Presentation is loading. Please wait.

Presentation is loading. Please wait.

Data Workshop: Analyzing and Interpreting Data Kathy Hebbeler, ECO at SRI Lynne Kahn, NECTAC/ECO at FPG Cornelia Taylor, ECO at SRI Ann Bailey, NCRRC Presented.

Similar presentations


Presentation on theme: "Data Workshop: Analyzing and Interpreting Data Kathy Hebbeler, ECO at SRI Lynne Kahn, NECTAC/ECO at FPG Cornelia Taylor, ECO at SRI Ann Bailey, NCRRC Presented."— Presentation transcript:

1 Data Workshop: Analyzing and Interpreting Data Kathy Hebbeler, ECO at SRI Lynne Kahn, NECTAC/ECO at FPG Cornelia Taylor, ECO at SRI Ann Bailey, NCRRC Presented at the Measuring and Improving Child and Family Outcomes Conference New Orleans, LA September 2011

2 1. Using Data 2 Early Childhood Outcomes Center

3 Using data for program improvement = EIA E vidence I nference A ction 3

4 Evidence Evidence refers to the numbers, such as “45% of children in category b” The numbers are not debatable 4

5 Inference How do you interpret the #s? What can you conclude from the #s? Does evidence mean good news? Bad news? News we can’t interpret? To reach an inference, sometimes we analyze data in other ways (ask for more evidence) 5

6 Inference is debatable -- even reasonable people can reach different conclusions Stakeholders can help with putting meaning on the numbers Early on, the inference may be more a question of the quality of the data 6 Inference

7 Action Given the inference from the numbers, what should be done? Recommendations or action steps Action can be debatable – and often is Another role for stakeholders Again, early on the action might have to do with improving the quality of the data 7

8 Good Data?? Programs Bad/WeakGood/Strong Data Bad/Weak ?? Good/Strong Program Improvement Questionable  Good Program Improvement Good  Better 8Early Childhood Outcomes Center

9 Good Data?? Programs Bad/WeakGood/Strong Data Bad/Weak ?? Good/Strong Program Improvement Questionable  Good Program Improvement Good  Better 9Early Childhood Outcomes Center

10 Good Data?? Programs Bad/WeakGood/Strong Data Bad/Weak ?? Good/Strong Program Improvement Questionable  Good Program Improvement Good  Better 10Early Childhood Outcomes Center

11 2. Primer on how to present data 11Early Childhood Outcomes Center

12 What do you want your audience to notice? Where do you want their eyes to go? Alternate presentation of the same data. What works? Chartjunk and minimal ink When pies don’t work? 12Early Childhood Outcomes Center

13 13

14 Early Childhood Outcomes Center14

15 Early Childhood Outcomes Center15

16 Early Childhood Outcomes Center16 Wasted ink

17 Early Childhood Outcomes Center17 No 3-D

18 Early Childhood Outcomes Center18

19 3. Making Comparisons 19Early Childhood Outcomes Center

20 What constitutes a meaningful difference? –Statistical significance refers to sampling from a population –Your child outcomes data is the population. What constitutes stability in your data? 20Early Childhood Outcomes Center

21 Comparing to state numbers Influence of big entities on totals Demonstration with an example of how a huge change in a small entity makes almost no difference on a – e, but how that same proportionate change in a big entity makes a big difference (i.e., why state numbers will often look a lot like the biggest subunit. 21Early Childhood Outcomes Center

22 22 abcdeTotal N 2280.071120.0410030.3213610.444100.133114 270.022900.242490.213290.273170.261212 810.0114700.2011100.1518420.2527510.387254 120.014200.27920.062000.138330.541557 110.006880.283790.155640.238210.332463 350.014080.14840.035830.2117060.612816 120.005430.166740.2011210.3310060.303356 370.027010.286870.286140.254290.172468 360.032710.213840.293040.233190.241314 10.001000.30510.15960.29880.26336 150.03650.13480.101420.292150.44485 60.012980.293200.313360.32840.081044 80.011120.111480.143300.324470.431045 610.033820.183780.187140.336190.292154 520.0111610.1911790.1919940.3316770.286063 1.7%19.1%18.5%28.7%32.0%

23 Early Childhood Outcomes Center23 abcde 2280.071120.0410030.3213610.444100.13Total N 270.022900.242490.213290.273170.263114 810.017350.2018450.1518420.2527510.381212 120.014200.27920.062000.138330.547254 110.006880.283790.155640.238210.331557 350.014080.14840.035830.2117060.612463 120.005430.166740.2011210.3310060.302816 370.027010.286870.286140.254290.173356 360.032710.213840.293040.233190.242468 10.001000.30510.15960.29880.261314 150.03650.13480.101420.292150.44336 60.012980.293200.313360.32840.08485 80.011120.111480.143300.324470.431044 610.033820.183780.187140.336190.291045 520.0111610.1911790.1919940.3316770.282154 1.7%17.1%20.5%28.7%32.0%6063 1.7%19.1%18.5%28.7%32.0%

24 Early Childhood Outcomes Center24 abcde Total N 2280.071120.0410030.3213610.444100.133114 270.022900.242490.213290.273170.261212 810.0114700.2011100.1518420.2527510.387254 120.014200.27920.062000.138330.541557 110.006880.283790.155640.238210.332463 350.014080.14840.035830.2117060.612816 120.005430.166740.2011210.3310060.303356 370.027010.286870.286140.254290.172468 360.032710.213840.293040.233190.241314 10.001000.30510.15960.29880.26336 150.03330.13800.101420.292150.44485 60.012980.293200.313360.32840.081044 80.011120.111480.143300.324470.431045 610.033820.183780.187140.336190.292154 520.0111610.1911790.1919940.3316770.286063 1.7%19.1%18.6%28.7%32.0% 1.7%19.1%18.5%28.7%32.0%

25 25 Find more resources at: www. the-eco-center-org Thank you!!


Download ppt "Data Workshop: Analyzing and Interpreting Data Kathy Hebbeler, ECO at SRI Lynne Kahn, NECTAC/ECO at FPG Cornelia Taylor, ECO at SRI Ann Bailey, NCRRC Presented."

Similar presentations


Ads by Google