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From Frenemy to BFF, Making Data Work for You!
PART 1: EXAMPLES OF DATA OUT OF CONTEXT
From Frenemy to BFF, Making Data Work for You!
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Example 1:Data Anomalies Taken Out of Context
2004-05 2005-0630%
35%
40%
45%
50%
55%
60%
CTE Completion
The data indicate a decline in CTE Completion!
Example 1:The Complete Data Set
2002-03 2003-04 2004-05 2005-06 2006-0730%
35%
40%
45%
50%
55%
60%
CTE Completion
Example 2: Data Without Social Context
• The 2013 Student Success Scorecard reveals that only 49.2% of students in the California Community Colleges achieved “completion”
Example 2: A More Complete Picture…
The 2013 Student Success Scorecard reveals that: only 49.2% of students in the CCCs achieved “completion”
Example 3:Raw Numbers vs. Rates
Latino Asian African Amer
0
2
4
6
8
10
12
14
Persisters – Which Group Did the Best?
Latino Asian African Amer
0%
20%
40%
60%
80%
100%
120%
Persisters – Which Group Did the Best?
Beware small N’s!
Example 4:Change occurs slowly… and in small ways
Before intervention After intervention
Success rate 0.68 0.67
5%15%25%35%45%55%65%75%85%95%
Success Course Completion Rates
PART 2: WHY WE’RE DOING THIS NOW
From Frenemy to BFF, Making Data Work for You!
A Shift in Thinking
FROM:• Data are complicated
spreadsheets• Data are cold, hard numbers
• Data are scary
TO:
• Data are just information (quantitative OR qualitative)
• Wait! Data are just information; I gather and use data all the time!
A Shift in Thinking
FROM:• Data can be used to point
out our deficiencies and/or what we’re not doing well
• Data are the ‘stick’ that policymakers will use to punish us
TO:• Data can be used to
*confirm* and *convey* what we already know (or suspect) about how well all our students are learning
• Data are the ‘carrot’ that we can use to express what we are doing
A Shift in Thinking
FROM:• Data don’t capture the
subtleties or nuances in teaching and learning
TO:• Data (information) is the
*only* way to concisely convey the “story of the whole”; however, quantitative data are best paired with qualitative information for context, to convey the most complete story including subtlety and nuance.
Part 3: Instructor Reflections Examples
The value of using both Qualitative and Quantitative descriptions of student learning
Quantitative: The story of the whole; How did the whole class do?
Qualitative: Provides context for the quantitative data.
Instructor Reflections Examples
Qualitative Only
How could these qualitative and quantitative efforts be
improved?
Qualitative and Quantitative
Part 4: Examples from MPC
(2) Examples of MPC’s Program Reflections w/ both quantitative & qualitative data…telling the story of the whole Instructor Reflection: English (Laura Headley, Adjunct Instructor) Program Reflection: Student Services (Student Financial Services Department)