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	<title>Comments on: ReCal: reliability calculation for the masses</title>
	<atom:link href="http://dfreelon.org/utils/recalfront/feed/" rel="self" type="application/rss+xml" />
	<link>http://dfreelon.org</link>
	<description></description>
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	<item>
		<title>By: Ostkirchen Gabriele; Lüdecke Hildegard</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-727</link>
		<dc:creator>Ostkirchen Gabriele; Lüdecke Hildegard</dc:creator>
		<pubDate>Tue, 11 May 2010 15:13:56 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-727</guid>
		<description>Dear Mr. Freelon,
would it be possible, you send us your opinion on our
problem?
Since we calculate intercoder-reliability for different sub-studies of our project with your programme we easily get the reliabilty-results, including the amount of coder-differences.
We learnt that our coding-system ameliorated over the
time, and we started to use your programme to help us
to sharpen up our category-system by adding examples and by reformulating the rules. Hildegard did a complete analysis of the mistakes (disaggrements) found by ReCal2 and up to now 5 mistakes are remaining. In her thesis she wants to 
present the first calculation with about 60 disagreement, than a table with all commented disaggrements and then she executes a new reliability analysis and of course nearly
all categories show an aggrement of 100%. 
Can we do it like this? Or do you propose another
way? We find it very necessary to sharpen up our system through the process we explained above. 
An expert of methods like you, has he any arguments against this procedure?
Thanking you in anticipation for you soon reply
we remain with best wishes
Gaby and Hildegard</description>
		<content:encoded><![CDATA[<p>Dear Mr. Freelon,
would it be possible, you send us your opinion on our
problem?
Since we calculate intercoder-reliability for different sub-studies of our project with your programme we easily get the reliabilty-results, including the amount of coder-differences.
We learnt that our coding-system ameliorated over the
time, and we started to use your programme to help us
to sharpen up our category-system by adding examples and by reformulating the rules. Hildegard did a complete analysis of the mistakes (disaggrements) found by ReCal2 and up to now 5 mistakes are remaining. In her thesis she wants to 
present the first calculation with about 60 disagreement, than a table with all commented disaggrements and then she executes a new reliability analysis and of course nearly
all categories show an aggrement of 100%. 
Can we do it like this? Or do you propose another
way? We find it very necessary to sharpen up our system through the process we explained above. 
An expert of methods like you, has he any arguments against this procedure?
Thanking you in anticipation for you soon reply
we remain with best wishes
Gaby and Hildegard</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Paul Lambert</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-690</link>
		<dc:creator>Paul Lambert</dc:creator>
		<pubDate>Mon, 12 Apr 2010 03:54:38 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-690</guid>
		<description>Hi There, Thanks for making this tool available as it provides a quick and easy way to work out reliability. 

Well done!

Paul, South Australia</description>
		<content:encoded><![CDATA[<p>Hi There, Thanks for making this tool available as it provides a quick and easy way to work out reliability. </p>
<p>Well done!</p>
<p>Paul, South Australia</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Matt J. Duffy</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-635</link>
		<dc:creator>Matt J. Duffy</dc:creator>
		<pubDate>Tue, 23 Mar 2010 14:54:06 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-635</guid>
		<description>Thank you, Deen! What a fantastic program -- made my intercoder reliability calculation easy. Thanks as well for answering my questions via email. You&#039;re the best!</description>
		<content:encoded><![CDATA[<p>Thank you, Deen! What a fantastic program &#8212; made my intercoder reliability calculation easy. Thanks as well for answering my questions via email. You&#8217;re the best!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Ostkirchen Gabriele; Tolic Ivana</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-615</link>
		<dc:creator>Ostkirchen Gabriele; Tolic Ivana</dc:creator>
		<pubDate>Thu, 18 Mar 2010 14:16:10 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-615</guid>
		<description>Dear Mr. Freelon,
thank you for your helpful tool.
I am member of the study-group of Mrs. Dr. Ostkirchen.

After calculating the reliabilities we hat categories
with bad results. That&#039;s why we startet an analysis
of the mistakes. This helped us to improve our
category system. 
Best regard
Hildegard Lüdecke</description>
		<content:encoded><![CDATA[<p>Dear Mr. Freelon,
thank you for your helpful tool.
I am member of the study-group of Mrs. Dr. Ostkirchen.</p>
<p>After calculating the reliabilities we hat categories
with bad results. That&#8217;s why we startet an analysis
of the mistakes. This helped us to improve our
category system. 
Best regard
Hildegard Lüdecke</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Ostkirchen Gabriele; Tolic Ivana</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-559</link>
		<dc:creator>Ostkirchen Gabriele; Tolic Ivana</dc:creator>
		<pubDate>Wed, 27 Jan 2010 10:47:35 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-559</guid>
		<description>Dear Mr. Freelon,
you helped us a lot. We have a huge amount of data
out of different studies in which we analysed children&#039;s
stories about their pain experiences concerning an
accident by bicycle, headaches, abdominal pain and
getting a vaccination by the doctor. These stories
were all analysed by 2 independent coders and we
already knew, that only calculating the percentage
agreement is not enough. Then we read the paper of
Prof. Lombard and got to know, that you developped
a programm, doing all necessary calculations to
present the intercoder - reliability as requested.

We can&#039;t thank you enough for this great work.
It helps us and atleast about 20 students 
who are working in our project.

Thank&#039;s a lot. Others will write you, as soon as
they use your programm.

Best regard
Gaby Ostkirchen
Ivana Tolic</description>
		<content:encoded><![CDATA[<p>Dear Mr. Freelon,
you helped us a lot. We have a huge amount of data
out of different studies in which we analysed children&#8217;s
stories about their pain experiences concerning an
accident by bicycle, headaches, abdominal pain and
getting a vaccination by the doctor. These stories
were all analysed by 2 independent coders and we
already knew, that only calculating the percentage
agreement is not enough. Then we read the paper of
Prof. Lombard and got to know, that you developped
a programm, doing all necessary calculations to
present the intercoder &#8211; reliability as requested.</p>
<p>We can&#8217;t thank you enough for this great work.
It helps us and atleast about 20 students 
who are working in our project.</p>
<p>Thank&#8217;s a lot. Others will write you, as soon as
they use your programm.</p>
<p>Best regard
Gaby Ostkirchen
Ivana Tolic</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Jonas</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-553</link>
		<dc:creator>Jonas</dc:creator>
		<pubDate>Sat, 16 Jan 2010 17:16:46 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-553</guid>
		<description>Very usefull. Thank you for your effort on making content analysis an easier job. I will tell everyone about this tool. Keep up the good work!</description>
		<content:encoded><![CDATA[<p>Very usefull. Thank you for your effort on making content analysis an easier job. I will tell everyone about this tool. Keep up the good work!</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Eric Poldner</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-551</link>
		<dc:creator>Eric Poldner</dc:creator>
		<pubDate>Wed, 06 Jan 2010 14:47:03 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-551</guid>
		<description>I will use this site for testing my content analysis results during my phd research! The topic of my research is quantitative content analysis of student&#039;s reflective writings in Teacher Education. Eric</description>
		<content:encoded><![CDATA[<p>I will use this site for testing my content analysis results during my phd research! The topic of my research is quantitative content analysis of student&#8217;s reflective writings in Teacher Education. Eric</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Eric Poldner</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-550</link>
		<dc:creator>Eric Poldner</dc:creator>
		<pubDate>Wed, 06 Jan 2010 14:39:36 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-550</guid>
		<description>Thanks for this great tool , before I visited this website I used PRAM and the macro of Krippendorf in SPSS. But this tool is indeed faster and very handy! My ompliments to you! I shall recommend this website to toher researchers. Eric</description>
		<content:encoded><![CDATA[<p>Thanks for this great tool , before I visited this website I used PRAM and the macro of Krippendorf in SPSS. But this tool is indeed faster and very handy! My ompliments to you! I shall recommend this website to toher researchers. Eric</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Bob</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-516</link>
		<dc:creator>Bob</dc:creator>
		<pubDate>Fri, 18 Dec 2009 18:51:27 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-516</guid>
		<description>easy and convenient to use. It is faster than SAS MACRO that I am using.

Great job!!!

Bob</description>
		<content:encoded><![CDATA[<p>easy and convenient to use. It is faster than SAS MACRO that I am using.</p>
<p>Great job!!!</p>
<p>Bob</p>
]]></content:encoded>
	</item>
	<item>
		<title>By: Sonya</title>
		<link>http://dfreelon.org/utils/recalfront/#comment-508</link>
		<dc:creator>Sonya</dc:creator>
		<pubDate>Tue, 15 Dec 2009 01:38:12 +0000</pubDate>
		<guid isPermaLink="false">http://dfreelon.org/?page_id=16#comment-508</guid>
		<description>Ok, I am stumped. How can I have a percent agreement of .97 and a Scott&#039;s Pi of-.015? I have two coders coding either Yes (1) or No (0) for the presence of a variable. What am I doing wrong. I find when calculating by hand I get similar results (off by a decimal or so). When using RECAL or calculating Scotts Pi with more than two categories, I don&#039;t get negative Scotts Pi when the percent agreement is high.

Thanks so much for sharing your program and answering my question if you have the time.

Happy Holidays!

Sonya

&lt;em&gt;EDIT: I have &lt;a href=&quot;http://dfreelon.org/2009/12/14/from-the-mailbag-121409/&quot; rel=&quot;nofollow&quot;&gt;answered this question.&lt;/a&gt;&lt;/em&gt;</description>
		<content:encoded><![CDATA[<p>Ok, I am stumped. How can I have a percent agreement of .97 and a Scott&#8217;s Pi of-.015? I have two coders coding either Yes (1) or No (0) for the presence of a variable. What am I doing wrong. I find when calculating by hand I get similar results (off by a decimal or so). When using RECAL or calculating Scotts Pi with more than two categories, I don&#8217;t get negative Scotts Pi when the percent agreement is high.</p>
<p>Thanks so much for sharing your program and answering my question if you have the time.</p>
<p>Happy Holidays!</p>
<p>Sonya</p>
<p><em>EDIT: I have <a href="http://dfreelon.org/2009/12/14/from-the-mailbag-121409/" rel="nofollow">answered this question.</a></em></p>
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