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Polling Center: Poll Findings vs. Election Results

In several races, Tuesday's election results didn't match the findings of the University of Texas/Texas Tribune Poll two weeks earlier. What happened?

State Sen. Dan Patrick and Lt. Gov. David Dewhurst are in a runoff in the GOP lieutenant governor's race.

*Correction appended

Pollsters read survey results about upcoming elections in a very circumscribed sense, as a snapshot in time (as the well-worn yet apt characterization goes), while the rest of the world tends to view them as predictions. In particular, trial ballot questions are often viewed as predictive of what will happen on Election Day. If you read about the latest University of Texas/Texas Tribune Poll last month, you no doubt noticed that some of its “predictions” did not match up with the actual outcomes of Tuesday’s primaries.

So what happened?

The ongoing challenge of public polling is to reconcile popular expectations about what polls “mean” at election time with our own desire to provide the public with information about mass opinion on politics and policy. We begin with the realization that polling results provide an account of public attitudes only at the time the data are collected. However, publicly released polls tend to be taken as a prediction of what will happen on Election Day. As much as we would like this to be the case, and as pleased as we are when the polling results comport with the eventual reality, we don’t, in the end, view the results in this way.

A situation with (a) a lot of unformed or nonexistent opinions of candidates and (b) active campaigning in multicandidate races with no distinguishing party labels in a notoriously low-turnout election was, and is, likely to create volatility in results and uncertainty about the composition of the electorate. This volatility, particularly in the weeks leading up to an election, as voters slowly begin to pay attention, is why campaigns invest in daily tracking polls if they can afford them. As several candidates found out Tuesday, the past, even the relatively recent past, is always an imperfect guide to the present.

In our own polling, to assess the state of the primary elections, we screened “likely voters” from the larger sample of registered voter respondents — people who told us that they intended to vote in a particular party’s primary and, in addition, said that they were “very” or “somewhat” interested in politics and had voted in “every” or “almost every” one of the past few elections. Even among this group, many expressed no candidate preference in a number of races. With the election just around the corner, we forced them to make a decision — asking which candidate would get their vote in each race if “don’t know” was not among the options. In sum, we reported the results for people who seemed to be “likely” primary voters at some distance from the actual primary election. This screen, like any screen, is arbitrary, but has, in the past, been particularly robust and, maybe even more important to us, is purposefully agnostic about the eventual composition of the electorate.

There are several factors that might explain the differences between the election results and our trial ballot numbers in 2014. The seemingly obvious reason is that many of the campaigns, having limited resources, waited until the final few weeks to make the most of their advertising buys, presenting themselves (or their opponents) to the voters, in many cases, for the first time. We intentionally came out of the field just before early voting began to avoid measuring two different things but treating them as one: a reported recollection of one’s early vote and a prospective assessment of one’s likely vote. The problem lies in the fact that the effect of a late surge in campaigning is arguably larger in low-information, low-turnout elections like this one, because most voters form their preferences and eventual vote choices based on very little information and/or a limited set of criteria about the candidates.

The composition of the electorate is another important factor. The best way to know what the electorate will look like is to know what it has looked like in the past, and for Texas primaries we don’t have systematic information of that kind. Exit polling in non-presidential primaries is rare, and the most recent primary exit polls for Texas are from 2008.

As an alternative to the missing exit polling, we can reverse-engineer the likely electorate based on Tuesday’s results and our polling data, as we have in the table below. Focusing our attention on the Republican primaries for lieutenant governor and attorney general — two contests in which our poll showed the eventual runner-up as the leader — we see a GOP primary electorate that was, above all else, very conservative and very much aligned with the Tea Party sentiment that many in the media have begun to dismiss. We expect the primary electorate to be ideologically conservative; the likely voter screen should capture a greater share of these voters while also capturing those who vote regularly for reasons other than ideological commitment — civic-minded voters, party stalwarts and the like.

A look at the results:

GOP Lieutenant Governor Primary: Alternative LV Screens
Source: University of Texas/Texas Tribune Poll, February 2014
 DewhurstStaplesPattersonPatrickN / (MOE +/-)
ACTUAL RESULTS 28 18 12 41 n/a
Among likely voters 37 17 15 31 461 / (4.56%)
Among all conservatives 36 15 16 33 420 / (4.78%)
Among “somewhat” or “extremely” conservative 36 17 13 34 290 / (5.75%)
Among “extremely” conservative 35 15 12 38 100 / (9.8%)
Among “extremely” conservative likely voters 33 17 10 39 86 / (10.57%)
Among those with an opinion of each lt. gov. candidate 25 14 21 40 123 / (8.84%)
Among those with an opinion of Dan Patrick 27 13 16 44 301 / (5.65%)
Among Tea Party Republican likely voters 26 17 20 38 169 / (7.54%)
Among Ted Cruz 2016 GOP primary voters 36 12 16 36 146 / (8.11%)
Among Ted Cruz 2016 GOP primary likely voters 34 13 16 37 132 / (8.53%)
Among Ted Cruz 2016 GOP primary voters who view Cruz “extremely” favorably and are likely voters 33 14 14 39 123 / (8.8%)

 

GOP Attorney General Primary: Alternative LV Screens
Source: University of Texas/Texas Tribune Poll, February 2014
 BranchSmithermanPaxtonN / (MOE +/-)
ACTUAL RESULTS 33 22 44 n/a
Among LVs 42 20 38 461 / (4.56%)
Among likely voters 45 17 38 409 / (4.85%)
Among all conservatives 49 17 34 284 / (5.82%)
Among “somewhat” or “extremely” conservative 42 22 36 97 / (9.95%)
Among “extremely” conservative 39 23 38 82 / (10.82%)
Among “extremely” conservative likely voters 43 26 30 124 / (8.8%)
Among those with an opinion of each lt. gov. candidate 48 23 30 294 / (5.72%)
Among those with an opinion of Dan Patrick 44 18 38 159 / (7.77%)
Among Tea Party Republican likely voters 38 19 43 139 / (8.31%)
Among Ted Cruz 2016 GOP primary voters 38 19 43 124 / (8.8%)
Among Ted Cruz 2016 GOP primary likely voters 39 17 43 116 / (9.1%)

 

The tables show us that the 1.3 million voters who turned out for the Republican primary (only 9.6 percent of registered voters) largely came from the most conservative quarters of the Texas GOP. See, for example, how closely the preferences of those who favored Ted Cruz over more moderate Republicans in the 2016 presidential primary trial heat resembled the final result in the GOP attorney general race.

Additionally, what these tables don’t show is how uninformed and underdeveloped the attitudes of the electorate were in the final weeks of the campaign — an element that was sure to create volatility (that is, broad but potentially uneven changes in preferences that affect the totals for the candidates). Additional data elaborate the point: About a fifth of GOP voters for each of the lieutenant governor candidates did not register either a positive or negative opinion toward their preferred candidate. In addition, roughly half of the potential GOP primary voters surveyed in the attorney general and comptroller races originally stated that they hadn’t thought enough about the race to form an opinion. This is almost certainly why Debra Medina polled so high among people forced to choose: They recognized her name.

The Democratic side of the ledger was even more disheartening for anyone who wants to assume the existence of a large, engaged and informed electorate. U.S. Senate candidate Kesha Rogers’ strong initial polling — driven in large part by African-American respondents who, in the end, didn’t vote — was also buoyed by the roughly three-quarters of our respondents who initially said that they had no opinion in that primary. (As with the Republicans, those who initially chose no one were then asked which way they leaned.)

However the results of UT/TT polls are viewed, our practice is to be as transparent as we possibly can be with our public opinion data, making every survey, codebook, methodology statement, crosstab and data set available to everyone and anyone who wishes to run their own analyses (or simply take a closer look).

The results from this election will have us re-examining our likely voter screen, especially in low-turnout elections. We’ve written about this screen extensively and, in the case of last year’s poll on the constitutional amendment election, about the different potential results based on one’s interpretation of the data and expectation of the electorate. One idea is to release more results based on different likely voter screens, so that anyone looking at a particular poll can decide what they think is the most likely outcome based on their own expectations about the electorate.

As we consider this and other ideas, we’ll continue looking for new ways to leverage the transparency we already practice to more actively engage users in an ongoing discussion of Texas politics.

Correction: A previous version of this post had Ken Paxton's actuals in the attorney general table as 45; the correct number is 44. 

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