Pulse Asia's survey methodology is typical of a private survey firm's approach to sampling given limited resources but still able to make some measurable conclusions.
I am not an agent of Pulse Asia, but Pulse Asia has technical notes able to be understood by people exposed to survey sampling methods.
1st, Pulse Asia's domain of concern in studying to have measurable accuracy with sampling is the four geographic areas: NCR, Luzon w/o NCR (termed Balance Luzon), Visayas, and Mindanao, each of the four alloted 300 samples each, thus 1,200 samples.
Why 300? Well, it's a good round number for a desired 6% margin of error, or around that.
For very large populations of which we would like to be about 95% confident that the true proportion of approving citizens is within 6% margin of error is 266.777... or 300 is round enough.
The regional breakdown of margin of error? That is computed for the people post-hoc, and regional estimation is not really the targeted level of the survey to be accurate.
They computed it still to be open to those who would like to see it.
I would need a class setting to explain the other aspects of the sampling methodology, but whatbI can say is nothing too out of the ordinary is in the technical notes. I kinda remember the survey operations class in undergrad HAHAHAHA
Could they have done better in sampling methodology? Sure! But sample size determination is a statistical and a cost decision, and they are a business. They have limited resources. I don't know the financial situation of Pulse Asia to say why exactly they used this method.
Thanks for attending the TED talk on survey sampling!
I know statisticians who can explain it much better than me hahahaha!
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It is difficult to believe the curve of new confirmed cases per day, because It is highly susceptible to the limitations of @DOHgovph in terms of data management and case validation. Look at the curve of cases by onset of symptoms
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Ignore the point the last portion where the line drops, because again, data delays in validation and testing.
As one can see, the cases have seemingly growing at an increasing rate, bar again the last 9 days or so of the data.
Flattening of the curve entails: 1) a basis on a reference curve of no interventions or the worst scenario, and 2) knowledge of the healthcare capacity
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