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	<title>NickGeidner.com &#187; HLM</title>
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	<description>The blog of a political communication doctoral candidate at The Ohio State University.</description>
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		<title>Student Newspaper</title>
		<link>http://nickgeidner.com/blog/2009/03/student-newspaper/</link>
		<comments>http://nickgeidner.com/blog/2009/03/student-newspaper/#comments</comments>
		<pubDate>Mon, 09 Mar 2009 20:43:48 +0000</pubDate>
		<dc:creator>Nick</dc:creator>
				<category><![CDATA[Uncategorized]]></category>
		<category><![CDATA[2008 election]]></category>
		<category><![CDATA[HLM]]></category>
		<category><![CDATA[journalism]]></category>
		<category><![CDATA[newspaper]]></category>
		<category><![CDATA[null]]></category>
		<category><![CDATA[presidential]]></category>
		<category><![CDATA[research]]></category>

		<guid isPermaLink="false">http://nickgeidner.com/blog/?p=297</guid>
		<description><![CDATA[I recently ran some data for my HLM class looking at student newspaper availability and political enthusiasm and participation. I had null findings everywhere. Here are more specifics:
Hypotheses
H1: The availability  of a student newspaper on a college campus will positively impact individual-level enthusiasm towards the 2008 presidential campaign.
H2: The availability of a student newspaper [...]]]></description>
			<content:encoded><![CDATA[<p>I recently ran some data for my HLM class looking at student newspaper availability and political enthusiasm and participation. I had null findings everywhere. Here are more specifics:</p>
<p>Hypotheses<br />
H1: The availability  of a student newspaper on a college campus will positively impact individual-level enthusiasm towards the 2008 presidential campaign.<br />
H2: The availability of a student newspaper on a college campus will positively impact an individual&#8217;s likelihood to attend a campaign event.<br />
H3: The availability of a student newspaper on a college campus will positively impact an individual&#8217;s likelihood to volunteer for a campaign.</p>
<p>Sample estimates<br />
Level 1: Survey of 25,000 college students at 50 colleges and universities in 4 battleground states during October 2008.<br />
Level 2: Newspaper data, enrollment, public/private, and aggregate candidate contact data derived for 32 of the above schools.</p>
<p>Controls<br />
Level 1: Sex, Age, Race, Candidate contact, Political ideology, Political party, news media use, and political discussion<br />
Level 2: Enrollment, Public vs. private, and aggregate campaign contact.</p>
<p>IV<br />
&#8220;Student newspaper availability&#8221; was created by multiplying the average print run for the paper by the number of times is pass printed per week and then dividing by undergraduate enrollment. This gave a value which was equivalent to the number of newspapers printed per undergrad per week.</p>
<p>DV&#8217;s<br />
Enthusiasm: 4 point scale (ran as ordinal logit model)<br />
Attend campaign event: Dichotomous<br />
Volunteer for a campaign: Dichotomous</p>
<p>Findings<br />
In none of the models did student newspaper availability have a significant effect on the outcome variable (p=.165 to p=.865).</p>
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