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	<title>Lib(rary) Performance</title>
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		<title>Lib(rary) Performance</title>
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		<title>Assessment&#8217;s Top Models</title>
		<link>http://libperformance.com/2012/05/21/assessments-top-models/</link>
		<comments>http://libperformance.com/2012/05/21/assessments-top-models/#comments</comments>
		<pubDate>Mon, 21 May 2012 17:18:12 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Outcome assessment]]></category>
		<category><![CDATA[Process evaluation]]></category>
		<category><![CDATA[Program evaluation]]></category>
		<category><![CDATA[Program implementation]]></category>

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		<description><![CDATA[I recently attended a library webinar where the question of the difference between outputs and outcomes came up. The main idea was that outputs are programs and services an organization delivers, whereas outcomes are changes that occur in recipients, or their life situations, as a result of having received program services. Another was that outputs [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=5829&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>I recently attended a library webinar where the question of the difference between outputs and outcomes came up.  The main idea was that outputs are programs and services an organization delivers, whereas outcomes are changes that occur in recipients, or their life situations, as a result of having received program services.  Another was that outputs are distinguished by their more specific focus compared with outcomes, which are more general in scope.  When I heard this second idea, it seemed correct in a way but incorrect in another.  Mulling this over later, I began to wonder whether the first idea is not quite right, either.   </p>
<p>To explain these new definitional doubts I&#8217;m having, I&#8217;ll need to review a couple of evaluation models with you.  But first I&#8217;d like to clear something up.  Just because some expert somewhere has drawn a diagram with rectangles and arrows and concise labels and called it a “model” doesn’t mean her/his creation is true, or even remotely so. Models are only true if&#8230; <a href="http://wp.me/pTGLM-37q">[Read more]</a> </p>
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			<media:title type="html">Ray</media:title>
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		<item>
		<title>Fun With Numbers</title>
		<link>http://libperformance.com/2012/04/01/fun-with-numbers/</link>
		<comments>http://libperformance.com/2012/04/01/fun-with-numbers/#comments</comments>
		<pubDate>Sun, 01 Apr 2012 23:16:01 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Data vizualization]]></category>
		<category><![CDATA[Measurement]]></category>
		<category><![CDATA[Statistics]]></category>

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		<description><![CDATA[After so much stuff about evaluation theory and practice in this blog, it’s time for some fun! And what better fun is there than fun with numbers?1 Let&#8217;s begin our diversion with a graph from my prior post shown here. Looking closely, notice how some of the gold circles lie in neat, parallel bands. These [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=5799&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>After so much stuff about evaluation theory and practice in this blog, it’s time for some fun!  And what better fun is there than <span style="color:#ff0000;"><em>fun with numbers?</em></span><span style="font-size:xx-small;vertical-align:super;">1</span></span>  </p>
<p>Let&#8217;s begin our diversion with a graph from my <a href="http://libperform.wordpress.com/2011/06/17/smaller-is-beautifuler/">prior post</a>  shown here. Looking closely, notice how some of the gold circles lie in neat, parallel bands.  These bands </p>
<p><a href="http://public.tableausoftware.com/views/IMLS2009SelectedData_I/Staffper1K_15-20K_CH6AD?:embed=yes&amp;:toolbar=yes&amp;:tabs=no" target="_blank"><br />
<a href="http://public.tableausoftware.com/views/IMLS2009SelectedData_I/Staffper1K_15-20K_CH6AD?:embed=yes&amp;:toolbar=yes&amp;:tabs=no" target="_blank"><img src="http://raylyons.files.wordpress.com/2012/04/staffper1k_15-20k_ch6ad_320.jpg?w=500" alt="" title="Chart 6A from Prior Post"   class="aligncenter size-full wp-image-5824" /></a></p>
<p style="padding-left:60px;padding-right:50px;font-size:x-small;">Click for larger image. Rest cursor over any circle in larger image to see individual library data. &nbsp;&nbsp;Data Source: <a href="http://www.imls.gov/research/public_libraries_in_the_united_states_survey.aspx" target="_blank">IMLS 2009 Public Libraries Datafiles</a>.</p>
<p style="padding-top:5px;">are more obvious in next two charts, which ‘zoom in’ on the data by decreasing the vertical axes value ranges. When I first saw this pattern, I suspected that something had corrupted the data.  Double-checking, I found the data were fine, or at least they were true to the values in the <a href="http://www.imls.gov/research/public_libraries_in_the_united_states_survey.aspx" target="_blank">original IMLS datafile</a>.  So, I decided to resort to that popular and trusty problem-solving technique&#8230;&nbsp;&nbsp;&nbsp; <a href="http://wp.me/pTGLM-2Zv">[Read more]</a> </p>
<p> &nbsp;<br />
<span style="color:#8A8A8A;">&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;</span><br />
<span style="font-size:x-small;"><span style="font-size:xx-small;vertical-align:super;">1</span> &nbsp;No, this is not an April Fool&#8217;s joke.  I propose this fun in all seriousness!<br />
</span>  </p>
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			<media:title type="html">Ray</media:title>
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			<media:title type="html">Chart 6A from Prior Post</media:title>
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		<title>Indentured Certitude</title>
		<link>http://libperformance.com/2012/02/22/indentured-certitude/</link>
		<comments>http://libperformance.com/2012/02/22/indentured-certitude/#comments</comments>
		<pubDate>Wed, 22 Feb 2012 19:20:50 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Library assessment]]></category>
		<category><![CDATA[Outcome assessment]]></category>
		<category><![CDATA[Program evaluation]]></category>

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		<description><![CDATA[I want to share some information with you from a resource I mentioned last month. The resource is Edward Suchman’s 1967 book, Evaluative Research and the information is this diagram, which presents a basic model of evaluation:1 I share the diagram because it presents two ideas that don&#8217;t always percolate to the top of discussions [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=5775&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>I want to share some information with you from a resource I mentioned <a href="http://libperform.wordpress.com/2012/01/31/the-path-of-most-resistance/">last month</a>.  The resource is Edward Suchman’s 1967 book, <a href="http://www.worldcat.org/title/evaluative-research-principles-and-practice-in-public-service-social-action-programs/oclc/712569" target="_blank">Evaluative Research</a> and the information is this diagram, which presents a basic model of evaluation:<span style="font-size:xx-small;vertical-align:super;">1</span></p>
<p><a href="http://raylyons.files.wordpress.com/2012/02/suchmandiagram_240.jpg"><img src="http://raylyons.files.wordpress.com/2012/02/suchmandiagram_240.jpg?w=500" alt="" title="SuchmanDiagram_240"   class="aligncenter size-full wp-image-5784" /></a></p>
<p style="padding-top:5px;">I share the diagram because it presents two ideas that don&#8217;t always percolate to the top of discussions of library outcome assessment.  The first idea is the need for programmatic values to be made explicit beforehand.  Suchman, who worked in the public health field, gave this example:</p>
<p style="font-size:x-small;color:#000000;padding:0 25px 5px 35px;">
Suppose we begin with the value that it is better for people to have their own teeth rather than false teeth.  We may then set our goal that people shall retain their teeth as long as possible.<span style="font-size:xx-small;vertical-align:super;">2</span></span></p>
<p>Of course, it&#8217;s quite possible to hold different values.  For instance, one might prefer <span style="color:#ff0000;">false teeth</span> over natural ones&#8230;  &nbsp;&nbsp;&nbsp;  <a href="http://wp.me/pTGLM-2UL">[Read more]</a></p>
<p> &nbsp;<br />
<span style="color:#8A8A8A;">&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;</span></p>
<p><span style="font-size:x-small;"><span style="font-size:xx-small;vertical-align:super;">1</span> &nbsp;Suchman, E. A. (1967). <a href="http://www.worldcat.org/title/evaluative-research-principles-and-practice-in-public-service-social-action-programs/oclc/712569" target="_blank">Evaluative research: Principles and practice in public service and social action programs</a>, New York: Russell Sage, p.34.</p>
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			<media:title type="html">Ray</media:title>
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			<media:title type="html">SuchmanDiagram_240</media:title>
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		<title>The Path of Most Resistance</title>
		<link>http://libperformance.com/2012/01/31/the-path-of-most-resistance/</link>
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		<pubDate>Tue, 31 Jan 2012 16:04:21 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Advocacy]]></category>
		<category><![CDATA[Outcome assessment]]></category>
		<category><![CDATA[Reporting Evaluation/Assessment Results]]></category>

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		<description><![CDATA[The campaign to assess public library outcomes got a tremendous boost by Library Journal&#8217;s Director Summit held last month in Columbus, Ohio. It&#8217;s heartening to see library leaders getting serious about making outcome assessment integral to the management of U.S. public libraries! The excitement and determination are necessary for making progress on this front. And [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=5760&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p>The campaign to assess public library outcomes got a tremendous boost by <a href="http://lj.libraryjournal.com/2012/01/managing-libraries/data-driven-libraries-moving-from-outputs-to-outcomes/" target="_blank"><em>Library Journal&#8217;s</em> Director Summit</a> held last month in Columbus, Ohio.   It&#8217;s heartening to see library leaders getting serious about making outcome assessment integral to the management of U.S. public libraries! The excitement and determination are necessary for making progress on this front.  And it sounds like the summit was designed to let folks absorb relevant ideas in ways that make them their own.  </p>
<p>The onset of this newfound energy is the perfect time to commit ourselves to gaining a firm grasp on the core concepts and methods of outcome assessment.  Although measurement of outcomes is a new undertaking for libraries, it has been around for a long time in other contexts.  In fact, outcome evaluation approaches have been studied, debated, refined, and chronicled over the past forty-five years&#8230;  &nbsp;&nbsp;&nbsp; <a href="http://wp.me/pTGLM-2Il">[Read more]</p>
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		<title>Data Are Not Psychic</title>
		<link>http://libperformance.com/2011/11/28/data-are-not-psychic/</link>
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		<pubDate>Mon, 28 Nov 2011 19:30:33 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Measurement]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Statistics]]></category>
		<category><![CDATA[external validity]]></category>
		<category><![CDATA[generalizability]]></category>
		<category><![CDATA[inferential statistics]]></category>
		<category><![CDATA[perceptions of library users]]></category>
		<category><![CDATA[statistical significance testing]]></category>
		<category><![CDATA[survey research]]></category>

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		<description><![CDATA[It&#8217;s great to see other librarians advocating for the same causes I harp on in this blog. I’m referring to Sarah Robbins, Debra Engel, and Christina Kulp of the University of Oklahoma, whose article appears in the current issue of College &#38; Research Libraries. The article, entitled “How Unique Are Our Users?”1&#160; warns against the [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=5696&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><span style="font-size:x-small;color:#ff0000;vertical-align:super;"></span><br />
It&#8217;s great to see other librarians advocating for the same causes I harp on in this blog.  I’m referring to Sarah Robbins, Debra Engel, and Christina Kulp of the University of Oklahoma, whose article appears in the current issue of <a href="http://crl.acrl.org/" target="_blank">College &amp; Research Libraries.</a>  The article, entitled “How Unique Are Our Users?”<span style="font-size:xx-small;vertical-align:super;">1</span>&nbsp; warns against the folly of using <a href="http://www.socialresearchmethods.net/kb/sampnon.php" target="_blank">convenience samples</a>. It implores library researchers to honestly explain the limitations of their studies.  And the authors are resolute about the importance of understanding the <a href="http://www.socialresearchmethods.net/kb/external.php" target="_blank">generalizability of survey findings</a>, a topic which also happens to be the main focus of their study.  </p>
<p>I bring up their article for a different reason, however.  It is an example of how difficult and nuanced certain aspects of research and statistics can be. Despite the best of intentions, it’s amazingly easy to get tripped up by one or another detail.  Robbins and her colleagues got caught in the briar patch that is statistics and research methods.  I say so because the main conclusions reached in their study are not actually borne out by their survey results.  &nbsp;&nbsp;&nbsp; <a href="http://wp.me/pTGLM-2vq">[Read more...]</a></p>
<p> &nbsp;&nbsp;<br />
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<p><span style="font-size:x-small;"><span style="font-size:xx-small;vertical-align:super;">1</span>&nbsp; Robbins, S., Engel, D. and Kulp, C., 2011, How unique are our users?  Comparing responses regarding the information-seeking habits of engineering faculty, <em><a href="http://crl.acrl.org/" target="_blank">College &amp; Research Libraries,</a></em> 72:6,  pp. 515-532.</span></p>
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			<media:title type="html">Ray</media:title>
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		<item>
		<title>Beauty Is As Beauty Does</title>
		<link>http://libperformance.com/2011/10/28/beauty-is-as-beauty-does/</link>
		<comments>http://libperformance.com/2011/10/28/beauty-is-as-beauty-does/#comments</comments>
		<pubDate>Fri, 28 Oct 2011 04:04:42 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

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		<description><![CDATA[Infographics is one of two new fashionable terms used nowadays to refer to statistical charts and graphs. The other term is visualizations, which replaces such archaic words as graphs, charts, pictures, diagrams, and illustrations. Sometimes the term is affectionately shortened to data viz by its really cool practitioners. In the infographics/visualization/data viz movement there are [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=4909&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><span style="font-size:x-small;color:#ff0000;vertical-align:super;"></span><br />
<em>Infographics</em> is one of two new fashionable terms used nowadays to refer to statistical charts and graphs. The other term is <em>visualizations</em>,  which replaces such archaic words as graphs, charts, pictures, diagrams, and illustrations.  Sometimes the term is affectionately shortened to <em>data viz by</em> its really cool practitioners.</p>
<p>In the infographics/visualization/data viz movement there are two basic schools of thought.  One school emphasizes principles of artistic design and the other emphasizes information clarity. The first prizes graphics that are <span style="color:#ff0000;">beautiful</span> and appealing, while the other judges visualizations based on how informative they are.<span style="font-size:xx-small;vertical-align:super;">1</span>  &nbsp;Many adherents of the first approach to graphics are marketing and advertising professionals.  Lest you presume that they subscribe to the motto <a href="http://en.wikipedia.org/wiki/Art_for_art's_sake" target="_blank"><br />
ars gratia artis</a>&#8230;   &nbsp;&nbsp;&nbsp;&nbsp;<a href="http://wp.me/pTGLM-2sK" title="LibPerformance">[Read more...]</a></p>
<p> &nbsp;<br />
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<p><span style="font-size:x-small;"><span style="font-size:xx-small;vertical-align:super;">1</span> &nbsp;Of course, it is possible for graphics to be simultaneously beautiful and informational. Well-designed graphics can be elegant in their clarity and visual appeal. See Edward Tufte’s book <a href="http://www.edwardtufte.com/tufte/books_be" target="_blank">Beautiful Evidence</a>. </span></p>
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			<media:title type="html">Ray</media:title>
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		<title>Library Science</title>
		<link>http://libperformance.com/2011/09/29/library-science/</link>
		<comments>http://libperformance.com/2011/09/29/library-science/#comments</comments>
		<pubDate>Thu, 29 Sep 2011 19:46:38 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Measurement]]></category>
		<category><![CDATA[Reporting Evaluation/Assessment Results]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[scientific method]]></category>
		<category><![CDATA[verifying study findings]]></category>

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		<description><![CDATA[Evaluation, assessment, and performance measurement are not what you&#8217;d call sciences. But these activities do share certain things in common with science and the scientific method.1 &#160;One is the requirement that theories be tested based on the compilation of objective evidence. Another is the idea of replication, which is carefully repeating a measurement or experiment [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=4870&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><span style="font-size:x-small;color:#ff0000;vertical-align:super;"></span><br />
Evaluation, assessment, and performance measurement are not what you&#8217;d call sciences.  But these activities do share certain things in common with science and the <a href="http://en.wikipedia.org/wiki/Scientific_method" target="_blank">scientific method</a>.<span style="font-size:xx-small;vertical-align:super;">1</span>  &nbsp;One is the requirement that theories be tested based on the compilation of objective evidence.  Another is the idea of <a href="http://en.wikipedia.org/wiki/Replication_(scientific_method)" target="_blank">replication</a>, which is carefully repeating a measurement or experiment in order to verify that the initial findings were not an accident or mistake of some sort.  </p>
<p>Then there&#8217;s the more philosophical concept known as <a href="http://en.wikipedia.org/wiki/Falsifiability" target="_blank">falsifiablity</a>.  A scientific theory needs to be such that there is some way that it can be examined and possibly disproved.  A credible scientific theory is one that holds up under repeated attempts to be proven wrong. </p>
<p>In everyday terms, there is a lot of transparency and double-checking in science.   I bring these ideas up because, as it happens, there is a claim made in my <a href="http://libperform.wordpress.com/2011/06/17/smaller-is-beautifuler/">prior blog entry</a> that needs rechecked.  The claim is: </p>
<p style="color:#000000;padding:5px 35px;"><span style="font-size:x-small;">On the basis of per capita statistics, smaller U.S. public libraries out-perform the largest U.S. public libraries.</span></p>
<p><a href="http://wp.me/pTGLM-2l5">[Read more...]</a></p>
<p><span style="color:#8A8A8A;">&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;</span></p>
<p><span style="font-size:x-small;"><span style="font-size:xx-small;vertical-align:super;">1</span> &nbsp;Some of the foundational ideas in evaluation,  assessment, and especially performance measurement have also been borrowed from the field of financial auditing.  See Beryl Radin&#8217;s 2006 book, <a href="http://www.worldcat.org/title/challenging-the-performance-movement-accountability-complexity-and-democratic-values/oclc/61687807&amp;referer=brief_results" target="_blank">Challenging the Performance Movement: Accountability, Complexity, and Democratic Values</a> and Michael Power&#8217;s 1997 book, <a href="http://www.worldcat.org/title/audit-society-rituals-of-verification/oclc/36066037&amp;referer=brief_results" target="_blank">The Audit Society: Rituals of Verification</a>. </span> </p>
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		<title>How Do You Know That?</title>
		<link>http://libperformance.com/2011/08/23/how-do-you-know-that/</link>
		<comments>http://libperformance.com/2011/08/23/how-do-you-know-that/#comments</comments>
		<pubDate>Tue, 23 Aug 2011 15:32:57 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Measurement]]></category>
		<category><![CDATA[Research]]></category>
		<category><![CDATA[Statistics]]></category>
		<category><![CDATA[inferential statistics]]></category>
		<category><![CDATA[information literacy]]></category>
		<category><![CDATA[sampling error]]></category>
		<category><![CDATA[statistical significance testing]]></category>
		<category><![CDATA[survey research]]></category>
		<category><![CDATA[vetting information]]></category>

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		<description><![CDATA[I borrowed the title for this entry from a 2009 study of student research practices by Randall McClure and Kellian Clink. Their study is cited in an article in the current issue of College &#38; Research Libraries that Joe Matthews brought to my attention. This article is Students Use More Books After Library Instruction by [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=4857&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><span style="font-size:x-small;color:#ff0000;vertical-align:super;"></span>I borrowed the title for this entry from a <a href="http://muse.jhu.edu/journals/portal_libraries_and_the_academy/summary/v009/9.1.mcclure.html" target="_blank">2009 study of student research practices</a> by Randall McClure and Kellian Clink. Their study is cited in an article in the current issue of <em>College &amp; Research Libraries</em> that <a href="http://www.abc-clio.com/product.aspx?isbn=9781598847994" target="_blank">Joe Matthews</a> brought to my attention. This article is <a href="http://crl.acrl.org/content/72/4/332.abstract" target="_blank">Students Use More Books After Library Instruction</a> by Rachel Cooke and Danielle Rosenthal. Both articles explore research sources and citations that undergraduate students use in writing assignments. Though it&#8217;s the second article I want to discuss, McClure&#8217;s and Clink&#8217;s well-chosen title is too good to pass up. In fact, I&#8217;m thinking of making it the motto of this blog!</p>
<p>Anyway, in their article Cooke and Rosenthal report that university English composition students “used more books, more types of sources, and more overall sources when a librarian provided instruction.”<span style="font-size:xx-small;vertical-align:super;">1</span>   Their statement contains two separate claims&#8230;&nbsp;&nbsp; <a href="http://wp.me/pTGLM-2gB">[Read more...]</a></p>
<p>  &nbsp;<br />
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<p><span style="font-size:x-small;"><span style="font-size:xx-small;vertical-align:super;">1</span>  &nbsp;Cooke, R. and Rosenthal, D., 2011, Students Use More Books after Library Instruction: An Analysis of Undergraduate Paper Citations, <em>College &amp; Research Libraries,</em> 72:4, p. 332.</span></p>
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		<title>Beware of Vengeful Prayer</title>
		<link>http://libperformance.com/2011/07/21/beware-of-vengeful-prayer/</link>
		<comments>http://libperformance.com/2011/07/21/beware-of-vengeful-prayer/#comments</comments>
		<pubDate>Fri, 22 Jul 2011 01:16:56 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Accountability]]></category>
		<category><![CDATA[Outcome assessment]]></category>
		<category><![CDATA[Program implementation]]></category>

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		<description><![CDATA[I recently ran across a series of studies suggesting that prayer tends to lessen anger and aggression. Researchers concluded that prayer helps people adopt a more positive view of adverse or irritating circumstances. There also happens to be a sideline to their findings that illustrates something you don’t hear much about from proponents of outcomes [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=4834&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><span style="font-size:x-small;color:#ff0000;vertical-align:super;"></span>I recently ran across a <a href="http://www.sciencedaily.com/releases/2011/03/110321134714.htm" target="_blank">series of studies</a> suggesting that prayer tends to lessen anger and aggression. Researchers concluded that prayer helps people adopt a more positive view of adverse or irritating circumstances.  There also happens to be a sideline to their findings that illustrates something you don’t hear much about from proponents of outcomes assessment in libraries.  It involves this statement by the researchers:</p>
<p style="padding:5px 35px;"><em><span style="font-size:x-small;">These results would only apply to the typical benevolent prayers that are advocated by most religions…&nbsp;<span style="color:#ff0000;">Vengeful or hateful prayers,</span> rather than changing how people view a negative situation, may actually fuel anger and aggression. </span></em></p>
<p>Though the aims of the prayer studies differ from those of library outcomes studies, the two research approaches are similar in this respect:  When studying effects of a program, treatment, or intervention, if we’re not sure about the exact content of that program, treatment, or intervention, then we have  a problem.  In the field of program evaluation this problem falls under the rubric of <span style="color:#ff0000;"><em>program fidelity.</em></span>  &nbsp; <a href="http://wp.me/pTGLM-2cI">[Read more...]</a></p>
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		<title>Smaller is Beautifuler</title>
		<link>http://libperformance.com/2011/06/17/smaller-is-beautifuler/</link>
		<comments>http://libperformance.com/2011/06/17/smaller-is-beautifuler/#comments</comments>
		<pubDate>Sat, 18 Jun 2011 02:24:52 +0000</pubDate>
		<dc:creator>raylyons</dc:creator>
				<category><![CDATA[Library assessment]]></category>
		<category><![CDATA[Measurement]]></category>
		<category><![CDATA[Statistics]]></category>

		<guid isPermaLink="false">http://libperformance.com/?p=4815</guid>
		<description><![CDATA[A recent article in AL Direct entitled The Smartest Readers presents some simple library rankings based on that stalwart library measure, circulation per capita. Rankings like these are, at least to me, a reminder of a perennial conundrum concerning the meaning of per capita library measures. For more than a century librarianship has puzzled over [...]<img alt="" border="0" src="http://stats.wordpress.com/b.gif?host=libperformance.com&#038;blog=3571934&#038;post=4815&#038;subd=raylyons&#038;ref=&#038;feed=1" width="1" height="1" />]]></description>
			<content:encoded><![CDATA[<p><span style="font-size:x-small;color:#ff0000;vertical-align:super;"></span>A recent article in <a href="http://americanlibrariesmagazine.org/aldirect" target="_blank"><em>AL Direct</em></a> entitled <a href="http://www.americanlibrariesmagazine.org/news/06062011/smartest-readers" target="_blank">The Smartest Readers</a> presents some simple library rankings based on that stalwart library measure, circulation per capita.  Rankings like these are, at least to me, a reminder of a perennial conundrum concerning the meaning of per capita library measures.  For more than a century librarianship has puzzled over how to evaluate these statistics.  Do per capita data tell us whether or not libraries are doing a good job?  What amounts of materials made available or levels of services delivered are sufficient for libraries with specific missions and serving communities of a particular size and makeup?  </p>
<p>Mainly, libraries have to rely on their own ingenuity to interpret per capita or per constituent data (like per student, faculty, employee, subscriber, stakeholder, and such).  About the only official guidance they have gotten over the decades is advice about comparing (benchmarking) their data with appropriate peer libraries.  Lacking some more objective gauge of statistical performance, libraries end up applying what might be called the <span style="color:#ff0000;"><em>more-is-better rule</em>.</span> &nbsp; <a href="http://wp.me/pTGLM-27d">[Read more...]</a>  </p>
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