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	<title>Comments for Metrics Geek</title>
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	<link>http://metricsgeek.com</link>
	<description>Because Everything is Measurable</description>
	<lastBuildDate>Tue, 24 Jul 2012 21:22:03 +0000</lastBuildDate>
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		<title>Comment on How Many Points Should be on a Likert Scale? by Bonnie</title>
		<link>http://metricsgeek.com/2012/01/podcast-2/comment-page-1/#comment-81</link>
		<dc:creator>Bonnie</dc:creator>
		<pubDate>Tue, 24 Jul 2012 21:22:03 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=206#comment-81</guid>
		<description>Actually, I don&#039;t group 3, 4, 5 together (one could argue that 1 and 2 should be together).  Though you do raise an interesting idea.  Typically, 6/7 would be happy news - keep on doing what you&#039;re doing (maybe promote it).  From a &quot;taking action&quot; point of view, you are right that 3 - 5 may trigger very similar actions, though I would hesitate to group a negative with a positive and say it averaged out to neutral ((3+5)/2 = 4).  Attention given to negative scores, in my experience, is different than that given to positive scores.  The former indicating something is wrong, the latter indicating fine tuning is in order.

Point-Counterpoint.  Your turn</description>
		<content:encoded><![CDATA[<p>Actually, I don&#8217;t group 3, 4, 5 together (one could argue that 1 and 2 should be together).  Though you do raise an interesting idea.  Typically, 6/7 would be happy news &#8211; keep on doing what you&#8217;re doing (maybe promote it).  From a &#8220;taking action&#8221; point of view, you are right that 3 &#8211; 5 may trigger very similar actions, though I would hesitate to group a negative with a positive and say it averaged out to neutral ((3+5)/2 = 4).  Attention given to negative scores, in my experience, is different than that given to positive scores.  The former indicating something is wrong, the latter indicating fine tuning is in order.</p>
<p>Point-Counterpoint.  Your turn</p>
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		<title>Comment on How Many Points Should be on a Likert Scale? by Geek</title>
		<link>http://metricsgeek.com/2012/01/podcast-2/comment-page-1/#comment-80</link>
		<dc:creator>Geek</dc:creator>
		<pubDate>Tue, 24 Jul 2012 19:10:12 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=206#comment-80</guid>
		<description>Yay for banter! Your point about accommodating those folks who never give the highest score (I&#039;m actually one of those folks and am happy to share my logic for that approach) is excellent and correct. If I, as a non-top-score-giver, was delighted instead of simply satisfied, a 7-point scale allows me to express that. 

That said, even though you&#039;re reporting 6s and 7s together (assuming also 3s, 4s and 5s together?), does the expanded scale provide you with insight that prescribes a different treatment? If not, then even though your high-schore-shy respondent was given greater freedom of expression, the 7-point scale doesn&#039;t seem to change the outcome does it? 

Although even as I type it, I wonder if greater freedom of expression for your respondents isn&#039;t plenty of justification?  

Let the banter continue!
~Geek~</description>
		<content:encoded><![CDATA[<p>Yay for banter! Your point about accommodating those folks who never give the highest score (I&#8217;m actually one of those folks and am happy to share my logic for that approach) is excellent and correct. If I, as a non-top-score-giver, was delighted instead of simply satisfied, a 7-point scale allows me to express that. </p>
<p>That said, even though you&#8217;re reporting 6s and 7s together (assuming also 3s, 4s and 5s together?), does the expanded scale provide you with insight that prescribes a different treatment? If not, then even though your high-schore-shy respondent was given greater freedom of expression, the 7-point scale doesn&#8217;t seem to change the outcome does it? </p>
<p>Although even as I type it, I wonder if greater freedom of expression for your respondents isn&#8217;t plenty of justification?  </p>
<p>Let the banter continue!<br />
~Geek~</p>
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		<title>Comment on How Many Points Should be on a Likert Scale? by Bonnie</title>
		<link>http://metricsgeek.com/2012/01/podcast-2/comment-page-1/#comment-79</link>
		<dc:creator>Bonnie</dc:creator>
		<pubDate>Tue, 24 Jul 2012 18:19:20 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=206#comment-79</guid>
		<description>Hi Geek - I&#039;d like to banter about 7 vs. 5. You make a good point about &quot;would your actions be different for an avg. of 6 vs. 7?&quot;  Probably not.  I believe the 7 pt scale actually removes bias.  Here&#039;s how:  some people will never give you a perfect score (never a 5, if a 5 pt scale).  So now, does a 4 mean it was great, but I just never give 5s, or does it mean it was slightly better than neutral?  The 7-pt scale lets these people express themselves, and now I know the difference between neutral and excellent.  So as not to trip over yourself in your analytics, we use &quot;top box&quot; which is % of respondents rating the item 6 or 7... in essence treating them the same (as far as &quot;action&quot; goes), but removing the &quot;bias&quot; of those stern graders.

My research shows 7 as the preferred scale.

Comments?</description>
		<content:encoded><![CDATA[<p>Hi Geek &#8211; I&#8217;d like to banter about 7 vs. 5. You make a good point about &#8220;would your actions be different for an avg. of 6 vs. 7?&#8221;  Probably not.  I believe the 7 pt scale actually removes bias.  Here&#8217;s how:  some people will never give you a perfect score (never a 5, if a 5 pt scale).  So now, does a 4 mean it was great, but I just never give 5s, or does it mean it was slightly better than neutral?  The 7-pt scale lets these people express themselves, and now I know the difference between neutral and excellent.  So as not to trip over yourself in your analytics, we use &#8220;top box&#8221; which is % of respondents rating the item 6 or 7&#8230; in essence treating them the same (as far as &#8220;action&#8221; goes), but removing the &#8220;bias&#8221; of those stern graders.</p>
<p>My research shows 7 as the preferred scale.</p>
<p>Comments?</p>
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		<title>Comment on Speak With Facts by Geek</title>
		<link>http://metricsgeek.com/2009/09/speak-with-facts/comment-page-1/#comment-22</link>
		<dc:creator>Geek</dc:creator>
		<pubDate>Wed, 14 Oct 2009 19:14:54 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=52#comment-22</guid>
		<description>Thanks Laura!
Thought of in Gladwell&#039;s company is no small compliment, and clearly I need to check out Lehrer.  I think the achievement of the zen state of internalizing data is to recognize that we&#039;re already IN that state and simply to let it flow. Ohhhmmmm.....
G</description>
		<content:encoded><![CDATA[<p>Thanks Laura!<br />
Thought of in Gladwell&#8217;s company is no small compliment, and clearly I need to check out Lehrer.  I think the achievement of the zen state of internalizing data is to recognize that we&#8217;re already IN that state and simply to let it flow. Ohhhmmmm&#8230;..<br />
G</p>
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		<title>Comment on Speak With Facts by Laura Walsh</title>
		<link>http://metricsgeek.com/2009/09/speak-with-facts/comment-page-1/#comment-21</link>
		<dc:creator>Laura Walsh</dc:creator>
		<pubDate>Wed, 14 Oct 2009 15:02:01 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=52#comment-21</guid>
		<description>Hi Geek-

To the contrary, this would make you very popular at my cocktail party!

Your ideas remind me of Malcolm Gladwell&#039;s book *Blink* and Jonah Lehrer&#039;s recent book, *How We Decide*.

Both argue that we are, in fact, processing lots of data in just milliseconds when we make decisions in the absence of &quot;measurable data&quot;. 

Lehrer takes the argument further by talking about the equally important roles our emotional and rational brain centers play in decision-making. This could explain why a decision sometimes just feels right, as you said.

Now, how can I achieve that zen state you were talking about? That sounds nice. ;-)</description>
		<content:encoded><![CDATA[<p>Hi Geek-</p>
<p>To the contrary, this would make you very popular at my cocktail party!</p>
<p>Your ideas remind me of Malcolm Gladwell&#8217;s book *Blink* and Jonah Lehrer&#8217;s recent book, *How We Decide*.</p>
<p>Both argue that we are, in fact, processing lots of data in just milliseconds when we make decisions in the absence of &#8220;measurable data&#8221;. </p>
<p>Lehrer takes the argument further by talking about the equally important roles our emotional and rational brain centers play in decision-making. This could explain why a decision sometimes just feels right, as you said.</p>
<p>Now, how can I achieve that zen state you were talking about? That sounds nice. <img src='http://metricsgeek.com/wp-includes/images/smilies/icon_wink.gif' alt=';-)' class='wp-smiley' /> </p>
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		<title>Comment on Your New Training Measurement Strategy by Geek</title>
		<link>http://metricsgeek.com/2009/09/your-new-training-measurement-strategy/comment-page-1/#comment-20</link>
		<dc:creator>Geek</dc:creator>
		<pubDate>Thu, 17 Sep 2009 20:40:21 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=67#comment-20</guid>
		<description>Not sure...it&#039;s ASTD Research Group SIG folks.</description>
		<content:encoded><![CDATA[<p>Not sure&#8230;it&#8217;s ASTD Research Group SIG folks.</p>
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		<title>Comment on Your New Training Measurement Strategy by msulliv</title>
		<link>http://metricsgeek.com/2009/09/your-new-training-measurement-strategy/comment-page-1/#comment-19</link>
		<dc:creator>msulliv</dc:creator>
		<pubDate>Thu, 17 Sep 2009 20:33:26 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=67#comment-19</guid>
		<description>Dear Geek, who&#039;s your audience for the preso? If it&#039;s a bunch of other measurement geeks, then maybe this is too obvious. If it&#039;s L&amp;D types coming for a &quot;101&quot; level preso, then you&#039;ve got a good start, given your always entertaining presentation personality, IMO.

A couple of other random but loosely related thoughts spurred by your post...

Some of this -- for example: “our measurement strategy is to determine how well we have designed and delivered an intervention to support a specific business process” -- sounds like a measurement &quot;tactic&quot; to me, rather than &quot;Measurement Strategy,&quot; with initial caps. &quot;We measure everything we do&quot; sounds philosophical. I think of strategy as occupying the middle ground between philosophy and tactic. Is the  gist of your talk really strategy? I&#039;m not just being rhetorical to be a pain -- i&#039;m struggling with the same issue on a &quot;strategy&quot; talk I have coming up too. What&#039;s the right level of detail for a &quot;strategy&quot;-level presentation??

Lastly, and this is probably another blog post altogether... Closely tied into the idea of what to measure is whether the solution (usually training) is in fact the correct solution to the business need. Often, training is the solution to an indirect problem: people need training on the software because the software is poorly designed; sales are down because the new product isn&#039;t competitive, not because the sale team needs training on how to close a deal. 

Now if you come up with a way to measure whether training is the right intervention to a business need, or whether the money would have been better spent elsewhere, then you&#039;ve got a talk that i&#039;d pay to hear!</description>
		<content:encoded><![CDATA[<p>Dear Geek, who&#8217;s your audience for the preso? If it&#8217;s a bunch of other measurement geeks, then maybe this is too obvious. If it&#8217;s L&amp;D types coming for a &#8220;101&#8243; level preso, then you&#8217;ve got a good start, given your always entertaining presentation personality, IMO.</p>
<p>A couple of other random but loosely related thoughts spurred by your post&#8230;</p>
<p>Some of this &#8212; for example: “our measurement strategy is to determine how well we have designed and delivered an intervention to support a specific business process” &#8212; sounds like a measurement &#8220;tactic&#8221; to me, rather than &#8220;Measurement Strategy,&#8221; with initial caps. &#8220;We measure everything we do&#8221; sounds philosophical. I think of strategy as occupying the middle ground between philosophy and tactic. Is the  gist of your talk really strategy? I&#8217;m not just being rhetorical to be a pain &#8212; i&#8217;m struggling with the same issue on a &#8220;strategy&#8221; talk I have coming up too. What&#8217;s the right level of detail for a &#8220;strategy&#8221;-level presentation??</p>
<p>Lastly, and this is probably another blog post altogether&#8230; Closely tied into the idea of what to measure is whether the solution (usually training) is in fact the correct solution to the business need. Often, training is the solution to an indirect problem: people need training on the software because the software is poorly designed; sales are down because the new product isn&#8217;t competitive, not because the sale team needs training on how to close a deal. </p>
<p>Now if you come up with a way to measure whether training is the right intervention to a business need, or whether the money would have been better spent elsewhere, then you&#8217;ve got a talk that i&#8217;d pay to hear!</p>
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		<title>Comment on Live life in the intersection by Glenn</title>
		<link>http://metricsgeek.com/2009/09/live-life-in-the-intersection/comment-page-1/#comment-18</link>
		<dc:creator>Glenn</dc:creator>
		<pubDate>Mon, 14 Sep 2009 17:41:12 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=60#comment-18</guid>
		<description>Greg, as usual, awesome. Often one of the larger issues in training is &quot;I need to measure stuff&quot;. Often (or at least, hopefully) the measurement strategy is seeking to confirm in some objective manner a result (or relative impact of said result) relative to its means (in our case, &quot;the training&quot;). Yet we often discover related, or even non-related, patterns of correlation- these patterns may often be more powerful, more actionable, and may even provide &#039;better&#039; and/or additional results than the initial results we were seeking in the measurement exercise. 

The key elements that I recommend for any measurement strategy are:
1. Get one- understand what you are seeking to prove, and why
2. It&#039;s not a yes/no question... data, and patterns in data, are powerful
3. Observe pattern, apply to &#039;why&#039; rather than just &#039;what&#039;
4. We&#039;re not in stats class, it&#039;s okay to be both inductive and deductive at the same time on the same data set</description>
		<content:encoded><![CDATA[<p>Greg, as usual, awesome. Often one of the larger issues in training is &#8220;I need to measure stuff&#8221;. Often (or at least, hopefully) the measurement strategy is seeking to confirm in some objective manner a result (or relative impact of said result) relative to its means (in our case, &#8220;the training&#8221;). Yet we often discover related, or even non-related, patterns of correlation- these patterns may often be more powerful, more actionable, and may even provide &#8216;better&#8217; and/or additional results than the initial results we were seeking in the measurement exercise. </p>
<p>The key elements that I recommend for any measurement strategy are:<br />
1. Get one- understand what you are seeking to prove, and why<br />
2. It&#8217;s not a yes/no question&#8230; data, and patterns in data, are powerful<br />
3. Observe pattern, apply to &#8216;why&#8217; rather than just &#8216;what&#8217;<br />
4. We&#8217;re not in stats class, it&#8217;s okay to be both inductive and deductive at the same time on the same data set</p>
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		<title>Comment on Get Your Pencil&#8230; by Dirty Laundry &#171; leveragelearningsolutions.com</title>
		<link>http://metricsgeek.com/2009/02/get-your-pencil/comment-page-1/#comment-17</link>
		<dc:creator>Dirty Laundry &#171; leveragelearningsolutions.com</dc:creator>
		<pubDate>Fri, 27 Mar 2009 21:37:10 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=28#comment-17</guid>
		<description>[...] the value of measurement and ROI, without any real tools or plans to define success, let alone to measure it. (And we wonder why we’re not at the table?) This comes, I think, largely from the makeup of the [...]</description>
		<content:encoded><![CDATA[<p>[...] the value of measurement and ROI, without any real tools or plans to define success, let alone to measure it. (And we wonder why we’re not at the table?) This comes, I think, largely from the makeup of the [...]</p>
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		<title>Comment on A Few Words About Dashboards by Geek</title>
		<link>http://metricsgeek.com/2009/02/a-few-words-about-dashboards/comment-page-1/#comment-16</link>
		<dc:creator>Geek</dc:creator>
		<pubDate>Thu, 26 Feb 2009 06:36:33 +0000</pubDate>
		<guid isPermaLink="false">http://metricsgeek.com/?p=36#comment-16</guid>
		<description>There is value in anything that makes the document a useful tool for driving the business forward. If looking at the data differently by dragging columns around (maybe because priorities change) makes it more useful, go for it.</description>
		<content:encoded><![CDATA[<p>There is value in anything that makes the document a useful tool for driving the business forward. If looking at the data differently by dragging columns around (maybe because priorities change) makes it more useful, go for it.</p>
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