<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>E-learning Curve Blog at Edublogs &#187; case study</title>
	<atom:link href="http://elearningcurve.edublogs.org/category/case-study/feed/" rel="self" type="application/rss+xml" />
	<link>http://elearningcurve.edublogs.org</link>
	<description>E-learning Curve Blog is Michael Hanley&#039;s elearning blog about skills, knowledge, and organizational development using web-based training and technology in education</description>
	<lastBuildDate>Wed, 09 Sep 2009 16:00:09 +0000</lastBuildDate>
	<generator>http://wordpress.org/?v=2.8.2</generator>
	<language>en</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
			<item>
		<title>Corporate social networks, long tails, weak ties</title>
		<link>http://elearningcurve.edublogs.org/2008/07/01/corporate-social-networks-long-tails-weak-ties-2/</link>
		<comments>http://elearningcurve.edublogs.org/2008/07/01/corporate-social-networks-long-tails-weak-ties-2/#comments</comments>
		<pubDate>Tue, 01 Jul 2008 13:52:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[Corporate social network]]></category>
		<category><![CDATA[Long Tail]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[conditions of learning]]></category>
		<category><![CDATA[strength of weak ties]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/07/01/corporate-social-networks-long-tails-weak-ties-2/</guid>
		<description><![CDATA[Today&#8217;s post is really a (very) mini case study in the power of integrated corporate social networks, the benefits of long tails in learning, and the strength of weak social ties.  
Now read on&#8230;  
If you&#8217;re not familiar with the latter two concepts here&#8217;s a little background: the idea of the strength of [...]]]></description>
			<content:encoded><![CDATA[<p>Today&#8217;s post is really a (very) mini case study in the power of integrated corporate social networks, the benefits of long tails in learning, and the strength of weak social ties.  </p>
<p><strong>Now read on&#8230;</strong>  </p>
<p>If you&#8217;re not familiar with the latter two concepts here&#8217;s a little background: the idea of the strength of weak ties is a theory from sociology; according to its originator Mark Granovetter  </p>
<blockquote><p>the argument asserts that our acquaintances (weak ties) are less likely to be socially involved with one another than are our close friends (strong ties). Thus the set of people made up of any individual and his or her acquaintances comprises a low-density network (one in which many of the possible relational lines are absent) whereas the set consisting of the same individual and his or her close friends will be densely knit (many of the possible lines are present).  </p>
<p>It follows, then, that individuals with few weak ties will be deprived of information from distant parts of the social system and will be confined to the provincial news and views of their close friends. This deprivation will [...] insulate them from the latest ideas.</p>
</blockquote>
<p align="right">(1983, pp.201-202) </p>
<p>The concept of the long tail is something both Jay Cross and Tony Karrer have recently discussed and is example of how the Web (and particularly Web 2.0 technology) changes the way assets &#8211; whether physical artifacts like books, or knowledge and informational assets persist for an extended period beyond their supposed &#8220;sell-by&#8221; date:  </p>
<blockquote><p>Long tails for the enterprise occur when the power to create and publish is widely held, the content can be distributed at near-zero cost and a market exists that connects knowledge workers with a nearly infinite number of content creators.</p>
</blockquote>
<p align="right">(Kilian, D. 2007) </p>
<p>Here&#8217;s a pertinent example of how these ideas manifest themselves in the workplace: last week, I suffered from a niggly problem with my Outlook e-mail client &#8211; it wouldn&#8217;t poll the Exchange server and update itself every 20 minutes as it was supposed to do. So I logged a snag on the corporate <a href="http://www.bugzilla.org/" target="_blank">Bugzilla</a> implementation about the issue. The IT person, who I would describe as being a a journeyman level of competence (has passed their certification exams and is no longer a novice, but is not yet an expert) wen though all the things your supposed to do to resolve such issues  </p>
<ul>
<li>ran ScanPST.exe</li>
<li>checked my e-mail profile</li>
<li>consulted MSDN</li>
<li>looked at forums for similar issues based on the Error ID </li>
</ul>
<p>&#8230; as well as some &#8220;beyond the call of duty&#8221; activities (a time-consuming MS Office reinstall).  </p>
<p>All to no avail.  </p>
<p>So I got my laptop back and had resolved myself to living with this seemingly intractable minor inconvenience, when a third contributor (a more knowledgeable IT support person), working from home, happened to encounter the issue when scanning through Bugzilla, entered the discussion with a simple &#8220;I know what this is.&#8221;</p>
<p>So, by accessing my laptop via a PC-sharing application, the issue was resolved in about 20 minutes, after 5 days of dead ends and frustration. </p>
<p>The moral of the story is: by developing a corporate culture that encourages wide-ranging participation, and by providing a corporate knowledge-sharing environment (Bugzilla in this case), you increase the chances that somebody you&#8217;re associated with, no matter how loosely, will have the appropriate knowledge and expertise to find a solution to an issue. The added learning benefit from the journeyman contributors perspective, is that they have added to their knowledge experientially, by interacting with the More Knowledgeable Other. I would suggest that the knowledge asset acquired by being involved in this problem-solving activity has been aggregated into their personal experience schema, enabling them to grow a little more knowledgeable (or even wiser).  </p>
<p>Oh yes&#8230; the solution to the Outlook issue?  </p>
<p>Delete and recreate your profile in Outlook.  </p>
<p>_______________  </p>
<p><strong>References:</strong>  </p>
<p>Cross, J. (2008) <em>Strength of weak knowledge sources.</em> [Internet] Available from: <a href="http://internettime.com/2008/04/21/strength-of-weak-knowledge-sources/">http://internettime.com/2008/04/21/strength-of-weak-knowledge-sources/</a> Accessed 1 July 2008  </p>
<p>Granovetter, M. (1983) The Strength of Weak Ties: A Network Theory Revisited. <em>Sociological Theory</em>, Volume 1, 201-233. State University of New York,<br />Stonybrook. [Internet] Available from: <a href="http://www.si.umich.edu/%7Erfrost/courses/SI110/readings/In_Out_and_Beyond/Granovetter.pdf">http://www.si.umich.edu/~rfrost/courses/SI110/readings/In_Out_and_Beyond/Granovetter.pdf</a> Accessed 1 July 2008  </p>
<p>Karrer, T. (2008) <em>Corporate Learning Long Tail and Attention Crisis : eLearning Technology</em>. [Internet] Available from: <a href="http://elearningtech.blogspot.com/2008/02/corporate-learning-long-tail-and.html">http://elearningtech.blogspot.com/2008/02/corporate-learning-long-tail-and.html</a> Accessed 1 July 2008  </p>
<p>Kilian, D. (2007) <em>The Learning Organization Meets the Long Tail (Part 2).</em> [Internet] Available from:<br /><a href="http://www.clomedia.com/guest-editorial/2007/October/1949/index.php">http://www.clomedia.com/guest-editorial/2007/October/1949/index.php</a> Accessed 1 July 2008</p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/07/01/corporate-social-networks-long-tails-weak-ties-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Corporate social networks, long tails, weak ties</title>
		<link>http://elearningcurve.edublogs.org/2008/07/01/corporate-social-networks-long-tails-weak-ties/</link>
		<comments>http://elearningcurve.edublogs.org/2008/07/01/corporate-social-networks-long-tails-weak-ties/#comments</comments>
		<pubDate>Tue, 01 Jul 2008 13:52:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[Corporate social network]]></category>
		<category><![CDATA[Long Tail]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[conditions of learning]]></category>
		<category><![CDATA[strength of weak ties]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/07/01/corporate-social-networks-long-tails-weak-ties/</guid>
		<description><![CDATA[Today&#8217;s post is really a (very) mini case study in the power of integrated corporate social networks, the benefits of long tails in learning, and the strength of weak social ties.  
Now read on&#8230;  
If you&#8217;re not familiar with the latter two concepts here&#8217;s a little background: the idea of the strength of [...]]]></description>
			<content:encoded><![CDATA[<p>Today&#8217;s post is really a (very) mini case study in the power of integrated corporate social networks, the benefits of long tails in learning, and the strength of weak social ties.  </p>
<p><strong>Now read on&#8230;</strong>  </p>
<p>If you&#8217;re not familiar with the latter two concepts here&#8217;s a little background: the idea of the strength of weak ties is a theory from sociology; according to its originator Mark Granovetter  </p>
<blockquote><p>the argument asserts that our acquaintances (weak ties) are less likely to be socially involved with one another than are our close friends (strong ties). Thus the set of people made up of any individual and his or her acquaintances comprises a low-density network (one in which many of the possible relational lines are absent) whereas the set consisting of the same individual and his or her close friends will be densely knit (many of the possible lines are present).  </p>
<p>It follows, then, that individuals with few weak ties will be deprived of information from distant parts of the social system and will be confined to the provincial news and views of their close friends. This deprivation will [...] insulate them from the latest ideas.</p>
</blockquote>
<p align="right">(1983, pp.201-202) </p>
<p>The concept of the long tail is something both Jay Cross and Tony Karrer have recently discussed and is example of how the Web (and particularly Web 2.0 technology) changes the way assets &#8211; whether physical artifacts like books, or knowledge and informational assets persist for an extended period beyond their supposed &#8220;sell-by&#8221; date:  </p>
<blockquote><p>Long tails for the enterprise occur when the power to create and publish is widely held, the content can be distributed at near-zero cost and a market exists that connects knowledge workers with a nearly infinite number of content creators.</p>
</blockquote>
<p align="right">(Kilian, D. 2007) </p>
<p>Here&#8217;s a pertinent example of how these ideas manifest themselves in the workplace: last week, I suffered from a niggly problem with my Outlook e-mail client &#8211; it wouldn&#8217;t poll the Exchange server and update itself every 20 minutes as it was supposed to do. So I logged a snag on the corporate <a href="http://www.bugzilla.org/" target="_blank">Bugzilla</a> implementation about the issue. The IT person, who I would describe as being a a journeyman level of competence (has passed their certification exams and is no longer a novice, but is not yet an expert) wen though all the things your supposed to do to resolve such issues  </p>
<ul>
<li>ran ScanPST.exe</li>
<li>checked my e-mail profile</li>
<li>consulted MSDN</li>
<li>looked at forums for similar issues based on the Error ID </li>
</ul>
<p>&#8230; as well as some &#8220;beyond the call of duty&#8221; activities (a time-consuming MS Office reinstall).  </p>
<p>All to no avail.  </p>
<p>So I got my laptop back and had resolved myself to living with this seemingly intractable minor inconvenience, when a third contributor (a more knowledgeable IT support person), working from home, happened to encounter the issue when scanning through Bugzilla, entered the discussion with a simple &#8220;I know what this is.&#8221;</p>
<p>So, by accessing my laptop via a PC-sharing application, the issue was resolved in about 20 minutes, after 5 days of dead ends and frustration. </p>
<p>The moral of the story is: by developing a corporate culture that encourages wide-ranging participation, and by providing a corporate knowledge-sharing environment (Bugzilla in this case), you increase the chances that somebody you&#8217;re associated with, no matter how loosely, will have the appropriate knowledge and expertise to find a solution to an issue. The added learning benefit from the journeyman contributors perspective, is that they have added to their knowledge experientially, by interacting with the More Knowledgeable Other. I would suggest that the knowledge asset acquired by being involved in this problem-solving activity has been aggregated into their personal experience schema, enabling them to grow a little more knowledgeable (or even wiser).  </p>
<p>Oh yes&#8230; the solution?  </p>
<p>Delte and recreate your profile in Outlook.  </p>
<p>_______________  </p>
<p><strong>References:</strong>  </p>
<p>Cross, J. (2008) <em>Strength of weak knowledge sources.</em> [Internet] Available from: <a href="http://internettime.com/2008/04/21/strength-of-weak-knowledge-sources/">http://internettime.com/2008/04/21/strength-of-weak-knowledge-sources/</a> Accessed 1 July 2008  </p>
<p>Granovetter, M. (1983) The Strength of Weak Ties: A Network Theory Revisited. <em>Sociological Theory</em>, Volume 1, 201-233. State University of New York,<br />Stonybrook. [Internet] Available from: <a href="http://www.si.umich.edu/%7Erfrost/courses/SI110/readings/In_Out_and_Beyond/Granovetter.pdf">http://www.si.umich.edu/~rfrost/courses/SI110/readings/In_Out_and_Beyond/Granovetter.pdf</a> Accessed 1 July 2008  </p>
<p>Karrer, T. (2008) <em>Corporate Learning Long Tail and Attention Crisis : eLearning Technology</em>. [Internet] Available from: <a href="http://elearningtech.blogspot.com/2008/02/corporate-learning-long-tail-and.html">http://elearningtech.blogspot.com/2008/02/corporate-learning-long-tail-and.html</a> Accessed 1 July 2008  </p>
<p>Kilian, D. (2007) <em>The Learning Organization Meets the Long Tail (Part 2).</em> [Internet] Available from:<br /><a href="http://www.clomedia.com/guest-editorial/2007/October/1949/index.php">http://www.clomedia.com/guest-editorial/2007/October/1949/index.php</a> Accessed 1 July 2008</p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/07/01/corporate-social-networks-long-tails-weak-ties/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Guidelines for Evaluating Training Programs</title>
		<link>http://elearningcurve.edublogs.org/2008/04/07/guidelines-for-evaluating-training-programs-2/</link>
		<comments>http://elearningcurve.edublogs.org/2008/04/07/guidelines-for-evaluating-training-programs-2/#comments</comments>
		<pubDate>Mon, 07 Apr 2008 11:40:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[Kirkpatrick]]></category>
		<category><![CDATA[Pretest design]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[evaluate]]></category>
		<category><![CDATA[evaluate learning]]></category>
		<category><![CDATA[learning outcomes]]></category>
		<category><![CDATA[measurement]]></category>
		<category><![CDATA[metrics]]></category>
		<category><![CDATA[research methodologies]]></category>
		<category><![CDATA[research methods]]></category>
		<category><![CDATA[training evaluation model]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/04/07/guidelines-for-evaluating-training-programs-2/</guid>
		<description><![CDATA[An advantage of the retrospective pre-test model is that it can assist in addressing some of the gaps exposed by the lack of range-of-transfer of learning metrics provided by a Level 2 analysis of learners: in effect &#8211; to borrow a phrase from Jens Bjornavold – “make learning visible” (2004, p.64). This is essential, because [...]]]></description>
			<content:encoded><![CDATA[<p class="MsoNormal" style="margin-right: -7.4pt;text-align: justify"><span>An advantage of the retrospective pre-test model is that it can assist in addressing some of the gaps exposed by the lack of range-of-transfer of learning metrics provided by a Level 2 analysis of learners: in effect &#8211; to borrow a phrase from Jens Bjornavold – “make learning visible” (2004, p.64). This is essential, because it helps measure learning. In Chapter 5 of <u>Evaluating Training Programs</u> (2006) Kirkpatrick and Kirkpatrick stress the significance of measuring learning, because “no change in behaviour can be expected unless one or more of the learning objectives have been accomplished” (p.42). They set out “helpful” guidelines for the measurement of learning: </span></p>
<p>  <span><br /></span>
<p class="TableCaption"><a name="_Toc166850004">Table </a><!--[if supportFields]&gt;<span></span><span></span><span><span> </span>STYLEREF 1 \s <span></span></span>&lt;![endif]&#8211;><span><span>1</span></span><span><span></span></span><!--[if supportFields]&gt;<span></span><span></span>&lt;![endif]&#8211;><span><span> Guidelines for evaluating learning</span></span></p>
<table class="MsoNormalTable" style="border: medium none" border="1" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><b><span>Guidelines   for evaluating learning </span></b></p>
</td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<ol style="margin-top: 0cm" start="1" type="1">
<li class="MsoNormal"><span>Use a control        group if practical</span></li>
</ol>
</td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<ol style="margin-top: 0cm" start="2" type="1">
<li class="MsoNormal"><span>Evaluate        knowledge skills and/or attitudes both before and after the program</span></li>
</ol>
</td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<ol style="margin-top: 0cm" start="3" type="1">
<li class="MsoNormal"><span>Use a        paper-and-pencil test to measure knowledge and attitudes</span></li>
</ol>
</td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<ol style="margin-top: 0cm" start="4" type="1">
<li class="MsoNormal"><span>Use a        performance test to measure skills</span></li>
</ol>
</td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<ol style="margin-top: 0cm" start="5" type="1">
<li class="MsoNormal"><span>Get a 100 per        cent response</span></li>
</ol>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<ol style="margin-top: 0cm" start="6" type="1">
<li class="MsoNormal"><span>Use the        results of the evaluation to take appropriate action</span></li>
</ol>
</td>
</tr>
</tbody>
</table>
<p class="MsoNormal" style="margin-right: -7.4pt;text-align: justify"><span> </span><span>References: </span><br /><span></span></p>
<p class="MsoNormal" style="margin: 0cm -7.4pt 14.4pt 0cm;text-align: justify">
<p class="MsoFootnoteText" style="margin-bottom: 14.4pt"><span>Bjornavold, J. (2004) Making Learning Visible: Validation of Formal, Non-Formal and Informal Learning: policy and practices in EU Member States1. <i>European Journal of Education</i> [Internet] 39 (1), 69–89. Available from: <a href="http://www.acc.eu.org/uploads/Makinglearningvisible_1.pdf">http://www.acc.eu.org/uploads/<br />Makinglearningvisible_1.pdf</a> [Accessed 21st February 2007]</span></p>
<p class="MsoNormal" style="margin: 0cm -7.4pt 14.4pt 0cm;text-align: justify"><span>Kirkpatrick, D. &amp; Kirkpatrick, P. (2006) <i>Evaluating Training Programs. </i>3rd ed. San   Francisco, CA: Berrett-Koehler Publishers, Inc.</span></p>
<p class="TableCaption"><a name="_Toc166850004"></a></p>
<p>  &#8211;</p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/04/07/guidelines-for-evaluating-training-programs-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Guidelines for Evaluating Training Programs</title>
		<link>http://elearningcurve.edublogs.org/2008/04/07/guidelines-for-evaluating-training-programs/</link>
		<comments>http://elearningcurve.edublogs.org/2008/04/07/guidelines-for-evaluating-training-programs/#comments</comments>
		<pubDate>Mon, 07 Apr 2008 11:40:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[Kirkpatrick]]></category>
		<category><![CDATA[Pretest design]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[evaluate]]></category>
		<category><![CDATA[evaluate learning]]></category>
		<category><![CDATA[learning outcomes]]></category>
		<category><![CDATA[measurement]]></category>
		<category><![CDATA[metrics]]></category>
		<category><![CDATA[research methodologies]]></category>
		<category><![CDATA[research methods]]></category>
		<category><![CDATA[training evaluation model]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/04/07/guidelines-for-evaluating-training-programs/</guid>
		<description><![CDATA[An advantage of the retrospective pre-test model is that it can assist in addressing some of the gaps exposed by the lack of range-of-transfer of learning metrics provided by a Level 2 analysis of learners: in effect &#8211; to borrow a phrase from Jens Bjornavold – “make learning visible” (2004, p.64). This is essential, because [...]]]></description>
			<content:encoded><![CDATA[<p>An advantage of the retrospective pre-test model is that it can assist in addressing some of the gaps exposed by the lack of range-of-transfer of learning metrics provided by a Level 2 analysis of learners: in effect &#8211; to borrow a phrase from Jens Bjornavold – “make learning visible” (2004, p.64). This is essential, because it helps measure learning. In Chapter 5 of <u>Evaluating Training Programs</u> (2006) Kirkpatrick and Kirkpatrick stress the significance of measuring learning, because “no change in behaviour can be expected unless one or more of the learning objectives have been accomplished” (p.42). They set out “helpful” guidelines for the measurement of learning: </p>
<p>
<p><a name="_Toc166850004">Table </a><!--[if supportFields]&gt; STYLEREF 1 \s &lt;![endif]-->1<!--[if supportFields]&gt;&lt;![endif]--> Guidelines for evaluating learning</p>
<table border="1" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td valign="top" width="711">
<p><b>Guidelines   for evaluating learning </b></p>
</td>
</tr>
<tr>
<td valign="top" width="711">
<ol>
<li>Use a control        group if practical</li>
</ol>
</td>
</tr>
<tr>
<td valign="top" width="711">
<ol>
<li>Evaluate        knowledge skills and/or attitudes both before and after the program</li>
</ol>
</td>
</tr>
<tr>
<td valign="top" width="711">
<ol>
<li>Use a        paper-and-pencil test to measure knowledge and attitudes</li>
</ol>
</td>
</tr>
<tr>
<td valign="top" width="711">
<ol>
<li>Use a        performance test to measure skills</li>
</ol>
</td>
</tr>
<tr>
<td valign="top" width="711">
<ol>
<li>Get a 100 per        cent response</li>
</ol>
</td>
</tr>
<tr>
<td valign="top" width="711">
<ol>
<li>Use the        results of the evaluation to take appropriate action</li>
</ol>
</td>
</tr>
</tbody>
</table>
<p> References: </p>
</p>
<p>Bjornavold, J. (2004) Making Learning Visible: Validation of Formal, Non-Formal and Informal Learning: policy and practices in EU Member States1. <i>European Journal of Education</i> [Internet] 39 (1), 69–89. Available from: <a href="http://www.acc.eu.org/uploads/Makinglearningvisible_1.pdf">http://www.acc.eu.org/uploads/<br />Makinglearningvisible_1.pdf</a> [Accessed 21st February 2007]</p>
<p>Kirkpatrick, J. &amp; Kirkpatrick, P. (2006) <i>Evaluating Training Programs. </i>3rd ed. San   Francisco, CA: Berrett-Koehler Publishers, Inc.</p>
<p><a name="_Toc166850004"></a></p>
<p>  &#8211;</p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/04/07/guidelines-for-evaluating-training-programs/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Assessing learning programs: advantages and disadvantages of the pre-test design</title>
		<link>http://elearningcurve.edublogs.org/2008/04/03/assessing-learning-programs-advantages-and-disadvantages-of-the-pre-test-design-2/</link>
		<comments>http://elearningcurve.edublogs.org/2008/04/03/assessing-learning-programs-advantages-and-disadvantages-of-the-pre-test-design-2/#comments</comments>
		<pubDate>Thu, 03 Apr 2008 09:18:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[Pretest design]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[evaluate]]></category>
		<category><![CDATA[evaluate learning]]></category>
		<category><![CDATA[learning outcomes]]></category>
		<category><![CDATA[measurement]]></category>
		<category><![CDATA[metrics]]></category>
		<category><![CDATA[research methodologies]]></category>
		<category><![CDATA[research methods]]></category>
		<category><![CDATA[training evaluation model]]></category>
		<category><![CDATA[triangulation]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/04/03/assessing-learning-programs-advantages-and-disadvantages-of-the-pre-test-design-2/</guid>
		<description><![CDATA[When choosing to integrate the retrospective pre-test design method into your learning program evaluation and measurement methodology, the selection must take place in the after very carefully evaluating arguments both for and against its utility. The method has many advantages for the practitioner-researcher (see Table 1) but one must be cognisant of the threats to [...]]]></description>
			<content:encoded><![CDATA[<p class="MsoNormal" style="margin-right: -7.4pt;text-align: justify"><span style="font-family:&#038;quot">When choosing to integrate the retrospective pre-test design method into your learning program evaluation and measurement methodology, the selection must take place in the after very carefully evaluating arguments both for and against its utility. The method has many advantages for the practitioner-researcher (see Table 1</span><span style="font-family:&#038;quot">) but one must be cognisant of the threats to validity. However, in the context of the case study method, triangulation of data from other sources (questionnaires, surveys, quantitative analysis of access logs, LMS records, summative assessments and so on) can be used to counteract or balance such threats.</span></p>
<p class="MsoNormal" style="margin-right: -7.4pt;text-align: justify"><span style="font-family:&#038;quot"> </span></p>
<p class="TableCaption"><a name="_Toc166850003">Table </a><!--[if supportFields]&gt;<span></span><span></span><span><span> </span>STYLEREF 1 \s <span></span></span>&lt;![endif]&#8211;><span><span>1</span></span><span><span></span></span><!--[if supportFields]&gt;<span></span><span></span>&lt;![endif]&#8211;><span> Advantages and disadvantages of the retrospective pre-test model</span></p>
<table class="MsoNormalTable" style="border: medium none" border="1" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td style="padding: 0cm 5.4pt;width: 213.2pt;color:windowtext -moz-use-text-color" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><b><span style="font-family:&#038;quot">Advantages</span></b></p>
</td>
<td style="padding: 0cm 5.4pt;width: 213.25pt;color:windowtext -moz-use-text-color" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><b><span style="font-family:&#038;quot">Disadvantages</span></b></p>
</td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.2pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot">Simple   and cost-effective</span></p>
</td>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.25pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot">Possibility   that results were due to history in the job or organisation</span></p>
</td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.2pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot">Reduces   costs and time for data collection and analysis</span></p>
</td>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.25pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot">Possible   distortions in retrospective reports because of response shift bias</span></p>
</td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.2pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot">Gathers   data as part of the learning intervention</span></p>
</td>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.25pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot"> </span></p>
<p></td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.2pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot">Compares   post-intervention data with retrospective pre-data</span></p>
</td>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.25pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot"> </span></p>
<p></td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.2pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot">Avoids   attrition from the sample being measured </span></p>
</td>
<td style="border: medium none;padding: 0cm 5.4pt;width: 213.25pt" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot"> </span></p>
<p></td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 213.2pt;color:-moz-use-text-color -moz-use-text-color windowtext" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot">Decreases   likelihood of testing effects</span></p>
</td>
<td style="padding: 0cm 5.4pt;width: 213.25pt;color:-moz-use-text-color -moz-use-text-color windowtext" valign="top" width="355">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm"><span style="font-family:&#038;quot"> </span></p>
<p></td>
</tr>
</tbody>
</table>
<p class="MsoNormal" style="margin-right: -7.4pt;text-align: justify"><span style="font-family:&#038;quot"> &#8211;</span></p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/04/03/assessing-learning-programs-advantages-and-disadvantages-of-the-pre-test-design-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Assessing learning programs: advantages and disadvantages of the pre-test design</title>
		<link>http://elearningcurve.edublogs.org/2008/04/03/assessing-learning-programs-advantages-and-disadvantages-of-the-pre-test-design/</link>
		<comments>http://elearningcurve.edublogs.org/2008/04/03/assessing-learning-programs-advantages-and-disadvantages-of-the-pre-test-design/#comments</comments>
		<pubDate>Thu, 03 Apr 2008 09:18:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[Pretest design]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[evaluate]]></category>
		<category><![CDATA[evaluate learning]]></category>
		<category><![CDATA[learning outcomes]]></category>
		<category><![CDATA[measurement]]></category>
		<category><![CDATA[metrics]]></category>
		<category><![CDATA[research methodologies]]></category>
		<category><![CDATA[research methods]]></category>
		<category><![CDATA[training evaluation model]]></category>
		<category><![CDATA[triangulation]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/04/03/assessing-learning-programs-advantages-and-disadvantages-of-the-pre-test-design/</guid>
		<description><![CDATA[When choosing to integrate the retrospective pre-test design method into your learning program evaluation and measurement methodology, the selection must take place in the after very carefully evaluating arguments both for and against its utility. The method has many advantages for the practitioner-researcher (see Table 1) but one must be cognisant of the threats to [...]]]></description>
			<content:encoded><![CDATA[<p>When choosing to integrate the retrospective pre-test design method into your learning program evaluation and measurement methodology, the selection must take place in the after very carefully evaluating arguments both for and against its utility. The method has many advantages for the practitioner-researcher (see Table 1) but one must be cognisant of the threats to validity. However, in the context of the case study method, triangulation of data from other sources (questionnaires, surveys, quantitative analysis of access logs, LMS records, summative assessments and so on) can be used to counteract or balance such threats.</p>
</p>
<p><a name="_Toc166850003">Table </a><!--[if supportFields]&gt; STYLEREF 1 \s &lt;![endif]-->1<!--[if supportFields]&gt;&lt;![endif]--> Advantages and disadvantages of the retrospective pre-test model</p>
<table border="1" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td valign="top" width="355">
<p><b>Advantages</b></p>
</td>
<td valign="top" width="355">
<p><b>Disadvantages</b></p>
</td>
</tr>
<tr>
<td valign="top" width="355">
<p>Simple   and cost-effective</p>
</td>
<td valign="top" width="355">
<p>Possibility   that results were due to history in the job or organisation</p>
</td>
</tr>
<tr>
<td valign="top" width="355">
<p>Reduces   costs and time for data collection and analysis</p>
</td>
<td valign="top" width="355">
<p>Possible   distortions in retrospective reports because of response shift bias</p>
</td>
</tr>
<tr>
<td valign="top" width="355">
<p>Gathers   data as part of the learning intervention</p>
</td>
<td valign="top" width="355">
<p></td>
</tr>
<tr>
<td valign="top" width="355">
<p>Compares   post-intervention data with retrospective pre-data</p>
</td>
<td valign="top" width="355">
<p></td>
</tr>
<tr>
<td valign="top" width="355">
<p>Avoids   attrition from the sample being measured </p>
</td>
<td valign="top" width="355">
<p></td>
</tr>
<tr>
<td valign="top" width="355">
<p>Decreases   likelihood of testing effects</p>
</td>
<td valign="top" width="355">
<p></td>
</tr>
</tbody>
</table>
<p> &#8211;</p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/04/03/assessing-learning-programs-advantages-and-disadvantages-of-the-pre-test-design/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Evaluating learning initatives: the Retrospective Pretest Design</title>
		<link>http://elearningcurve.edublogs.org/2008/04/02/evaluating-learning-initatives-the-retrospective-pretest-design-2/</link>
		<comments>http://elearningcurve.edublogs.org/2008/04/02/evaluating-learning-initatives-the-retrospective-pretest-design-2/#comments</comments>
		<pubDate>Wed, 02 Apr 2008 10:07:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[Pretest design]]></category>
		<category><![CDATA[assessment]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[evaluate learning]]></category>
		<category><![CDATA[learning outcomes]]></category>
		<category><![CDATA[non-formal learning]]></category>
		<category><![CDATA[research methodologies]]></category>
		<category><![CDATA[research methods]]></category>
		<category><![CDATA[training evaluation model]]></category>
		<category><![CDATA[triangulation]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/04/02/evaluating-learning-initatives-the-retrospective-pretest-design-2/</guid>
		<description><![CDATA[The Retrospective Pre-test method is an interesting if controversial data collection design. I will examine its advantages and negative aspects here, as well as an argument for including this strategy in in assessing organisational learning initiatives. The retrospective pre-test method (see Table 1 is an extension of the one-shot case study design where data are [...]]]></description>
			<content:encoded><![CDATA[<p>The Retrospective Pre-test method is an interesting if controversial data collection design. I will examine its advantages and negative aspects here, as well as an argument for including this strategy in in assessing organisational learning initiatives. The retrospective pre-test method (see Table 1 is an extension of the one-shot case study design where data are gathered from participants following the learning intervention (for example, a series of non-formal Information Sessions).</p>
<p>Table 1 Retrospective Pre-test Design</p>
<table class="MsoNormalTable" style="border: medium none" border="1" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td colspan="6" style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><b><span>Retrospective   Pre-test Design</span></b></p>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 108.7pt" valign="top" width="181">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><b><span>Groups</span></b></p>
</td>
<td style="padding: 0cm 5.4pt;width: 59.9pt" valign="top" width="100">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><b><span> </span></b></p>
<p></td>
<td style="padding: 0cm 5.4pt;width: 85.5pt" valign="top" width="143">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><b><span>Non-equivalent</span></b></p>
</td>
<td style="padding: 0cm 5.4pt;width: 86.2pt" valign="top" width="144">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><b><span>Intervention</span></b></p>
</td>
<td colspan="2" style="padding: 0cm 5.4pt;width: 86.15pt" valign="top" width="144">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><b><span>Observation</span></b></p>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 108.7pt" valign="top" width="181">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>Locally-based</span></p>
</td>
<td style="padding: 0cm 5.4pt;width: 59.9pt" valign="top" width="100">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span> </span></p>
<p></td>
<td style="padding: 0cm 5.4pt;width: 85.5pt" valign="top" width="143">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>N</span></p>
</td>
<td style="padding: 0cm 5.4pt;width: 86.2pt" valign="top" width="144">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>X</span></p>
</td>
<td style="padding: 0cm 5.4pt;width: 43.05pt" valign="top" width="72">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>O<sub>1</sub></span></p>
</td>
<td style="padding: 0cm 5.4pt;width: 43.1pt" valign="top" width="72">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>O<sub>2</sub></span></p>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 108.7pt" valign="top" width="181">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>Remotely-based</span></p>
</td>
<td style="padding: 0cm 5.4pt;width: 59.9pt" valign="top" width="100">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span> </span></p>
<p></td>
<td style="padding: 0cm 5.4pt;width: 85.5pt" valign="top" width="143">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>N</span></p>
</td>
<td style="padding: 0cm 5.4pt;width: 86.2pt" valign="top" width="144">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>X</span></p>
</td>
<td style="padding: 0cm 5.4pt;width: 43.05pt" valign="top" width="72">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>O<sub>1</sub></span></p>
</td>
<td style="padding: 0cm 5.4pt;width: 43.1pt" valign="top" width="72">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: justify"><span>O<sub>2</sub></span></p>
</td>
</tr>
<tr>
<td colspan="6" style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin: 0cm -7.4pt 6pt 0cm;text-align: center" align="center"><span><span>&lt;-</span></span><span></span><b><span> Time </span></b><span>-&gt;</span><b><span><span></span></span></b><b><span></span></b></p>
</td>
</tr>
</tbody>
</table>
<p>However, participants (N) report on their knowledge, understanding or skills (Observation O1) after the intervention (X), and then also reflect and answer (O2) what they believe their understanding or skill was before the intervention. Rockwell &amp; Kohn (1989) applied this method to testing the effectiveness of achieving program outcomes when interventions such as training programs are implemented and concluded that “using a post-then-pre design [retrospective pre-test] to identify self-reported behavioural changes can provide substantial evidence for program impact”. The retrospective pre-test enables researchers to reduce the response shift bias &#8211; defined by Klatt &amp; Taylor-Powell in their 2005 paper <u>Synthesis of Literature relative to Retrospective Pretest Design</u> as<br />
<blockquote>the change in the participant’s metric for answering questions from the pre-test to the post-test due to a new understanding of a concept being taught</p></blockquote>
<p> &#8211; because the participants are able to give pre-test responses which are based on a post-intervention frame of reference.</p>
<p>Using the retrospective pre-test, response shift bias can be reduced increasing the likelihood that the observable results are due to intended intervention effects (Pratt, McGuigan &amp; Katzev, 2001). This proposition is complicated and not without its critics – Theodore Lamb (2005), an advocate of the retrospective pre-test method, describes it as “an imperfect but useful tool.” Robson (2002, p.139-141) expresses concerns that used purely as a quasi-experimental method, this strategy could lead to an internal validity threat through regression to the mean.</p>
<p><span style="font-weight: bold">References:</span></p>
<p>Klatt, J. and Taylor-Powell, E. (2005) Synthesis of Literature relative to RetrospectivePretest Design. Presentation to the 2005 Joint CES/AEA Conference, Toronto [Internet] Available from: <a href="http://www.citra.org/Assets/documents/evaluation%20design.pdf">http://www.citra.org/Assets/documents/evaluation%20design.pdf</a> [Accessed 5th August 2007]</p>
<p class="MsoFootnoteText" style="margin-bottom: 14.4pt"><span>Lamb, T. (2005) The Retrospective Pretest: An Imperfect but Useful Tool. <i>Evaluation Exchange</i>. [Internet] 11(2). Available from: <a href="http://www.gse.harvard.edu/hfrp/eval/issue30/spotlight.html">http://www.gse.harvard.edu/hfrp/eval/issue30/spotlight.html</a> [Accessed 21st March 2007]</span></p>
<p>Pratt, C.C., McGuigan, W.M., &amp; Katzev, A.R. (2000). Measuring program outcomes: Using retrospective pretest methodology. <span style="font-style: italic">American Journal of Evaluation</span>, 21(3). 341-349.
<p class="MsoFootnoteText" style="margin-bottom: 14.4pt"></p>
<p class="MsoNormal" style="margin: 0cm -7.4pt 14.4pt 0cm"><span>Robson, C. (2002) <i>Real World Research</i>. 2nd ed. Oxford: Blackwell Publishing. </span></p>
<p class="MsoFootnoteText" style="margin-bottom: 14.4pt"><span>Rockwell, S. K. &amp; Kohn, H. (1989) Post-Then-Pre Evaluation. <i>Journal of Extension.</i> [Internet] 27(2). Available from: <a href="http://www.joe.org/joe/1989summer/a5.html">http://www.joe.org/joe/1989summer/a5.html</a> [Accessed 21st March 2007]</span></p>
<p class="MsoFootnoteText" style="margin-bottom: 14.4pt">&#8211;<br /><span></span></p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/04/02/evaluating-learning-initatives-the-retrospective-pretest-design-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Evaluating learning initatives: the Retrospective Pretest Design</title>
		<link>http://elearningcurve.edublogs.org/2008/04/02/evaluating-learning-initatives-the-retrospective-pretest-design/</link>
		<comments>http://elearningcurve.edublogs.org/2008/04/02/evaluating-learning-initatives-the-retrospective-pretest-design/#comments</comments>
		<pubDate>Wed, 02 Apr 2008 10:07:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[Pretest design]]></category>
		<category><![CDATA[assessment]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[evaluate learning]]></category>
		<category><![CDATA[learning outcomes]]></category>
		<category><![CDATA[non-formal learning]]></category>
		<category><![CDATA[research methodologies]]></category>
		<category><![CDATA[research methods]]></category>
		<category><![CDATA[training evaluation model]]></category>
		<category><![CDATA[triangulation]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/04/02/evaluating-learning-initatives-the-retrospective-pretest-design/</guid>
		<description><![CDATA[The Retrospective Pre-test method is an interesting if controversial data collection design. I will examine its advantages and negative aspects here, as well as an argument for including this strategy in in assessing organisational learning initiatives. The retrospective pre-test method (see Table 1 is an extension of the one-shot case study design where data are [...]]]></description>
			<content:encoded><![CDATA[<p>The Retrospective Pre-test method is an interesting if controversial data collection design. I will examine its advantages and negative aspects here, as well as an argument for including this strategy in in assessing organisational learning initiatives. The retrospective pre-test method (see Table 1 is an extension of the one-shot case study design where data are gathered from participants following the learning intervention (for example, a series of non-formal Information Sessions).</p>
<p>Table 1 Retrospective Pre-test Design</p>
<table border="1" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td colspan="6" valign="top" width="711">
<p><b>Retrospective   Pre-test Design</b></p>
</td>
</tr>
<tr>
<td valign="top" width="181">
<p><b>Groups</b></p>
</td>
<td valign="top" width="100">
<p><b> </b></p>
<p></td>
<td valign="top" width="143">
<p><b>Non-equivalent</b></p>
</td>
<td valign="top" width="144">
<p><b>Intervention</b></p>
</td>
<td colspan="2" valign="top" width="144">
<p><b>Observation</b></p>
</td>
</tr>
<tr>
<td valign="top" width="181">
<p>Locally-based</p>
</td>
<td valign="top" width="100">
<p></td>
<td valign="top" width="143">
<p>N</p>
</td>
<td valign="top" width="144">
<p>X</p>
</td>
<td valign="top" width="72">
<p>O<sub>1</sub></p>
</td>
<td valign="top" width="72">
<p>O<sub>2</sub></p>
</td>
</tr>
<tr>
<td valign="top" width="181">
<p>Remotely-based</p>
</td>
<td valign="top" width="100">
<p></td>
<td valign="top" width="143">
<p>N</p>
</td>
<td valign="top" width="144">
<p>X</p>
</td>
<td valign="top" width="72">
<p>O<sub>1</sub></p>
</td>
<td valign="top" width="72">
<p>O<sub>2</sub></p>
</td>
</tr>
<tr>
<td colspan="6" valign="top" width="711">
<p align="center">&lt;-<b> Time </b>-&gt;<b></b><b></b></p>
</td>
</tr>
</tbody>
</table>
<p>However, participants (N) report on their knowledge, understanding or skills (Observation O1) after the intervention (X), and then also reflect and answer (O2) what they believe their understanding or skill was before the intervention. Rockwell &amp; Kohn (1989) applied this method to testing the effectiveness of achieving program outcomes when interventions such as training programs are implemented and concluded that “using a post-then-pre design [retrospective pre-test] to identify self-reported behavioural changes can provide substantial evidence for program impact”. The retrospective pre-test enables researchers to reduce the response shift bias &#8211; defined by Klatt &amp; Taylor-Powell in their 2005 paper <u>Synthesis of Literature relative to Retrospective Pretest Design</u> as<br />
<blockquote>the change in the participant’s metric for answering questions from the pre-test to the post-test due to a new understanding of a concept being taught</p></blockquote>
<p> &#8211; because the participants are able to give pre-test responses which are based on a post-intervention frame of reference.</p>
<p>Using the retrospective pre-test, response shift bias can be reduced increasing the likelihood that the observable results are due to intended intervention effects (Pratt, McGuigan &amp; Katzev, 2001). This proposition is complicated and not without its critics – Theodore Lamb (2005), an advocate of the retrospective pre-test method, describes it as “an imperfect but useful tool.” Robson (2002, p.139-141) expresses concerns that used purely as a quasi-experimental method, this strategy could lead to an internal validity threat through regression to the mean.</p>
<p>References:</p>
<p>Klatt, J. and Taylor-Powell, E. (2005) Synthesis of Literature relative to RetrospectivePretest Design. Presentation to the 2005 Joint CES/AEA Conference, Toronto [Internet] Available from: <a href="http://www.citra.org/Assets/documents/evaluation%20design.pdf">http://www.citra.org/Assets/documents/evaluation%20design.pdf</a> [Accessed 5th August 2007]</p>
<p>Lamb, T. (2005) The Retrospective Pretest: An Imperfect but Useful Tool. <i>Evaluation Exchange</i>. [Internet] 11(2). Available from: <a href="http://www.gse.harvard.edu/hfrp/eval/issue30/spotlight.html">http://www.gse.harvard.edu/hfrp/eval/issue30/spotlight.html</a> [Accessed 21st March 2007]</p>
<p>Pratt, C.C., McGuigan, W.M., &amp; Katzev, A.R. (2000). Measuring program outcomes: Using retrospective pretest methodology. American Journal of Evaluation, 21(3). 341-349.
</p>
<p>Robson, C. (2002) <i>Real World Research</i>. 2nd ed. Oxford: Blackwell Publishing. </p>
<p>Rockwell, S. K. &amp; Kohn, H. (1989) Post-Then-Pre Evaluation. <i>Journal of Extension.</i> [Internet] 27(2). Available from: <a href="http://www.joe.org/joe/1989summer/a5.html">http://www.joe.org/joe/1989summer/a5.html</a> [Accessed 21st March 2007]</p>
<p>&#8211;</p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/04/02/evaluating-learning-initatives-the-retrospective-pretest-design/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Evaluating Non-formal e-learning initatives: Case Study Techniques</title>
		<link>http://elearningcurve.edublogs.org/2008/04/01/evaluating-non-formal-e-learning-initatives-case-study-techniques-2/</link>
		<comments>http://elearningcurve.edublogs.org/2008/04/01/evaluating-non-formal-e-learning-initatives-case-study-techniques-2/#comments</comments>
		<pubDate>Tue, 01 Apr 2008 10:24:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[assessment]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[evaluate learning]]></category>
		<category><![CDATA[learning outcomes]]></category>
		<category><![CDATA[non-formal learning]]></category>
		<category><![CDATA[research methodologies]]></category>
		<category><![CDATA[research methods]]></category>
		<category><![CDATA[training evaluation model]]></category>
		<category><![CDATA[triangulation]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/04/01/evaluating-non-formal-e-learning-initatives-case-study-techniques-2/</guid>
		<description><![CDATA[As I asserted in a previous post, case studies allow naturalistic methods of enquiry such as individual interviews to be carried out, side-by-side with quantitative data gathering from surveys, archival records, server access logs and so on.
Interestingly in discussing the flexibility of the case study design, Yin (1994, p.285) contends that in the future, researchers [...]]]></description>
			<content:encoded><![CDATA[<p class="MsoNormal" style="text-align: left"><span>As I asserted in a previous post, case studies allow naturalistic methods of enquiry such as individual interviews to be carried out, side-by-side with quantitative data gathering from surveys, archival records, server access logs and so on.</span></p>
<p class="MsoNormal" style="text-align: left"><span>Interestingly in discussing the flexibility of the case study design, Yin (1994, p.285) contends that in the future, researchers will focus not on the case study method, but rather on the specifi case study data collection techniques (see Table</span><span class="MsoCommentReference"><span style="font-size:8"> </span></span><span>1) and we will increasingly see these techniques used in other “non-case study” forms of research.</span></p>
<p class="MsoNormal" style="text-align: left"><span> </span></p>
<p class="TableCaption"><a name="_Toc166850001">Table </a><!--[if supportFields]&gt;<span></span><span></span><span><span> </span>STYLEREF 1 \s <span></span></span>&lt;![endif]&#8211;><span><span>1</span></span><span> Case Study Techniques</span></p>
<table class="MsoNormalTable" border="0" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin-bottom: 6pt;text-align: justify"><b><span>Case   Study Techniques</span></b></p>
</td>
</tr>
<tr>
<td style="border: medium none;padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin-bottom: 6pt;text-align: justify"><span>The use of multiple   sources of evidence, in a converging manner</span></p>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin-bottom: 6pt;text-align: justify"><span>The explicit specification   and testing of hypotheses and rival hypotheses, especially in lieu of control   or comparison groups</span></p>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin-bottom: 6pt;text-align: justify"><span>The dominance of deductive   strategies, whereby research starts with theorizing </span></p>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin-bottom: 6pt;text-align: justify"><span>Program logic models as a   standard way of initiating a program evaluation</span></p>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin-bottom: 6pt;text-align: justify"><span>Pattern-matching as a   common strategy for data analysis</span></p>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin-bottom: 6pt;text-align: justify"><span>Portfolio analysis, using   qualitative criteria to differentially weigh the outcomes from a project or   the projects within a program</span></p>
</td>
</tr>
<tr>
<td style="padding: 0cm 5.4pt;width: 426.45pt" valign="top" width="711">
<p class="MsoNormal" style="margin-bottom: 6pt;text-align: justify"><span>The use of replication   logic, rather than aggregating data, when comparing the results from multiple   sites or cases.</span></p>
</td>
</tr>
</tbody>
</table>
<p class="MsoNormal" style="text-align: justify"><span> </span></p>
<p class="MsoNormal" style="text-align: justify"><span><br /></span></p>
<p class="MsoNormal" style="text-align: justify"><span>This approach of modularising (to coin a term) the methodologies used in a case study may potentially enable future researchers to generalise from results attained through a case study approach to a broader context: this concept is outside the scope of this blog, but is something in my view that would have benefits in future social sciences research and evaluation of learning initiatives.</span></p>
<p class="MsoNormal" style="text-align: justify;font-weight: bold">References:</p>
<p class="MsoNormal" style="text-align: left"><span>Yin, R. K. (1994). Discovering the future of the case study method in evaluation research. <i>Evaluation Practice</i> [Internet] 15. Available from: <a href="http://aje.sagepub.com/cgi/reprint/15/3/283">http://aje.sagepub.com/cgi/reprint/15/3/283</a> [Accessed 15th January 2008 subscription required]</span></p>
<p class="MsoNormal" style="text-align: justify"><span>&#8211;<br /></span></p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/04/01/evaluating-non-formal-e-learning-initatives-case-study-techniques-2/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
		<item>
		<title>Evaluating Non-formal e-learning initatives: Case Study Techniques</title>
		<link>http://elearningcurve.edublogs.org/2008/04/01/evaluating-non-formal-e-learning-initatives-case-study-techniques/</link>
		<comments>http://elearningcurve.edublogs.org/2008/04/01/evaluating-non-formal-e-learning-initatives-case-study-techniques/#comments</comments>
		<pubDate>Tue, 01 Apr 2008 10:24:00 +0000</pubDate>
		<dc:creator>Michael Hanley</dc:creator>
				<category><![CDATA[assessment]]></category>
		<category><![CDATA[case study]]></category>
		<category><![CDATA[e-learning]]></category>
		<category><![CDATA[evaluate learning]]></category>
		<category><![CDATA[learning outcomes]]></category>
		<category><![CDATA[non-formal learning]]></category>
		<category><![CDATA[research methodologies]]></category>
		<category><![CDATA[research methods]]></category>
		<category><![CDATA[training evaluation model]]></category>
		<category><![CDATA[triangulation]]></category>

		<guid isPermaLink="false">http://elearningcurve.edublogs.org/2008/04/01/evaluating-non-formal-e-learning-initatives-case-study-techniques/</guid>
		<description><![CDATA[As I asserted in a previous post, case studies allow naturalistic methods of enquiry such as individual interviews to be carried out, side-by-side with quantitative data gathering from surveys, archival records, server access logs and so on.
Interestingly in discussing the flexibility of the case study design, Yin (1994, p.285) contends that in the future, researchers [...]]]></description>
			<content:encoded><![CDATA[<p>As I asserted in a previous post, case studies allow naturalistic methods of enquiry such as individual interviews to be carried out, side-by-side with quantitative data gathering from surveys, archival records, server access logs and so on.</p>
<p>Interestingly in discussing the flexibility of the case study design, Yin (1994, p.285) contends that in the future, researchers will focus not on the case study method, but rather on the specifi case study data collection techniques (see Table 1) and we will increasingly see these techniques used in other “non-case study” forms of research.</p>
<p> </p>
<p><a name="_Toc166850001">Table </a><!--[if supportFields]&gt; STYLEREF 1 \s &lt;![endif]-->1 Case Study Techniques</p>
<table border="0" cellpadding="0" cellspacing="0">
<tbody>
<tr>
<td valign="top" width="711">
<p><b>Case   Study Techniques</b></p>
</td>
</tr>
<tr>
<td valign="top" width="711">
<p>The use of multiple   sources of evidence, in a converging manner</p>
</td>
</tr>
<tr>
<td valign="top" width="711">
<p>The explicit specification   and testing of hypotheses and rival hypotheses, especially in lieu of control   or comparison groups</p>
</td>
</tr>
<tr>
<td valign="top" width="711">
<p>The dominance of deductive   strategies, whereby research starts with theorizing </p>
</td>
</tr>
<tr>
<td valign="top" width="711">
<p>Program logic models as a   standard way of initiating a program evaluation</p>
</td>
</tr>
<tr>
<td valign="top" width="711">
<p>Pattern-matching as a   common strategy for data analysis</p>
</td>
</tr>
<tr>
<td valign="top" width="711">
<p>Portfolio analysis, using   qualitative criteria to differentially weigh the outcomes from a project or   the projects within a program</p>
</td>
</tr>
<tr>
<td valign="top" width="711">
<p>The use of replication   logic, rather than aggregating data, when comparing the results from multiple   sites or cases.</p>
</td>
</tr>
</tbody>
</table>
<p></p>
<p>This approach of modularising (to coin a term) the methodologies used in a case study may potentially enable future researchers to generalise from results attained through a case study approach to a broader context: this concept is outside the scope of this blog, but is something in my view that would have benefits in future social sciences research and evaluation of learning initiatives.</p>
<p>References:</p>
<p>Yin, R. K. (1994). Discovering the future of the case study method in evaluation research. <i>Evaluation Practice</i> [Internet] 15. Available from: <a href="http://aje.sagepub.com/cgi/reprint/15/3/283">http://aje.sagepub.com/cgi/reprint/15/3/283</a> [Accessed 15th January 2008 subscription required]</p>
<p>&#8211;</p>
]]></content:encoded>
			<wfw:commentRss>http://elearningcurve.edublogs.org/2008/04/01/evaluating-non-formal-e-learning-initatives-case-study-techniques/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
