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Source: Davis, Hibbitts & Midghall (url)

CandidatePolitical PartyPollGraphPoll Details
DJohn Kitzhaber*Democratic48%piePoll Date: 2014-05-02
RDennis RichardsonRepublican36%Number Polled: 400
-Other-5%Margin of Error: 5%
-Undecided-11%Voter Type: Registered

  * = Incumbent

Kitzhaber with Lead in Oregon

 By: leip (I-NY) on 2014-05-08 @ 21:41:29

Suppose the candidates for Governor in the general election this fall are Dennis Richardson for the Republicans; and John Kitzhaber for the Democrats? In that case, would you vote for Richardson; or Kitzhaber?

(If Q8=“undecided”) Well, would you say that you lean more toward Dennis Richardson, the Republican; or John Kitzhaber; the Democrat?

About this Poll
From April 30 – May 2, 2014, Davis, Hibbitts & Midghall, Inc. (DHM Research) conducted a telephone of registered voters in Oregon. The survey covered several topical subjects, including candidates and issues that will be on the November 2014 ballot, international affairs, the economy, gun control, and basic civic knowledge.

DHM Research contacted respondents using a randomly generated list of registered voters in Oregon, which consisted of both landlines and cellphones. A total of 400 surveys were completed. Quotas were set by age, gender, area of the state and political party to ensure a representative sample. The survey took an average of 10 minutes to administer. In gathering responses, DHM employed a variety of quality control measures, including questionnaire pre-testing and validations.

Any sampling of opinions or attitudes is subject to a margin of error, which represents the difference between a sample of a given population and the total population (here, Portland registered voters). For a sample size of 400, the margin of error is ±4.9%. These plus-minus error margins represent differences between the sample and total population at a confidence interval, or probability, calculated to be 95%. This means that there is a 95% probability that the sample taken for this study would fall within the stated margins of error if compared with the results achieved from surveying the entire population.

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