Public Opinion and Polling Notes
Public Opinion
Overview
- Transitioning to studying what Americans actually think about politics and government.
- Focus on how public opinion affects government actions.
- Central question: How do we know what Americans think about politics?
What is Public Opinion?
- Definition: Opinions held by private persons that governments find prudent to heed.
- V.O. Key: Defining public opinion precisely is very challenging.
Why Is Public Opinion Important?
- Key component of a healthy democracy.
- Rooted in the foundation of the nation, e.g., "No taxation without representation."
- Questions to consider:
- What do Americans think about current events and public servants?
- How do we know what Americans think?
- Does public opinion shape public policy?
How Members of Congress Learn Public Opinion
- Monitoring:
- Social media.
- Protests (who, what, how many).
- Petitions.
- Correspondence from constituents (mail, email, phone calls).
- Informal conversations.
- Political conventions and assemblies.
- Town hall meetings.
Town Hall Meetings
- Citizens express opinions and activism at town halls.
- Politicians can gauge public opinion, but it may not always be representative.
- Social media offers similar opportunities and challenges.
Uses for Polling
- Polling is a common method to understand public opinion.
- Polls can provide representative samples of populations.
- Other methods are often unrepresentative.
George Gallup on Polling
- Polling is a tool to measure public opinion.
- When leaders pay attention to polls, they are paying attention to the views of the people.
Polls Can Tell Us About…
- Americans’ political knowledge (or lack thereof).
- Civic and political knowledge.
- Name recognition for candidates.
- Americans’ political involvement.
- Participation in the political process.
- Exit polls.
Ubiquity of Polls
- Polls are widespread, conducted by:
- Candidates.
- News media (e.g., CBS/New York Times).
- Businesses and advocacy organizations.
- Academics.
- Important to know who sponsors the poll and their objectives.
Drawbacks of Polling
- Small sample size can reduce accuracy.
- Exclusion of certain backgrounds.
- Poorly worded questions.
- Leading questions or political bias.
- Limited answer choices that don't capture all nuances.
- Misrepresentation of polling results.
How Does Polling Work?
- Polling data is used to make inferences about the larger population.
- Random samples are taken from the population of interest.
The Challenge of Sampling
- Ensuring the sample includes diverse people.
- Selection effects occur when the sample isn't representative.
- Example: Researching UH undergraduates’ study habits requires a representative sample.
Literary Digest and Presidential Election Straw Polls
- Straw polls were early types of polls in the early 20th century, used by magazines.
- Literary Digest's straw polls accurately predicted presidential election winners from 1916-1932.
Literary Digest’s 1936 Disaster
- Predicted Alf Landon would defeat FDR (55-41%).
- FDR won by a 61-37% margin.
- What happened?!?!?!
The Aftermath of Literary Digest Problems
- Undercoverage: Used telephone books and vehicle registrations during the Great Depression.
- Low response rate: Only 23% of 10 million people responded.
- Large samples are not necessarily better than small samples.
- Gallup, with only about 5,000 in-person interviews, got it right.
- Quota samples have come under scrutiny.
- Simple random sample (SRS) is now considered the gold standard.
Overview of Sampling Error
- Sampling error (margin of error) is the difference between sample statistics and population statistics.
- Sampling error is inevitable in every poll.
Introduction to Sampling Error
- Even with efforts to avoid selection bias, sampling error still exists.
- Sampling error: Difference between sample statistics and population statistics.
- Inevitable, not a mistake.
Example 1: Presidential Approval Ratings
- Polls ask about approval of presidents (e.g., Trump). Gallup reported a 45% approval rating in February 2025 with a margin of error of ± 4% at the 95% confidence level.
Sampling Error in Polls that Predict Election Outcomes
- Pollsters study “likely voters” instead of the general population.
- Identifying likely voters is challenging.
- Professional pollsters disagree on methods.
So We Have Identified Likely Voters. Now What?
- The population is smaller than the overall U.S. citizens (18+).
- Pollsters must work harder to obtain a good sample.
- Being willing to complete a poll doesn't guarantee they’ll vote.
Interpreting Margins of Error When Predicting Election Outcomes
- Exercise caution when gauging multiple candidates’ support.
- Multiple test statistics, each with its margin of error.
- Separate, larger margin of error for the spread between candidates.
Example 2: The Texas Senate Race
- August 2024 Texas Trends poll by UH Hobby School and Texas Southern Barbara Jordan – Mickey Leland Schools of Public Affairs.
- 1,365 likely Texas voters.
- Cruz: 46.6%.
- Allred: 44.5%.
- Margin of error: ± 2.65%.
- Based on this poll, it was hard to tell who would win.
- In the end, Senator Cruz was reelected, gaining 53 percent of the vote to Allred’s 45 percent
Example 3: The National Popular Vote in the Presidential Election
- Fall 2024 NPR/PBS News/Marist Poll for the popular vote in that year’s presidential election
- 1,294 registered voters.
- Harris: 50%.
- Trump: 48%.
- Margin of error: ± 3.7%.
- Based on this poll, it was hard to tell who would win.
- In the end, Trump won 49.9 percent of the national popular vote; Harris won 48.4 percent
The Unique Challenge of Predicting American Presidential Elections
- Besides identifying likely voters, there are other challenges.
- Nationwide polls sample likely voters nationally.
- These polls predict only national results.
For Presidential Elections: Likely Voters Where?
- Electoral College requires state-level polls.
- Nationwide polls don't reflect state-level dynamics.
- Historically, state polls have been difficult and expensive.
We Need State Level Polls
- Due to the Electoral College, state-level polls of likely voters are needed.
- National polls don't accurately represent state-level opinions.
- State polls are historically difficult and expensive to conduct.
The Relationship between Sample Sizes and Sampling Error
- As sample size increases sampling error decreases.
The relationship between sample sizes and margin of error is shown on the graph.
The Trouble with State Level Polls
- State-level polls require large sample sizes for a 3% margin of error.
- State polls often lack resources despite their importance.
- 2016 state polls were of low quality.
- Interpret election polls cautiously.
Example 4: The Battlegrounds
- Seven battleground states with a combined 93 electoral votes.
- Polling in each state was within the margin of error.
- Neither candidate had a clear advantage in polls.
- In the end, President Trump won all seven states.
Concerns About Question Wording
- Objective of a poll is to gauge public opinion; push polls aim to change it under the guise of a poll.
What is a Push Poll?
- A push poll attempts to change public opinion while pretending to be a legitimate poll.
Message Testing v. Push Polls
- Message testing is used by candidates to research campaign strategies.
- Push polls manipulate public opinion rather than gauge it.
- Example: 2000 South Carolina Republican Primary.
What Can Be Done About Push Polls?
- Unfortunately, despite push polls being considered unethical, the answer is…not a whole lot.
- The American Association of Public Opinion Researchers (AAPOR) prohibits members from conducting push polls.
Issues with Question Wording
- Changes in wording and answer choices can drastically affect findings.
- Examples: "Welfare" vs. "aid to the poor"; death penalty and sentencing options.
- Implications for campaigns: wording can influence responses.
- General Social Survey question example: Asking about spending on various problems and whether it’s too much, too little, or about right.
General Social Survey, 2006
- "Welfare" vs. "Assistance to the Poor."
- Different responses based on wording.
Capital Punishment (The Death Penalty)
- Historically most Americans have favored the death penalty as a punishment for convicted killers
- Support/opposition is not as easy to gauge as you might think
- Consider carefully the responses Gallup received to two different questions regarding the death penalty
Support for Capital Punishment - Version 1
- Are you in favor of the death penalty for a person convicted of murder?
- % in favor has varied from 90% to under 60% from 1936 to 2019.
- % opposed has varied from 10% to around 40% from 1936 to 2019.
Support for Capital Punishment - Version 2
- If you could choose between the following two approaches, which do you think is the better penalty for murder - [ROTATED: the death penalty (or) life imprisonment, with absolutely no possibility of parole]?
- % death penalty has varied from 56% to around under 50% from 1986 to 2019.
- % life imprisonment has varied from 34% to over 50% from 1986 to 2019.
Reflections on This Example
- How does question wording influence responses?
- How might pollsters use this finding for good or ill?
Tips for Writing Good Questions
- Balanced arguments: "Do you favor or oppose the death penalty?" is better than "Do you favor the death penalty?".
- Avoid double-barreled questions (two questions in one).
- Example: "If we can now trust the Russians, do you think we should focus our attention on saving endangered species?"
Try to Avoid Negatives!
- Avoid negatives due to confusion.
- Example: Instead of "Do you think McDonald’s should not have been found not liable…" use "Do you think McDonald’s should have been found liable…or not?"
The Importance of Questions Order
- Question order can prime people to answer later questions in a certain way.
The Classic Question Order Effect
- Two versions of questions about Communist reporters: changing the order changes the responses.
Effects of Public Opinion on Public Policy
- To what extent are politicians beholden to public opinion?
- To what extent should politicians be beholden to public opinion?
Assessing the Impact of the Public on Policy Outcomes
- Political scientists struggle with this question.
- Challenges:
- Congress's true intentions (reelection vs. genuine desire).
- Inconsistencies in public opinion.
- The public is operationally liberal yet symbolically conservative.
Studies of Public Mood
- Evidence of responsiveness to public opinion.
- Policy changes receive strong public support.
- Researchers can predict policy changes based on public opinion.
- Policy outputs move in the same direction as public mood (liberal or conservative).
Public Policy Mood
- (Graph from 1952-2020 showing % Liberal Responses).
Source: James A. Stimson ( http://stimson.web.unc.edu/data/ )
Kidnapping and Murder of Polly Klaas and Three Strikes Laws
- 1993: Polly Klaas kidnapped and murdered.
- 1994: California passed a three strikes law.
- Third strike leads to a mandatory sentence of 25 years to life.
Weakening Three Strikes in California
- Proposition 36 (2012) thrown out with 69 percent of the vote:
- Criminal conviction has to be violent to constitute Strike 3.
- If sentenced under three strikes, you could appeal your sentence.
- Those whose strikes include murder, rape, and/or child molestation may not do so
How Should Politicians Respond to Public Opinion?
- Disagreement among scholars on the extent of correspondence between public opinion and policy.
- Consider two approaches and apply them to crime and punishment.
Delegate Model
- Representative should vote as their constituents would like.
- Public opinion matters greatly.
Trustee Model
- Public opinion is less likely to affect a representative’s votes.
- Edmund Burke: Representatives should use their own judgment, not just follow public opinion.