Survey of Registered Voters Attitudes on Local Issues City of Cambridge, Massachusetts

A survey of 400 registered voters in the city of Cambridge, MA finds that a plurality of residents (47%) believe affordable housing is the most pressing issue facing the city. 13% of residents believe traffic is the most important issue in Cambridge, followed by education with 8%. The issues of bikes and bike lanes, crime, drugs, and opioids all received 5% or less. 13% of residents say their most important issue is an unspecified other.

When asked about a potential Affordable Housing Overlay District in Cambridge, 58% of residents were aware of the proposal. 38% of residents support the proposal, 32% are in opposition, and 30% are unsure. 

Residents were also asked about the success of efforts to revitalize the city’s squares. 30% of residents find there have been meaningful improvements in Central Square, 35% say there have not been improvements, and 35% are unsure. Regarding Inman Square, only 16% of residents see meaningful improvements, 33% do not, and a majority of 51% are unsure. 

The overall approval of the Cambridge City Council among residents is split, with 34% approval, 26% disapproval, 30% unsure, and 11% no opinion. 

Residents were also asked about the favorability of individual City Council members:

Marc McGovern- 43% favorable, 19% unfavorable, 24% unsure, 15% no opinion

Jan Devereux-31% favorable, 17% unfavorable, 29% unsure, 23% no opinion

Dennis Carlone- 26% favorable, 17% unfavorable, 33% unsure, 25% no opinion

Craig Kelley- 31% favorable, 18% unfavorable, 28% unsure, 24% no opinion

Alanna Mallon- 26% favorable, 19% unfavorable, 33% unsure, 22% no opinion

Sumbul Siddiqi- 23% favorable, 20% unfavorable, 31% unsure, 26% no opinion

Denise Simmons- 41% favorable, 25% unfavorable, 18% unsure, 16% no opinion

Timothy Toomey- 32% favorable, 23% unfavorable, 27% unsure, 18% no opinion

Quinton Zondervan- 22% favorable, 17% unfavorable, 36% unsure, 25% no opinion 

 

Full Results

Survey Instrument and Report

Allocating Undecided Voters in Pre-election Polling

Spencer Kimball, Esq, J.D., M.S., M.A.

Liudmila Yudina, M.A.

Research Assistant: Cole Mootz, Emerson College

Abstract: Is there a way to make pre-election polls more accurate? This paper seeks to test some of the most popular methods of allocating ‘undecided’ voters, based on the underlying theory that the allocation of undecided voters will improve the public’s expectations of election results and a pollster’s claims about accuracy. Polling literature states the most popular methods to incorporate undecided voters include asking a “leaner” question that follows a ballot test question or allocating the undecided proportionally to their vote preference. Both methods were used in this study, along with a third option in which an even-allocation, or essentially no allocation of undecided voters, took place. The study incorporates n=54 pre-election polls conducted in 20 different states, between October 26 and November 4, 2018, which were used to compare the three allocation methods. This includes an Absolute Error test (deviation between poll results and election results, Mosteller et al., 1949), a Statistical Accuracy test (absolute error compared with the poll’s margin of error, Kimball, 2017), and a Predictive Accuracy test (did the poll predict the actual election winner?). The study found no significant difference between the accuracy of the polls that included an allocation of undecided voters as compared to those that did not (χ2(2, N=161)=.200, p =.905), suggesting that allocating undecided voters does not detract from, nor add to the reliability and validity of a pre-election poll.

Read More

AAPOR: Comparing Online Panels and IVR Samples

View Professor Spencer Kimball’s 2019 AAPOR presentation on three studies:

Study 1: Polls and Mode of Data Collection

Study 2: Online Panel “House Effects”

Study 3: Mix Mode and Midterms 2018

Full Presentation

 

 

2016 Presidential Statewide Polling — A Substandard Performance: A Proposal and Application for Evaluating Pre-election Poll Accuracy

Spencer Kimball, Esq, J.D., M.S., M.A.

American Behavioral Scientist

Abstract: This study implements a statistical accuracy (SA) measurement for assessing preelection poll accuracy by comparing Mosteller (1949) Method 5 (absolute difference between poll results and election results) with the poll’s margin of error (MOE) or credibility interval. The expectation is that 95% of poll results would be SA by falling between the poll’s margin of error or credibility interval and the actual margin of victory. The new measurement is described and then applied to the statewide preelection polls from the 2012 Presidential (n= 331) and 2016 Presidential (n = 539) races using n = 182 polling organizations in the last 21 days of each election cycle. This analysis finds statewide preelection polling in 2012 had a 94% SA and was not statistically different from the expected 95%, while the statewide polling in 2016 had a 77% SA and a binomial test found the distribution differs significantly from the expected 95%. There is a significant difference in SA between the two election cycles, χ2(1, N = 870) = 45.24, p < .000. The 2012 biased polls favored the Republican candidate 68% of the time; however, a binomial test found this distribution did not differ significantly from the expected 50/50 distribution, .50, p = .167 (two-tailed), suggesting this was caused by random error. In 2016, biased polls favored the Democratic candidate 90% of the time, a binomial test indicated that the proportion was higher than the expected .50, p < .000 (two-tailed), suggesting a systemic bias.

Read More

Media Ethics and Polling Literacy: Margin of Error

Spencer Kimball, Esq, J.D., M.S., M.A.

Spencer Kimball, Director of Emerson Polling discusses how both media organizations and pollsters must do a better job in explaining the results and other uncertainties of a poll, calculate the respective margins of errors and spell out the implications for these figures in order to create a more informed electorate and to provide better expectations come election day.

Read More

“Different Strokes for Different Folks”: Implications of Voter Micro-Targeting and Appeal in the Age of Donald Trump

Vincent Raynauld, Ph.D.

Publication: Political Marketing in the 2016 U.S. Presidential Election, Part of the Palgrave Studies in Political Marketing and Management book series

Abstract: Despite the 2016 US Republican presidential contest being considered by many as “one unlike no others”, this chapter posits that its outcome can be attributed, at least partly, to dynamics that had affected the unfolding of previous American electoral contests. In their chapter, Raynauld and Turcotte explore contemporary political messaging and marketing tactics deployed by candidates running for the presidential nomination. As the Republican electorate was fragmented due to different factors, candidates engaged in hyper narrowcasting in order to reach out and mobilize specific groups of voters. Through the statistical analysis of polling data from key primary states, Raynauld and Turcotte conclude that by occupying narrow political “lanes”, Republican contenders

Read More 

The Viral Gap

Owen Eagan, M.A., M.B.A.

International Journal of Interdisciplinary Research

Abstract: This article explores word-of-mouth communication and the gap that exists between viral content or buzz that is generated by communication professionals and its intended return on investment. This research begins with an analysis of Super Bowl commercials from 2015 to determine the extent to which the ads created buzz and the amount of sales they produced then discusses other metrics utilized to analyze the effectiveness of these ads. While Super Bowls ads are the subject of this study, this model can be used to evaluate this so-called “viral gap” in a variety of contexts. The purpose of this research is to better understand this relationship, increase awareness among communication professionals, and improve the effectiveness of communication.

Read more

Polling on Public Policy: A Case Study in Engaging Youth Voters in the Public Opinion Process for Effective Civic Discourse

Spencer H. Kimball, Esq, MA, MS, JD; Dr. Gregory Payne, M.P.A, Ph.D.

American Behavioral Scientist

Abstract: This report details the steps involved in setting up a polling club as part of related classes in political communication, public policy, and civic engagement among college students. It also examines an extracurricular activity that provides students with the opportunity to assess public opinion on policy matters at the local, state, and national levels. Insights as well as challenges from professors and students involved in such pertinent themes as web analytics, aggregate polling, and the internal and external constraints and biases inherent in such a project will be explored, as well as the need to focus on an integrated strategic communication perspective that bridges the frequent silos of marketing, advertising, public relations, journalism, and political communication.

Read More

The Encyclopedia of Social Media and Politics

Kerric Harvey, M.P.S., Ph.D., Spencer H. Kimball, Esq, MA, MS, JD

The Encyclopedia of Social Media and Politics explores how the rise of social media is altering politics both in the United States and in key moments, movements, and places around the world. Its scope encompasses the disruptive technologies and activities that are changing basic patterns in American politics and the amazing transformations that social media use is rendering in other political systems heretofore resistant to democratization and change. In a time when social media are revolutionizing and galvanizing politics in the United States and around the world, this encyclopedia is a must-have reference.

Read More

Interactive Voice Recognition Communication in Electoral Politics: Exploratory Metadata Analysis

Spencer H. Kimball, Esq, MA, MS, JD, Ting Levy, MA, PhD, Henry Venturelli, MS, Sophie Miller, MS

American Behavioral Scientist

Abstract: This research tested the conventional wisdom that interactive voice recognition (IVR; also known as robocalls or auto calls) are not listened to by receivers. The study found that three out of four people (75%) listen to over 19 s of a message, which equates to over 40 words. The vast majority of people, 97%, listen to at least 6 s. This innovative, unobtrusive field approach for measuring actual listening time eliminates self-report bias. The unique data set, provided by a third-party vendor, consisted of 156 call projects with a total of 389,588 live answered phone calls from the last week of the 2012 election.

Read More

1 2