Groups/Interviews • Focus Groups/Interviews • Teachers • Parents • Students • Administrators • Other stakeholders
Classroom Observations • Using an observation template • Using outside observers
Secondary Analysis • Utilizing existing assessments • MCAS • Other assessments • Thinking about how this analysis fits your indicators • Remember, all data needs to be related to your indicators!
Examples of MCAS Analyses Median student growth percentiles for pilot and comparison student performance 2010 ELA MCAS
Examples of MCAS Analyses (2) The analyses found that the coefficients for both prior achievement (i.e. 2006 ELA score) and participation in the BWLI program were statistically significant (p < .0005 for the ELA 2006 and p = .006 for BWLI). The increase in ELA scores for BWLI students was statistically significant compared to the increase in scores observed for comparison students.
Other Data? • Artifact analysis • A rubric for analyzing teacher and student work? • Student Drawings • Solicitation of teacher/parent/student stories • This is a way to gather truly qualitative data • What does the community say about the use and impact of technology?
Your Evaluation Plan • Complete the Indicator Matrix and send it to us by 2/1/12 • Data sources? • Initial ideas for questions? • Thoughts about responsibilities and timeframe?
Day 2 Wrap-Up • Questions? • Daily Evaluation • Indicator Matrices due on 2/1/12 to Sun Associates • See you in February!