Since my post on Sunday a number of new polls have come out. This post shows the results of the meta-analysis using the six polls whose results have come out since Sunday.
As before I'm taking the rounded percentage results data from the whatscotlandthinks.org website (I should really go back to the original poll data and get the actual numbers). Six polls have been reported since Sunday night, when the last meta-analysis was posted. Using their data (as extracted from whatscotlandthinks.org), the approximate numbers in the polls (excluding undecideds) and Yes's are as follows:
|Paper||Poll company||Poll start||Poll end||# exc. undecideds||# Yes|
|Self-Funded or Unknown||Panelbase||15/09/2014||17/09/2014||954||452|
|Self-Funded or Unknown||Survation||16/09/2014||17/09/2014||910||430|
Details about the meta-analysis methodology used can be found in my previous post. The results, based only on the these last six polls are shown in the forest plot below:
The random-effects estimated mean is now 0.479 (95% CI 0.467 to 0.491) (full results from R are shown at the bottom of the post). There is thus reasonably strong evidence, as has essentially already been reported in the news this evening, that the polls are collectively pointing towards a very narrow victory for the No side.
In contrast, from last week's polls the 95% confidence interval straddled the 50% mark, due to the presence of the Sunday Telegraph poll which showed the Yes side in the lead.
Given how close the polls are to 50% now, a major deficiency in the analyses I have presented is that they are based on the % results of the polls (including undecideds) to the nearest whole percentage point. What I should be doing (if there were more time!) would be to go back to each poll's original data and extract the actual numbers.
Of course the above is based on the poll data. As many commentators have pointed out, there still remains a possibility that a different result could occur tomorrow due to a whole host of factors.
Results from R
In case anyone wants to see the raw results from R, they are:
proportion 95%-CI %W(fixed) %W(random) Daily Telegraph 0.4784 [0.4483; 0.5086] 17.45 17.45 Scotsman 0.4768 [0.4456; 0.5081] 16.22 16.22 Daily Mail 0.4783 [0.4456; 0.5111] 14.77 14.77 STV 0.4893 [0.4623; 0.5163] 21.68 21.68 Panelbase 0.4738 [0.4417; 0.5060] 15.30 15.30 Survation 0.4725 [0.4397; 0.5056] 14.59 14.59 Number of studies combined: k=6 proportion 95%-CI z p.value Fixed effect model 0.4789 [0.4665; 0.4913] NA -- Random effects model 0.4789 [0.4665; 0.4913] NA -- Quantifying heterogeneity: tau^2 = 0; H = 1 [1; 1]; I^2 = 0% [0%; 0%] Test of heterogeneity: Q d.f. p.value 0.85 5 0.9739 Details on meta-analytical method: - Inverse variance method - DerSimonian-Laird estimator for tau^2 - Logit transformation - Clopper-Pearson confidence interval for individual studies