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<title>Precision Teaching Blog</title>
<link>http://homepage.mac.com/precisionteaching/blog/readme.html</link>
<description>Please feel free to ask me questions, comment on my web content, or start a dialogue on something important to you (relevant to PT, SC charting, or science in general). You may have some specific questions about learning - Precision Teaching can help guide you to those answers. I have great enthusiasm for PT and feel a comittment to sharing this method with others.  I hope you find this site useful and your feedback/comments will help shape this webpage. BTW, I will try to blog more regularly (at least once a week).</description>
<pubDate>Thu, 09 Aug 2007 12:19:46 -0400</pubDate>
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<title>Update from July Precision Teaching blogs</title>
<link>http://homepage.mac.com/precisionteaching/blog/readme.html#jpi208367116</link>
<description><![CDATA[Hello Bloggerites,<br />
<br />
Well tragedy stuck my computer and my most recent file became corrupted for this blog. That means I lost the files for July but did archive some of the talk back comments. I will more diligently back up my files (but I have a mac and bad things rarely happen to my computer or files :)<br />
<br />
Well let’s get to task this month!<br />
<br />
I hope to explain the following in my next series of entries. How to analyze graphic data on an SCC ala Parsonson and Baer (1978). Parsonson and Baer cover the following characteristics of visual analysis:<br />
<br />
Stability of baseline<br />

Variability within phases<br />

Variability between phases<br />

Overlap between data of adjacent phases<br />

Number of data points in each phase<br />

Changes in trend within phases<br />

Changes in trend between adjacent phases<br />

Changes in level between phases<br />

Analysis of data across similar phases<br />

Evaluation of the overall pattern of the data<br />
<br />
Let’s start with Stability of baseline. Three main points to consider.<br />
<br />
1. When baseline data drift in the direction of the intervention it is difficult to analyze claims of the intervention. Though with SCC you could make better judgments as when this occurs - by comparing celerations. But this logic varies from the steady state logic advocated by some.<br />
<br />
2 and 3. Stable baselines or baselines in the opposite direction of the intervention help determine change is attributed to the intervention.<br />
<br />
Each one of these situations appears in the chart below.<br />
<br />
<a href="http://homepage.mac.com/precisionteaching/blog/images/baselineslide1.jpg"><img src="http://homepage.mac.com/precisionteaching/blog/images/baselineslide1_thumb.jpg" width="300" alt="baseline slide 1.jpg" title="baseline slide 1.jpg" /></a>
<br />
As you can see, analyzing baselines on the SCC offers the advantage of calculating a celeration as well as fairly portraying the trend.
]]></description>
<pubDate>Thu, 09 Aug 2007 11:45:16 -0400</pubDate>
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