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Introduction to Data Analysis Handbook - AED Center for Early Care ...

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6<br />

Teacher Credentials (continued)<br />

Process Components Content In<strong>for</strong>mation<br />

Interpretation<br />

continued<br />

in the case of Program B, if 22% of a program’s teaching<br />

staff are credentialed, the interpretation of this result may<br />

vary, depending upon other, relevant in<strong>for</strong>mation. For<br />

example, say the program supported a large number of<br />

teaching staff (n = 20) <strong>to</strong> obtain degrees. However, if 18 out<br />

of 20 teachers who received their degrees left <strong>to</strong> take jobs in<br />

public school programs, this would decrease the percent of<br />

credentialed teachers. other relevant fac<strong>to</strong>rs could include<br />

the presence or absence of higher education partners,<br />

changes in access <strong>to</strong> distance learning, and/or the level of<br />

staff turn-over. Program staff can consider and discuss all<br />

relevant fac<strong>to</strong>rs are part of their interpretation of the data.<br />

Alternatively, an analysis of trends in the data might provide<br />

meaningful interpretation (explanation) of the current level<br />

of teacher credentials.<br />

Program B 2002 2003 2004 2005<br />

% teachers with credentials 5% 11% 15% 22%<br />

in this example, the program is still below the 50% mandate,<br />

but presents evidence of<br />

(substantial) progress between 2002 – 2005.<br />

The teacher credential mandate presents one area in which<br />

programs can use and develop their skills in data analysis<br />

and interpretation. The goal is <strong>to</strong> use these skills <strong>to</strong> obtain<br />

a clear and valid picture of where the program is “at” – and,<br />

possibly, where it has been.<br />

© <strong>AED</strong>/TAC-12 Spring 2006.

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