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	<title>Comments on: SPSS Binary Regression</title>
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	<pubDate>Thu, 18 Mar 2010 22:38:26 +0000</pubDate>
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		<title>By: Drspss</title>
		<link>http://itknowledgeexchange.techtarget.com/itanswers/spss-binary-regression/#comment-74598</link>
		<dc:creator>Drspss</dc:creator>
		<pubDate>Mon, 08 Mar 2010 12:48:48 +0000</pubDate>
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		<description>Hi Harry, Yes, SPSS can convert male and female into 1's and 2's or visa versa. However, we advice you to use 0 and 1 for binary variables. Use zero to indicate the absence of a trait and 1 to indicate its presence. For instance, the binary variable ‘having  a disease’ should be coded 0 for healthy people and 1 for sick people. In the case of gender, there is no presence or absence of gender, so it doesn’t matter who you assign the 1 and 0 to. You are free to use any other two digits. However, 0 and 1 allow for the clearest interpretation of output. Trust us.  Especially when you use the variables in regression, binary variables coded by 0 and 1 will be very easy to interpret. If you need more help, refer to http://www.drspss.blogspot.com</description>
		<content:encoded><![CDATA[<p>Hi Harry, Yes, SPSS can convert male and female into 1&#8217;s and 2&#8217;s or visa versa. However, we advice you to use 0 and 1 for binary variables. Use zero to indicate the absence of a trait and 1 to indicate its presence. For instance, the binary variable ‘having  a disease’ should be coded 0 for healthy people and 1 for sick people. In the case of gender, there is no presence or absence of gender, so it doesn’t matter who you assign the 1 and 0 to. You are free to use any other two digits. However, 0 and 1 allow for the clearest interpretation of output. Trust us.  Especially when you use the variables in regression, binary variables coded by 0 and 1 will be very easy to interpret. If you need more help, refer to&nbsp;&lt;a href="http://www.drspss.blogspot.com" title="http://www.drspss.blogspot.com" target="_blank"&gt;http://www.drspss.blogspot.com&lt;/a&gt;</p>
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