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Messing with Data March 3rd, 2009. My Expectations. “I think you should be more explicit here in step 2.”. The Take-Aways. ?. The Take-Aways. Aggregation - making it meaningful. Dis-Aggregation - making it useful. Triangulation - making it defensible. Let’s start with a simple example.

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Messing with data march 3rd 2009
Messing with DataMarch 3rd, 2009


My expectations
MyExpectations

“I think you should be more explicit here in step 2.”


The take aways
The Take-Aways

?


The take aways1
The Take-Aways

Aggregation - making it meaningful

Dis-Aggregation - making it useful

Triangulation - making it defensible


Let s start with a simple example
Let’s start with a simple example

First, I start with my question:



Follow-on Questions:

* What about NC breweries?

* What about ENC breweries?


A little closer to home…

What’s up with retention at CCC?

Females?

Took ACA?

Males?

Minorities?

Non-Traditional?

Fall-to-Fall?

Nursing?

Cosmetology?

Fall-to-Spring?

Used AS?

DL?

Applied?

Transfer?

GOT?


A little closer to home…

What’s up with DL at CCC?

Do DL students drop as much as traditional/seated students?

Related but separate question: Do DL students succeed as much as traditional/seated students?

If NO, then what’s going on?


Dl @ ccc fa 08
DL @ CCCFA’08

  • 270 seated sections

    • 73% success / 22% failed or withdrew (15% W)

  • 61 internet sections

    • 65% success / 33% D, F, WD (16% W)

  • 15 hybrid sections

    • 81% success / 18% D, F, WD (9% W)


Grade Distributions

(Fall 2008)

Aggregation


Dis-Aggregation

Computer Literacy - FA ‘08

5 Sections: CIS 110 3-WB; 2-IN

  • Attrition

    • IN01: 35%

    • IN02: 26%

    • WB03: 17%

    • WB04: 28%

    • WB05N: 18%


Dis-Aggregation

Computer Literacy - FA ‘08

5 Sections: CIS 110 3-WB; 2-IN



Dis -Aggregation

Students in CIS110 - IN02 taking multiple courses


Dis -Aggregation

Students in CIS110 - IN02 taking multiple courses


Now what about triangulation
Now, what about Triangulation?

Historical Data

  • FA 08 internet: 61 sections

    • 33% D, F, WD (16% W)

  • FA 07 internet: 59 sections; 34% D, F, W

  • FA 06 internet: 48 sections; 34% D, F, W


Now what about triangulation1
Now, what about Triangulation?

Historical Data

  • FA 08 internet: 61 sections; 33% D, F, WD (16% W)

  • FA 07 internet: 59 sections; 34% D, F, W

  • FA 06 internet: 48 sections; 34% D, F, W

  • FA 08 hybrid: 15 sections; 18 % D, F, W

  • FA 07 hybrid: 22 sections; 16% D, F, W

  • FA 06 hybrid: 20 sections: 27% D, F, W


Now what about triangulation2
Now, what about Triangulation?

Nothing wrong with Qualitative Data-

Surveys, Evaluations, Focus Groups

What do you think about online courses?

Where have you succeeded with online?

Where have you struggled online courses?

Where have you succeeded with this course?

Do you prefer Hybrid or Full Internet?



In Sum… (5).

  • Think about your question(s)…Outcomes?

  • Where’s the data?

  • How can you aggregate it for meaning?

  • How can you dis-aggregate it for usefulness?

  • How can you triangulate it for validity?


The Important Stuff (5).

Was this what you expected?

Suggestions for improvement?

Would you attend follow-up sessions (on drilling deeper)…(or something else)?


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