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Table A2.1 The difference between two overall average MPRAB(I) values within a row (Region) in Table 4 is declared significant (based on \(\alpha =0.03\)) if it exceeds 2.58 in absolute value. The primary results of the post-hoc analysis for differences in overall average MPRAB(I) values are listed within this table

From: Sweet tweets! Evaluating a new approach for probability-based sampling of Twitter

1)

In Chicago, we cannot distinguish the performance between the Methods for any Size.

2)

When the Size = 360, we cannot distinguish between the Methods in Phoenix and Pittsburgh. In Atlanta, VBEST-SYS is significantly better than Recent while in Baltimore, VBEST-SYS and Uniform are better than Recent.

3)

At Size = 540, Recent has the worst performance in Phoenix and Pittsburgh. Recent is worse than VBEST-SRS in Atlanta and VBEST-SRS and VBEST-SYS in Baltimore.

4)

With the Size, 720, Recent has significantly worse performance in Pittsburgh than VBEST-SRS and VBEST-SYS and it is worse than VBEST-SYS in Atlanta. Baltimore shows an anomaly with Recent having the lowest mean MPRAB(I), although not significantly better than VBEST-SRS and VBEST-SYS with Uniform being significantly worse than Recent.

5)

At Size = 540, the mean MPRAB(I) for Recent is not significantly better than those from any other Method using Size = 360. Similarly, Recent with Size=720 is no better than the others with Size = 540 (with the exception of the Baltimore Region).

6)

The MPRAB(I) means for a given Method with Size = 540 fall between those values of the Method using Sizes of 360 and 720 respectively. This result generally holds for each of the Methods across the Regions.