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	<title>Comments on: Roy Morgan</title>
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		<title>By: Roy Morgan at thestandard.org.nz</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-30686</link>
		<dc:creator>Roy Morgan at thestandard.org.nz</dc:creator>
		<pubDate>Wed, 23 Apr 2008 22:11:18 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-30686</guid>
		<description>[...] but Gary Morgan&#8217;s hilariously bad political analysis continues. You&#8217;ll remember in the last Morgan poll our man Gary put the thirty percent increase in the Greens&#8217; support down to Earth Hour, and [...]</description>
		<content:encoded><![CDATA[<p>[...] but Gary Morgan&#8217;s hilariously bad political analysis continues. You&#8217;ll remember in the last Morgan poll our man Gary put the thirty percent increase in the Greens&#8217; support down to Earth Hour, and [...]</p>
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		<title>By: steve black</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28512</link>
		<dc:creator>steve black</dc:creator>
		<pubDate>Tue, 15 Apr 2008 09:00:04 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28512</guid>
		<description>The Green results did not change statistically between the last two polls. Here are the confidence limits done with approximate (but much more accurate than the Roy Morgan table) estimates using the F distribution (Zar 2nd Ed 1984, p378)

previous poll 6.5% confidence limits 4.28% -- 8.88%
this poll 9% confidence limits 6.4% -- 12.1%

the confidence limits overlap between the two polls thus no change is seen at the 95% confidence level. This is based on an effective sample size of 400 (down from their 800 but I&#039;ve still been generous given the reductions due to all the differences between a &quot;simple random sample&quot; and what is actually done in the field).

Roy Morgan just offered an explanation for a non significant result. He&#039;s not the only one and I don&#039;t mean to single him out. Most of the changes in polling which are commented on are not significant. Could do better. 

David, you said &quot;we dont expect to see the green poll result to go from 3% to 9% because of sampling error&quot;. Perhaps not, but the Roy Morgan comment was based on Greens going from 6.5% to 9% and that&#039;s what I&#039;ve used in my analysis. I just don&#039;t see the point of spending the money on collecting the data and doing the analysis and not bothering to use the correct formulas. But then that&#039;s just me.  Bugger the pollsters. 

BTW, the percentage cutoff is generally 20% or 80% for using the kind of normal based approximation which accompanies the Roy Morgan report (Zar p379). That means every analysis for smaller parties should be based on a more accurate calculation of confidence limits.</description>
		<content:encoded><![CDATA[<p>The Green results did not change statistically between the last two polls. Here are the confidence limits done with approximate (but much more accurate than the Roy Morgan table) estimates using the F distribution (Zar 2nd Ed 1984, p378)</p>
<p>previous poll 6.5% confidence limits 4.28% &#8212; 8.88%<br />
this poll 9% confidence limits 6.4% &#8212; 12.1%</p>
<p>the confidence limits overlap between the two polls thus no change is seen at the 95% confidence level. This is based on an effective sample size of 400 (down from their 800 but I&#8217;ve still been generous given the reductions due to all the differences between a &#8220;simple random sample&#8221; and what is actually done in the field).</p>
<p>Roy Morgan just offered an explanation for a non significant result. He&#8217;s not the only one and I don&#8217;t mean to single him out. Most of the changes in polling which are commented on are not significant. Could do better. </p>
<p>David, you said &#8220;we dont expect to see the green poll result to go from 3% to 9% because of sampling error&#8221;. Perhaps not, but the Roy Morgan comment was based on Greens going from 6.5% to 9% and that&#8217;s what I&#8217;ve used in my analysis. I just don&#8217;t see the point of spending the money on collecting the data and doing the analysis and not bothering to use the correct formulas. But then that&#8217;s just me.  Bugger the pollsters. </p>
<p>BTW, the percentage cutoff is generally 20% or 80% for using the kind of normal based approximation which accompanies the Roy Morgan report (Zar p379). That means every analysis for smaller parties should be based on a more accurate calculation of confidence limits.</p>
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		<title>By: David</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28488</link>
		<dc:creator>David</dc:creator>
		<pubDate>Tue, 15 Apr 2008 06:00:59 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28488</guid>
		<description>I agree, Steve, but the main point is that the tables provided by the likes of Roy Morgan give a good estimate of the sample variance assuming a simple random sample and given that we are not talking about the extreme values (2% away from the boundaries seems ok).

The issues you raise about effective sample size are all important ones, but even if your rule of thumb is roughly accurate, we only see the error bars increasing by a factor of 1/sqrt 2. 

So here, we dont expect to see the green poll result to go from 3% to 9% because of sampling error.  The smaller party poll results at this time of the election cycle seem to be very volatile and could well relate to specific news events.  In some ways, polls at this time are irrelevant because we are not having an election tomorrow so people arent actually thinking about who they will vote for.</description>
		<content:encoded><![CDATA[<p>I agree, Steve, but the main point is that the tables provided by the likes of Roy Morgan give a good estimate of the sample variance assuming a simple random sample and given that we are not talking about the extreme values (2% away from the boundaries seems ok).</p>
<p>The issues you raise about effective sample size are all important ones, but even if your rule of thumb is roughly accurate, we only see the error bars increasing by a factor of 1/sqrt 2. </p>
<p>So here, we dont expect to see the green poll result to go from 3% to 9% because of sampling error.  The smaller party poll results at this time of the election cycle seem to be very volatile and could well relate to specific news events.  In some ways, polls at this time are irrelevant because we are not having an election tomorrow so people arent actually thinking about who they will vote for.</p>
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		<title>By: steve black</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28432</link>
		<dc:creator>steve black</dc:creator>
		<pubDate>Tue, 15 Apr 2008 03:19:07 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28432</guid>
		<description>um. that&#039;s supposed to be weighting BY certain demographic groups not weighting BE certain demographic groups. And yes, I do have a PhD and have worked in the survey biz (university and private research companies) from the late 70s to the early 00s. It&#039;s a jungle out there.</description>
		<content:encoded><![CDATA[<p>um. that&#8217;s supposed to be weighting BY certain demographic groups not weighting BE certain demographic groups. And yes, I do have a PhD and have worked in the survey biz (university and private research companies) from the late 70s to the early 00s. It&#8217;s a jungle out there.</p>
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		<title>By: Draco TB</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28431</link>
		<dc:creator>Draco TB</dc:creator>
		<pubDate>Tue, 15 Apr 2008 03:17:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28431</guid>
		<description>&lt;blockquote&gt;They have done their time and Kiwis with an extraordinary sense of fairness want the other team to have a turn at batting. &lt;/blockquote&gt;
Anybody who actually thinks like this is stupid.

&lt;blockquote&gt;And young Johnny is going to step up first and hit a maiden century on his debut.&lt;/blockquote&gt;
If he gets in I&#039;d say it would be the exact opposite. He&#039;s shown conclusively that he has no leadership capability, doesn&#039;t know his parties policies, doesn&#039;t seem to have even a basic grasp of economics or, more importantly IMO, psychology.

The only things he&#039;s shown that he can do is smile, flip flop and prevaricate. He doesn&#039;t do those very well either.</description>
		<content:encoded><![CDATA[<blockquote><p>They have done their time and Kiwis with an extraordinary sense of fairness want the other team to have a turn at batting. </p></blockquote>
<p>Anybody who actually thinks like this is stupid.</p>
<blockquote><p>And young Johnny is going to step up first and hit a maiden century on his debut.</p></blockquote>
<p>If he gets in I&#8217;d say it would be the exact opposite. He&#8217;s shown conclusively that he has no leadership capability, doesn&#8217;t know his parties policies, doesn&#8217;t seem to have even a basic grasp of economics or, more importantly IMO, psychology.</p>
<p>The only things he&#8217;s shown that he can do is smile, flip flop and prevaricate. He doesn&#8217;t do those very well either.</p>
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		<title>By: steve black</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28429</link>
		<dc:creator>steve black</dc:creator>
		<pubDate>Tue, 15 Apr 2008 03:05:17 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28429</guid>
		<description>Don&#039;t retract your comments about the uncertainty of Polls just yet. Do get your statistics correct. Yes the variance of the estimates is greatest at 50% and gets smaller as you move to the extremes (1 or 2%). But the exact binomial confidence limits at the extreme are poorly approximated by the tables research companies give. For starters, they aren&#039;t even symmetrical about the percentage. So it isn&#039;t (made up numbers here!) 4% plus or minus 5%. It is 4% with the confidence interval from 3 to 8%. I&#039;ve got an exact binomial confidence limit calculator around here somewhere. Next, the reported sampling errors (assuming perfect simple random sampling) are only a small coverage of the full set of errors involved. Last time I looked, Roy Morgan Research was better than others, but all could do better. Research companies routinely don&#039;t add sample frame bias, response bias, and non response bias into their estimations. Sample Frame bias arises when your sampling frame differs in some relevant way from the population you would like to sample from. If you want to predict an election the population you want to correctly represent is those who will vote. People who are at home and agree to answer telephone polls is a different group. I&#039;ve published research on the bias of using phone surveys versus face to face, but that was in 1990. Moblie phones have made it more complicated. If you don&#039;t reach everybody you want to interview (they refuse, or are never available when you call back) then your sample starts to drift from the age/sex/race/etc groups you should be getting. This drift is not random. Younger people are always hard to get. Instead of spending lots of dollars on higher numbers of callbacks, research companies use post hoc weighting be certain demographics to &quot;adjust&quot; the sample. They do this without taking into account that the &quot;adjustment&quot; comes at a cost (it decreases your effective sample size) when they report results. But it gets worse. Most companies use a technique called &quot;rim weighting&quot; which can lead to improved estimates or worse estimates depending on the correlation structure underlying the demographic weightings. The catch 22 is that when you use &quot;rim weighting&quot; it is because you don&#039;t have the full matrix and thus can&#039;t know the underlying correlation structure. You don&#039;t know when it helps and when it doesn&#039;t, and the added uncertainty due to weighting isn&#039;t usually calculated. More issues arise with non response. If 6.5% of people don&#039;t know which way they will vote (of the 90% of the sample who say they will vote...) then this all decreases the effective sample size. So 1000 respondents have now become...1000 * .9 * .935 = 841. And the list of factors continues. As a rule of thumb I tend to go for effective sample size being half of what the survey sample size is...but then of course the effective sample size varies from question to question. Note that if you are making comparisons from one time to another in the same survey (and the methodology hasn&#039;t been changed) then some of the design bias cancels out. However, there are still a number of factors which will lead to the true estimates for uncertainty being larger than reported. There, I feel better now.</description>
		<content:encoded><![CDATA[<p>Don&#8217;t retract your comments about the uncertainty of Polls just yet. Do get your statistics correct. Yes the variance of the estimates is greatest at 50% and gets smaller as you move to the extremes (1 or 2%). But the exact binomial confidence limits at the extreme are poorly approximated by the tables research companies give. For starters, they aren&#8217;t even symmetrical about the percentage. So it isn&#8217;t (made up numbers here!) 4% plus or minus 5%. It is 4% with the confidence interval from 3 to 8%. I&#8217;ve got an exact binomial confidence limit calculator around here somewhere. Next, the reported sampling errors (assuming perfect simple random sampling) are only a small coverage of the full set of errors involved. Last time I looked, Roy Morgan Research was better than others, but all could do better. Research companies routinely don&#8217;t add sample frame bias, response bias, and non response bias into their estimations. Sample Frame bias arises when your sampling frame differs in some relevant way from the population you would like to sample from. If you want to predict an election the population you want to correctly represent is those who will vote. People who are at home and agree to answer telephone polls is a different group. I&#8217;ve published research on the bias of using phone surveys versus face to face, but that was in 1990. Moblie phones have made it more complicated. If you don&#8217;t reach everybody you want to interview (they refuse, or are never available when you call back) then your sample starts to drift from the age/sex/race/etc groups you should be getting. This drift is not random. Younger people are always hard to get. Instead of spending lots of dollars on higher numbers of callbacks, research companies use post hoc weighting be certain demographics to &#8220;adjust&#8221; the sample. They do this without taking into account that the &#8220;adjustment&#8221; comes at a cost (it decreases your effective sample size) when they report results. But it gets worse. Most companies use a technique called &#8220;rim weighting&#8221; which can lead to improved estimates or worse estimates depending on the correlation structure underlying the demographic weightings. The catch 22 is that when you use &#8220;rim weighting&#8221; it is because you don&#8217;t have the full matrix and thus can&#8217;t know the underlying correlation structure. You don&#8217;t know when it helps and when it doesn&#8217;t, and the added uncertainty due to weighting isn&#8217;t usually calculated. More issues arise with non response. If 6.5% of people don&#8217;t know which way they will vote (of the 90% of the sample who say they will vote&#8230;) then this all decreases the effective sample size. So 1000 respondents have now become&#8230;1000 * .9 * .935 = 841. And the list of factors continues. As a rule of thumb I tend to go for effective sample size being half of what the survey sample size is&#8230;but then of course the effective sample size varies from question to question. Note that if you are making comparisons from one time to another in the same survey (and the methodology hasn&#8217;t been changed) then some of the design bias cancels out. However, there are still a number of factors which will lead to the true estimates for uncertainty being larger than reported. There, I feel better now.</p>
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		<title>By: r0b</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28400</link>
		<dc:creator>r0b</dc:creator>
		<pubDate>Tue, 15 Apr 2008 02:04:12 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28400</guid>
		<description>&lt;em&gt;  was wrong. David is right. I retract my comments about polls. &lt;/em&gt;

Bravo to you both for the discussion - very useful!</description>
		<content:encoded><![CDATA[<p><em>  was wrong. David is right. I retract my comments about polls. </em></p>
<p>Bravo to you both for the discussion &#8211; very useful!</p>
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		<title>By: Andrew Jull</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28390</link>
		<dc:creator>Andrew Jull</dc:creator>
		<pubDate>Tue, 15 Apr 2008 01:34:45 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28390</guid>
		<description>I was wrong. David is right. I retract my comments about polls.</description>
		<content:encoded><![CDATA[<p>I was wrong. David is right. I retract my comments about polls.</p>
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		<title>By: James</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28365</link>
		<dc:creator>James</dc:creator>
		<pubDate>Mon, 14 Apr 2008 23:59:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28365</guid>
		<description>Further to David&#039;s comment, Roy Morgan actually list the Margin of Error for a variety of percentages (down to 5%) for two different sample sizes. That actually makes them less misleading from average. You can therefore reasonable approximate the Margin of Error for the Greens, and see that it is quite a change.</description>
		<content:encoded><![CDATA[<p>Further to David&#8217;s comment, Roy Morgan actually list the Margin of Error for a variety of percentages (down to 5%) for two different sample sizes. That actually makes them less misleading from average. You can therefore reasonable approximate the Margin of Error for the Greens, and see that it is quite a change.</p>
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		<title>By: David</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28352</link>
		<dc:creator>David</dc:creator>
		<pubDate>Mon, 14 Apr 2008 23:34:20 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28352</guid>
		<description>Sorry second sentence above was incomplete, should be 

According to polling theory, the absolute estimates for small parties are more accurate, not less, in a random poll than for large parties.</description>
		<content:encoded><![CDATA[<p>Sorry second sentence above was incomplete, should be </p>
<p>According to polling theory, the absolute estimates for small parties are more accurate, not less, in a random poll than for large parties.</p>
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		<title>By: David</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28334</link>
		<dc:creator>David</dc:creator>
		<pubDate>Mon, 14 Apr 2008 22:49:14 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28334</guid>
		<description>I&#039;m not sure where Andrew Jull is getting all this.  According to polling theory, the absolute estimates for small parties are more accurate, not less, in a random poll.  The relative error might be large (doubling from 1% to 2% for a small party but we wouldnt see a large party going from 30% to 60%), but the absoulte error is smaller.  For example, In a large population, if we sample 1000 people the 95% confidence interval at 50% is (50-3.1,50 3.1)= (46.9%,53.1%) whereas at 2% the 95% confidence interval is (2-.87,2 .87) = (1.13%,2.87%).  A simple introduction to this stuff is available at http://www.surveysystem.com/sscalc.htm where there is also a nice little calculator.  Note that the theory behind binomial samples (two parties) and multinomial samples (multiparty) is almost identical.

So the variation we are seeing is not sampling variation - it probably shows greater awareness of a smaller party for some reason.  Around election times, the polling numbers for small parties fluctuates less as we see more of them and people are actually thinking about who they might vote for rather than responding to the latest political news.</description>
		<content:encoded><![CDATA[<p>I&#8217;m not sure where Andrew Jull is getting all this.  According to polling theory, the absolute estimates for small parties are more accurate, not less, in a random poll.  The relative error might be large (doubling from 1% to 2% for a small party but we wouldnt see a large party going from 30% to 60%), but the absoulte error is smaller.  For example, In a large population, if we sample 1000 people the 95% confidence interval at 50% is (50-3.1,50 3.1)= (46.9%,53.1%) whereas at 2% the 95% confidence interval is (2-.87,2 .87) = (1.13%,2.87%).  A simple introduction to this stuff is available at <a href="http://www.surveysystem.com/sscalc.htm" rel="nofollow">http://www.surveysystem.com/sscalc.htm</a> where there is also a nice little calculator.  Note that the theory behind binomial samples (two parties) and multinomial samples (multiparty) is almost identical.</p>
<p>So the variation we are seeing is not sampling variation &#8211; it probably shows greater awareness of a smaller party for some reason.  Around election times, the polling numbers for small parties fluctuates less as we see more of them and people are actually thinking about who they might vote for rather than responding to the latest political news.</p>
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		<title>By: Matthew Pilott</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28324</link>
		<dc:creator>Matthew Pilott</dc:creator>
		<pubDate>Mon, 14 Apr 2008 22:10:42 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28324</guid>
		<description>Andrew - I sense a guest post :)

Burt - do you read what you are saying?  You&#039;re saying Labour should do something (what - stand down, snap electon?  You haven&#039;t even articulated what they should be doing, yet you attack the &#039;apologists&#039; for its defence!) because they haven&#039;t got support over 50%, and that it is bad to justify Labour not doing whatever it is because National also didn&#039;t do this unarticulated act.  

What an odd line to pursue.

P.S didn&#039;t your mate Robert actually have a go at that back in the 80&#039;s?  Didn&#039;t work out that well, but then he was pretty drunk.

P.P.S burt - I see a twinkling of Socialism peeking through.  I&#039;m not sure you would see it, but I can&#039;t help but think that Liberal Representative Democracy isn&#039;t fulfilling its promise to you.  So, my friend, let me introduce you to its cousin, Socialist Participatory Democracy...</description>
		<content:encoded><![CDATA[<p>Andrew &#8211; I sense a guest post <img src='http://www.thestandard.org.nz/wp-includes/images/smilies/icon_smile.gif' alt=':)' class='wp-smiley' /> </p>
<p>Burt &#8211; do you read what you are saying?  You&#8217;re saying Labour should do something (what &#8211; stand down, snap electon?  You haven&#8217;t even articulated what they should be doing, yet you attack the &#8216;apologists&#8217; for its defence!) because they haven&#8217;t got support over 50%, and that it is bad to justify Labour not doing whatever it is because National also didn&#8217;t do this unarticulated act.  </p>
<p>What an odd line to pursue.</p>
<p>P.S didn&#8217;t your mate Robert actually have a go at that back in the 80&#8217;s?  Didn&#8217;t work out that well, but then he was pretty drunk.</p>
<p>P.P.S burt &#8211; I see a twinkling of Socialism peeking through.  I&#8217;m not sure you would see it, but I can&#8217;t help but think that Liberal Representative Democracy isn&#8217;t fulfilling its promise to you.  So, my friend, let me introduce you to its cousin, Socialist Participatory Democracy&#8230;</p>
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		<title>By: Andrew Jull</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28315</link>
		<dc:creator>Andrew Jull</dc:creator>
		<pubDate>Mon, 14 Apr 2008 21:19:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28315</guid>
		<description>AncientGeek comments that I am not pessimistic enough when it comes to accuracy of polls - when I get some time I will estimate the sample size for polls that want to test the smaller parties support at a 3% margin of error. 

AncientGeek then suggests that because the polls are based on landlines they are likely to over-represent some people and under-represent others. This comment is a reasonable one and it would certainly be interesting to test the results of a polls drawn from such a sample against those drawn from a sample that included people without landlines. But to correct AncientGeek (and only in the interests of precision), such a test would evaluate the external validity of the sampling technique not its internal validity. There is absolutely no doubt in my mind that the polls do currently use a random sampling technique and are thus internally valid (if the interpretation of the data is limited to those which the sampling techniques assumptions would support ie a two horse race). The question of how representative the polls are is a separate issue (ie external validity) and one that would be best assessed by a table that compared the sample to the NZ population on key characteristics (age, sex, income, education level etc). With that information at hand and a sample size that is driven by the small party support, one could usefully interpret party support in New Zealand and understand the limitations of the data.</description>
		<content:encoded><![CDATA[<p>AncientGeek comments that I am not pessimistic enough when it comes to accuracy of polls &#8211; when I get some time I will estimate the sample size for polls that want to test the smaller parties support at a 3% margin of error. </p>
<p>AncientGeek then suggests that because the polls are based on landlines they are likely to over-represent some people and under-represent others. This comment is a reasonable one and it would certainly be interesting to test the results of a polls drawn from such a sample against those drawn from a sample that included people without landlines. But to correct AncientGeek (and only in the interests of precision), such a test would evaluate the external validity of the sampling technique not its internal validity. There is absolutely no doubt in my mind that the polls do currently use a random sampling technique and are thus internally valid (if the interpretation of the data is limited to those which the sampling techniques assumptions would support ie a two horse race). The question of how representative the polls are is a separate issue (ie external validity) and one that would be best assessed by a table that compared the sample to the NZ population on key characteristics (age, sex, income, education level etc). With that information at hand and a sample size that is driven by the small party support, one could usefully interpret party support in New Zealand and understand the limitations of the data.</p>
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		<title>By: r0b</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28298</link>
		<dc:creator>r0b</dc:creator>
		<pubDate>Mon, 14 Apr 2008 20:30:29 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28298</guid>
		<description>OK Burt, if you want to seriously argue that any government registering less than 50% in public opinion polls should resign, then you carry on!  I think it&#039;s easily your best and most insightful contribution to the political debate so far.  You should write some letters to the editor about this exciting new theory Burt.  Maybe write a whole book?  You and Wishart could do one together.  Seriously Burt, I think you&#039;re really on to something here.  Go for it Burt!  Go!</description>
		<content:encoded><![CDATA[<p>OK Burt, if you want to seriously argue that any government registering less than 50% in public opinion polls should resign, then you carry on!  I think it&#8217;s easily your best and most insightful contribution to the political debate so far.  You should write some letters to the editor about this exciting new theory Burt.  Maybe write a whole book?  You and Wishart could do one together.  Seriously Burt, I think you&#8217;re really on to something here.  Go for it Burt!  Go!</p>
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		<title>By: burt</title>
		<link>http://www.thestandard.org.nz/roy-morgan-4/#comment-28297</link>
		<dc:creator>burt</dc:creator>
		<pubDate>Mon, 14 Apr 2008 20:24:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.thestandard.org.nz/?p=1654#comment-28297</guid>
		<description>The best defense that the Labour apologists can muster is - Others do it too. Classic - hands over ears shouting &quot;la la la la - I&#039;m not listening&quot;. 

rOb at least has the mental capacity to take the &quot;they did it too&quot; comparison off shore so that he&#039;s not looking like a &quot;Labour good - National bad&quot; muppet. AncientGeek (the brains trust) on the other hand uses the classic Labour defense of &quot;National do it to&quot;. 

Keep it up guys, keep supporting the party that thinks it&#039;s OK to break their own laws to combat their slump in the polls.</description>
		<content:encoded><![CDATA[<p>The best defense that the Labour apologists can muster is &#8211; Others do it too. Classic &#8211; hands over ears shouting &#8220;la la la la &#8211; I&#8217;m not listening&#8221;. </p>
<p>rOb at least has the mental capacity to take the &#8220;they did it too&#8221; comparison off shore so that he&#8217;s not looking like a &#8220;Labour good &#8211; National bad&#8221; muppet. AncientGeek (the brains trust) on the other hand uses the classic Labour defense of &#8220;National do it to&#8221;. </p>
<p>Keep it up guys, keep supporting the party that thinks it&#8217;s OK to break their own laws to combat their slump in the polls.</p>
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