On Fox, Pew, Outliers and the Bush Trend

Legacy blog posts Polls in the News President Bush

Today I want to report with an assortment of observations relevant to our recent discussions of the Bush job rating and “house effects,” including comments from Charles Franklin’s Political Arithmetik  on the recent Pew survey and a new poll from Fox News.  Franklin has much worth considering from his regression modeling about recent trends in the Bush job rating, although to MP’s eye the surveys reported this week look more or less the same as those a month ago in terms of the Bush job rating. 

Franklin has been blogging up a storm this week despite an extended trip to Israel.  He made two points I want to highlight:

First, he points out the Bush approval rating reported by the Pew Research Center (38% approve) looks to be a bit of an outlier, that is, “[an] unusually low reading of President Bush’s approval compared to most other polls.”  The five conventional national surveys released this week show an average 42% approval, so the Pew Center is about as much of an outlier (38%) on the low end as the ABC/Washington Post poll is on the high end (46%).  Franklin goes into great detail about what his regression models tell us about the Pew poll specifically and the topic of statistical outliers generally.  His conclusion, in this case, is that once we take “house effects” into account (in the graphic reproduced below), the Pew survey still remains “comfortably within the 95% confidence region” of the other recent polls, although obviously lower than average. 

Second, Franklin has also had a series of posts about what his regression models say about the current trend in Bush job approval rating.  This task is not an easy one.  One big challenge comes from those pesky “house effects” that make some polls consistently a bit higher and some a bit lower on Bush’s approval.  Since the different organizations poll on widely varying schedules, their timing can influence the apparent trend.   If anyone is qualified to use regression analysis to puzzle all of this out, Franklin is, but the difficulty is apparent.  As of yesterday his models indicated the upward trend in Bush’s ratings had slowed but not stopped.  Today he ponders whether Bush ratings may be declining again (as compared to mid-December).  I know I have oversimplified his analysis, so read it all for the details. 

My own approach is less sophisticated but perhaps a bit safer.  Ideally, I prefer to look at trends one pollster at a time, and then see if consistent pattern emerges across all organizations.  So here is the table I have posted in several forms all week, updated to include the new Fox News poll (story, full results) and my own averages of the Rasmussen automated tracking.  All six organizations were in the field in early or mid-December and again in the last week or so.

None of the surveys show trends in any category of more than two percentages points, variation that falls well within the sampling error for any individual poll.  And collectively, one pollster shows a one point increase in the percentage expressing approval, one shows a one point decline, and four show no change whatsoever.   In terms of net approval (approve minus disapprove), two show slight gains, two show slight drops and two show no change.  The pattern looks to MP like nothing more than random noise since December.  The Bush job rating certainly rose during November after a sharp decline in October.  However, if the Bush approval rating has been trending consistently in any direction over the last month, MP cannot see it in this data. 

Mark Blumenthal

Mark Blumenthal is political pollster with deep and varied experience across survey research, campaigns, and media. The original "Mystery Pollster" and co-creator of Pollster.com, he explains complex concepts to a multitude of audiences and how data informs politics and decision-making. A researcher and consultant who crafts effective questions and identifies innovative solutions to deliver results. An award winning political journalist who brings insights and crafts compelling narratives from chaotic data.