Data Dictionary. Online Segments

Similar documents
ONLINE SEGMENTS DATA DICTIONARY

D A T A D I C T I O N A R Y D2 D A T A D I C T I O N A R Y

Data Models. 1. Data REGISTRATION STATUS VOTING HISTORY

DNC SCORES IN VOTEBUILDER. VA 5th District Democratic Committee

DEEP ROOT A UDIENCES. At Deep Root Analytics we make your target audiences the backbone of your advertising campaign.

U.S. Catholics split between intent to vote for Kerry and Bush.

POLL DATA HIGHLIGHTS SIGNIFICANT DIFFERENCES BETWEEN REGISTERED DEMOCRATS AND REPUBLICANS.

Latino Decisions / America's Voice June State Latino Battleground Survey

I. Cassidy holds a 16 point lead (Cassidy 56.6%/Landrieu 40.5%).

Marist College Institute for Public Opinion Poughkeepsie, NY Phone Fax

POLL Republican National Delegate Survey. July 23 August 26, 2008 N= 854

University of North Florida Public Opinion Research Lab

AMERICAN MUSLIM VOTERS AND THE 2012 ELECTION A Demographic Profile and Survey of Attitudes

Catholics for a Free Choice 2004 Survey of Catholic Likely Voters Page 2

National. Likely General Election Voter Survey. November 14 th, On the web

FINAL RESULTS: National Voter Survey Total Sample Size: 2428, Margin of Error: ±2.0% Interview Dates: November 1-4, 2018

Loras College Statewide Wisconsin Survey October/November 2016

Clinton s lead in Virginia edges up after debate, 42-35, gaining support among Independents and Millennials

WEEKLY LATINO TRACKING POLL 2018: WAVE 1 9/05/18

Survey on the Death Penalty

GOP Makes Big Gains among White Voters

2014 Ohio Election: Labor Day Akron Buckeye Poll

Catholic voters presidential preference, issue priorities, and opinion of certain church policies

Unit 2:Political Beliefs and Public Opinion Session 1: American Political Culture

University of North Florida Public Opinion Research Lab

Colorado 2014: Comparisons of Predicted and Actual Turnout

The GOP Civil War & Its Opportunities Report from Republican Party Project Survey

DRA NATIONAL AUDIENCE & COALITION MODELING:

Religion and Politics: The Ambivalent Majority

NATIONAL: 2018 HOUSE RACE STABILITY

THE WORKMEN S CIRCLE SURVEY OF AMERICAN JEWS. Jews, Economic Justice & the Vote in Steven M. Cohen and Samuel Abrams

Weekly Tracking Poll Week 3: September 25-Oct 1 (MoE +/-4.4%)

APPENDIX: Defining the database

1. One of the various ways in which parties contribute to democratic governance is by.

Rick Santorum has erased 7.91 point deficit to move into a statistical tie with Mitt Romney the night before voters go to the polls in Michigan.

THE TARRANCE GROUP. Interested Parties. Brian Nienaber. Key findings from the Battleground Week 6 Survey

NEWS RELEASE. Red State Nail-biter: McCain and Obama in 47% - 47 % Dead Heat Among Hoosier Voters

NBC News/WSJ/Marist Poll Iowa September 20, 2012 Presidential Election Questionnaire

The Latest Rocky Mountain Poll Release Follows

Clinton has significant lead among likely Virginia voters; 53% say Trump is racist, but 54% wouldn t trust Clinton

PRESIDENTIAL JOB APPROVAL & HEALTH CARE TABLE

Two-to-one voter support for Marijuana Legalization (Prop. 64) and Gun Control (Prop. 63) initiatives.

Clinton Maintains 3% Lead in Michigan (Clinton 47% - Trump 44% - Johnson 4% - Stein 1%)

THE ARAB AMERICAN VOTE AMMU S

These are the highlights of the latest Field Poll completed among a random sample of 997 California registered voters.

MCLAUGHLIN & ASSOCIATES NATIONAL OMNIBUS ForAmerica.org June 19, 2018

What s Your Political DNA: METHODOLOGY & TOPLINES

Latino Voters in the 2008 Presidential Election:

MEMORANDUM INTERESTED PARTIES FROM: ED GOEAS BATTLEGROUND POLL DATE: SEPTEMBER 16, The Tarrance Group Page 1

Exit Polls 2000 Election

Who s Following Trump and Clinton?

Unit #2: Political Beliefs/Political Behaviors AP US Government & Politics Mr. Coia

RECOMMENDED CITATION: Pew Research Center, July, 2015, Negative Views of Supreme Court at Record High, Driven by Republican Dissatisfaction

San Diego Mayoral Election: A Race to the Finish Line

CHANGING DEMOGRAPHICS AND IMMIGRATION POLITICS IN ARIZONA. March 4, 2014

2012 Weekly Political Tracking Poll August 27-November 5, 2012

McLAUGHLIN & ASSOCIATES NATIONAL SURVEY OF REPUBLICANS TABLE OF CONTENTS FEBRUARY 28,

MCLAUGHLIN & ASSOCIATES NATIONAL OMNIBUS March 23, 2016

Virginia s 7 th Congressional District Republican Primary Survey Analysis

Global Warming and the 2008 Presidential Election

Almost certain 80% Probably 9% % Will not vote 4% Don't know 1%

Survey of Likely General Election Voters Missouri Statewide

THE FIELD POLL. UCB Contact

Unit #2: Political Beliefs/Political Behaviors AP US Government & Politics Mr. Coia

the polling company, inc./womantrend Immigration: Public Opinion Realities and Policy & Political Opportunities

September 2017 Toplines

UndecidedVotersinthe NovemberPresidential Election. anationalsurvey

NEW JERSEY: TIGHT RACE IN CD03

Gillespie gains, but Warner holds solid lead; voters favor Warner over Gillespie on issues

Louisiana Poll Results Romney 55%, Obama 34%, Third Party 4% (8% Undecided) Obama re-elect: 32-60% Healthcare reform support hurts 58-33%

HOUSE VOTING INTENTIONS KNOTTED, NATIONAL TREND NOT APPARENT

HART RESEARCH ASSOCIATES/PUBLIC OPINION STRATEGIES Study # page 1

State of the Female Electorate. January 16-19, 2018 N = 1,200 respondents (1/3 Landline, 1/3 Cell, 1/3 Internet) margin of error: +/- 2.

TOPLINE RESULTS University of Delaware, Center for Political Communication NATIONAL AGENDA POLL HOLD FOR RELEASE 6:30AM OCTOBER 6, 2010

FAU Poll: Hispanics backing Clinton in Key Battleground States of Ohio, Colorado Nevada, North Carolina and Florida.

Typology Group Profiles

EMBARGOED UNTIL 6 A.M. THURSDAY, OCTOBER 27, 2016

FOR RELEASE APRIL 26, 2018

November 2017 Toplines

Trump Continues to Lead Big in Michigan (Trump 41% - Rubio 19% - Cruz 16% - Kasich 11%)

Santorum loses ground. Romney has reclaimed Michigan by 7.91 points after the CNN debate.

PENNSYLVANIA: SMALL LEAD FOR SACCONE IN CD18

The Social Policy & Politics Program. March 2012

THE ASSOCIATED PRESS POLL CONDUCTED BY IPSOS-PUBLIC AFFAIRS RELEASE DATE: MARCH 24, 2005 PROJECT # REGISTERED VOTERS/ PARTY AFFILIATION

state offices - are Wk7 Wk8 * 1 2 * 1 *

Clinton Lead Cut in Half from August (Clinton 47% - Trump 42% in 2-way and Clinton 45% - Trump 39% in 4-way)

WEEKLY LATINO TRACKING POLL 2018: WAVE 8 10/23/18

Clinton Lead Cut to 8% in Michigan (Clinton 49% - Trump 41%- Johnson 3% - Stein 1%)

NBC News/WSJ/Marist Poll. April New York Questionnaire

Moral Values Take Back Seat to Partisanship and the Economy In 2004 Presidential Election

The Budget Battle in the Republican-Obama Battleground

I-4 Hispanics of Puerto Rican Origin Puerto Rico Statehood Council Dates: 8/20 9/4/ interviews / MoE +/- 4.9%

PEW RESEARCH CENTER FOR THE PEOPLE AND THE PRESS IN ASSOCIATION WITH THE ASSOCIATED PRESS NOVEMBER 2007 PRIMARY STATES POLL FINAL DEMOCRATIC TOPLINE

Update on OFA Grassroots Organizing: Voter Registration and Early Voting

THE FIELD POLL. UCB Contact

Likely General Election Voter Survey

The 2005 Ohio Ballot Initiatives: Public Opinion on Issues 1-5. Ray C. Bliss Institute of Applied Politics University of Akron.

How unmarried women, youth and people of color defined this election. November 8, 2012

Clinton Leads by 13% in Michigan before Last Debate (Clinton 51% - Trump 38%- Johnson 6% - Stein 2%)

Unit #2: Political Beliefs/Political Behaviors AP US Government & Politics Mr. Coia

Transcription:

Data Dictionary Online Segments From its database of over 230 million American voters and consumers, i360 offers advanced online segments, custom-tailored for the pro-business political and advocacy communities. The segments offered in this document are available separately or in combination, allowing for the most accurate individual level cookie, site and mobile targeting currently available.

REGISTRATION & PARTISANSHIP REGISTRATION STATUS Individuals who are registered to vote in the state in which they reside; Collected nationwide at the state and municipal levels. Individuals who are newly registered voters in the state in which they live vote. PARTISANSHIP Individuals who are considered Republican or Conservative based on state party registration, partisan primary ballot voting, historical ID work and the i360 National Partisan Model1. Individuals who are considered Independent-leaning or Swing voters based on state registration, historical ID work and the i360 National Partisan Model1. Individuals who are considered Democratic or Liberal based on state party registration, partisan primary ballot voting, historical ID work and the i360 National Partisan Model1. Individuals who are likely to be Swing Republican voters based on the i360 National Partisan Model1; These voters tend to lean toward Republican or Conservative issues and ideas, but not consistently and are therefore a key segment for persuasion. Individuals who are likely to be Swing Democratic voters based on the i360 National Partisan Model1; These voters tend to lean toward Democratic or Liberal issues and ideas, but not consistently and are therefore a key segment for persuasion. PRIMARY VOTERS Individuals who have voted in one or more recent primary elections based on state and municipal voter history records collected nationwide. Individuals who are registered to vote and who have voted in one or more recent primary elections and are considered Republican / Conservative voters based on state party registration, partisan primary ballot voting, historical ID work and the i360 National Partisan Model1. Individuals who are registered to vote and who have voted in one or more recent primary elections and are considered Democratic / Liberal voters based on state party registration, partisan primary ballot voting, historical ID work and the i360 National Partisan Model1. i360 DATA DICTIONARY 2

REGISTRATION & PARTISANSHIP PROPENSITY TO VOTE High Propensity Voters HIGH_PROPENSITY_VOTERS Voters who have a high-likelihood of voting in 2016; This segment consists of voters who score high on the i360 National Voter Propensity Model2. Mid Propensity Voters MID_PROPENSITY_VOTERS Voters who have a medium-likelihood of voting in 2016; This segment consists of voters who fall in the middle ranges of the i360 National Voter Propensity Model2. Low Propensity Voters LOW_PROPENSITY_VOTERS Voters who have a low-likelihood of voting in 2016; This segment consists of voters who score low on the i360 National Voter Propensity Model2. 201 First Time Voters 201 _FIRST_TIME_VOTERS vote history available; Voters are likely to have been newly registered. 2016 Likely General Voters 2016_LIKELY_GENERAL_VOTERS Voters considered likely to turn out and vote in the 2016 election based on previous vote history as well as the i360 National Propensity Model2. Early / Absentee Voters EARLY_ABSENTEE_VOTERS Voters who have previously cast ballots via absentee mail or early in person and therefor are likely to do so again in upcoming elections; Data is based on state and municipal voter history records collected nationwide as well as permanent absentee voting lists obtained at the state level and collected nationwide. Presidential Year Only, General Voters PRESIDENTIAL_YEAR_ONLY_ VOTERS Voters who only turn out in Presidential Year elections based on previous vote history as well as the i360 National Propensity Model2. PERSUADABILITY Likely Undecided Voters Tier 1 UNDECIDED_MIDDLE Likely Undecided Voters Tier 2 (GOP) UNDECIDED_GOP Likely Undecided Voters Tier 3 (Dem) UNDECIDED_DEM Non-Persuadable NON_PERSUADABLE Individuals who are likely to be Undecided voters, based on the i360 National Undecided Model8; This modeled segment isolates those voters who are likely key segment for persuasion. Individuals who are likely to be Undecided voters, based on the i360 National Undecided Model8, but lean more toward Republican or Conservative candidates and issues; This modeled segment isolates those voters who are likely to not be segment for persuasion. Individuals who are likely to be Undecided voters, based on the i360 National Undecided Model8, but lean more toward Democratic candidates and issues; This modeled segment isolates those voters who are likely to not be committed for persuasion. Individuals who are likely to be decided or committed voters to either Republican or Democratic candidates and issues, based on the i360 National Undecided Model8; Segment valuable for exclusion purposes. i360 DATA DICTIONARY 3

ISSUE SEGMENTS ECONOMIC ISSUES Fiscally Conservative Spending & Debt FISCAL_CONSERVATIVE_SPEND ive on the issues of spending and debt; This segment consists of voters and consumers who score high on the i360 National Spending Model4. Fiscally Conservative Tax FISCAL_CONSERVATIVE_TAX Individuals who have a high-likelihood of being fiscally conservative on the issues of spending and debt; This segment consists of voters and consumers who score high on the i360 National Tax Model3. Fiscally Liberal - Spending & Debt FISCAL_LIBERAL_SPEND the issues of spending and debt; This segment consists of voters and consumers who score low on the i360 National Spending Model4. Fiscally Liberal Tax FISCAL_LIBERAL_TAX the issue of taxation; This segment consists of voters and consumers who score low on the i360 National Tax Model3. SOCIAL ISSUES Likely Pro-Choice PRO_CHOICE Individuals who have a high-likelihood of being pro-choice; This segment consists of voters and consumers who score low on the i360 National Life Model5. Likely Pro-Life PRO_LIFE Individuals who have a high-likelihood of being pro-life; This segment consists of voters and consumers who score high on the i360 National Life Model5. Likely Supportive of Same Sex Marriage PRO_MARRIAGE_SAMESEX Individuals who have a high-likelihood of supporting same sex marriage; This segment consists of voters and consumers who score low on the i360 National Marriage Model6. Likely Supportive of Traditional Marriage PRO_MARRIAGE_TRADITIONAL Individuals who have a high-likelihood of supporting traditional marriage; This segment consists of voters and consumers who score high on the i360 National Marriage Model6. 2ND AMENDMENT Pro-2nd Amendment PRO_2ND_AMENDMENT Individuals who support 2nd Amendment rights. Segment is based on survey OBAMACARE Oppose Obamacare OPPOSE_OBAMACARE Voters who likely oppose Obamacare or the Affordable Care Act based on the i360 National Healthcare Model7. Support Obamacare PRO_OBAMACARE Individuals who score low on the i360 National Healthcare Model7 and are likely in favor and support Obamacare or the Affordable Care Act. Undecided on Obamacare SWING_OBAMACARE Voters who fall in the mid-range of the i360 National Healthcare Model7 and are likely to be undecided or persuadable on issues related to Obamacare or the Affordable Care Act. i360 DATA DICTIONARY 4

ISSUE SEGMENTS MINIMUM WAGE For Raising Minimum Wage RAISE_MINIMUM_WAGE Individuals who have a high likelihood of supporting a minimum wage increase by government based on the i360 National Minimum Wage Model. Against Raising Minimum Wage LOWER_MINIMUM_WAGE Individuals who have a high likelihood of opposing a minimum wage increase by government based on the i360 National Minimum Wage Model. IMMIGRATION For Immigration Reform IMMIGRATION_REFORM_FOR Individuals who have a high likelihood of supporting the stance that undocumented immigrants should be required to leave the United States based on the i360 National Immigration Model. Against Immigration Reform IMMIGRATION_REFORM_AGAINST Individuals who have a high likelihood of opposing the stance that undocumented immigrants should be required to leave the United States based on the i360 National Immigration Model. CRIMINAL JUSTICE For Criminal Justice Reform CRIMINAL_JUSTICE_FOR Individuals who have a high likelihood of supporting major reforms in the criminal justice system based on the i360 Criminal Justice Model. Against Criminal Justice Reform CRIMINAL_JUSTICE_AGAINST Individuals who have a high likelihood of opposing major reforms in the criminal justice system based on the i360 Criminal Justice Model. ENERGY Pro Traditional Energy PRO_TRADITIONAL_ENERGY Individuals who have a high likelihood of agreeing government s number one priority should be affordable and reliable energy as opposed to protecting the environment based on the the i360 National Energy Model. Pro Green Energy PRO_GREEN_ENERGY Individuals who have a high likelihood of agreeing government s number one priority should be protecting the environment as opposed to affordable and reliable energy based on the the i360 National Energy Model. GUN CONTROL For Gun Control GUN_CONTROL_FOR Individuals who have a high likelihood of supporting stricter gun control laws based on the the i360 National Gun Control Model. Against Gun Control GUN_CONTROL_AGAINST Individuals who have a high likelihood of opposing stricter gun control laws based on the the i360 National Gun Control Model. i360 DATA DICTIONARY 5

ISSUE SEGMENTS FOREIGN INTERVENTION Pro Foreign Intervention PRO_FOREIGN_INTERVETION Individuals who have a high likelihood of supporting the US intervening in foreign affairs even if that means sending US troops overseas based on the the i360 National Foreign Intervention Model. Against Foreign Intervention AGAINST_FOREIGN_INTERVENTION Individuals who have a high likelihood of opposing the US intervening in foreign affairs even if that means sending US troops overseas based on the the i360 National Foreign Intervention Model. COMMON CORE Support Common Core i360_commoncore_for Individuals who have a high likelihood of supporting Common Core based on the i360 National Common Core Model. Oppose Common Core i360_commoncore_against Individuals who have a high likelihood of opposing Common Core based on the i360 National Common Core Model. i360 ISSUE CLUSTER MODELS Top Issue - Education i360_topissue_education Individuals indicated as likely to state that Education is in their top three issues in deciding who to support for President of the United States. Top Issue - Energy i360_topissue_energy_environment Individuals indicated as likely to state that Energy or the Environment is in their top three issues in deciding who to support for President of the United States. Top Issue - Guns i360_topissue_guns Individuals indicated as likely to state that Gun Control is in their top three issues in deciding who to support for President of the United States. Top Issue - Healthcare i360_topissue_healthcare Individuals indicated as likely to state that Healthcare is in their top three issues in deciding who to support for President of the United States. Top Issue - Immigration i360_topissue_immigration Individuals indicated as likely to state that Immigration is in their top three issues in deciding who to support for President of the United States. Top Issue - National Defense i360_topissue_nationdefense Individuals indicated as likely to state that National Defense is in their top three issues in deciding who to support for President of the United States. Top Issue - Social i360_topissue_social Individuals indicated as likely to state that Social issues are in their top three issues in deciding who to support for President of the United States. Top Issue - Taxes & Debt i360_topissue_taxes_debt Individuals indicated as likely to state that Taxes and Debt are in their top three issues in deciding who to support for President of the United States. i360 DATA DICTIONARY 6

DEMOGRAPHIC SEGMENTS STANDARD DEMOGRAPHICS Age 18 to 29 AGE_18_TO_29 Individuals with ages between 18 and 29. Age 30 to 44 AGE_30_TO_44 Individuals with ages between 30 and 44. Age 45 to 54 AGE_45_TO_54 Individuals with ages between 45 and 54. Age 55 to 64 AGE_55_TO_64 Individuals with ages between 55 and 64. Age 65 and Above AGE_65PLUS Individuals with ages over 65. Females GENDER_FEMALE Individuals who are female. Males GENDER_MALE Individuals who are male. Hispanics HISPANICS Individuals who are Hispanic in heritage, either reported directly or based on modeled data. Hispanics Spanish Speaking HISPANICS_SPEAKING Individuals who are likely to speak Spanish based on self-reporting and modeling. Catholics CATHOLIC Individuals who are likely Catholic based on self-reporting and consumer modeling. Jewish JEWISH Individuals who are likely Jewish based on self-reporting and consumer modeling. Military Veterans VETERAN_IN_HH Individuals who live in households with a military veteran. Information is gathered based on survey response data, purchase information and publically available tax exemption data. VOTER INCOME High Income / Wealth HIGH_INCOME_WEALTH Individuals with a family income of over $150,000 a year or having a net wealth of over $400,000 in assets. Low Income / Wealth LOW_INCOME_WEALTH Individuals with a family income less than $60,000 a year or having a net wealth of less than $60,000 in assets. Middle Income / Wealth MID_INCOME_WEALTH Individuals with a family income between $60,000 and $150,000 a year or having a net wealth of $60,000 to $400,000 in assets. i360 DATA DICTIONARY 7

DEMOGRAPHIC SEGMENTS HOME, CHILDREN AND MARITAL STATUS Home Owner HOME_OWNER Individuals who own the home they reside in. Voters with Children HAS_CHILDREN Individuals who live in households with at least 1 child under the age of 18. Likely Married LIKELY_MARRIED Individuals who are likely married. Likely Single LIKELY_SINGLE Individuals who are likely single. GIVING AND INVESTMENT Political Donors POLITICAL_DONOR Individuals who have contributed to political causes or have expressed interest in contributing. Charitable Giving CHARITY_DONOR Individuals that have donated to charitable causes. Investors INVESTORS Individuals that invest in stocks, bonds or funds. INTERESTS Sports Interest SPORTS Individuals interested in sports (baseball, basketball, tennis, football, hockey, etc.). Gambling / Sweepstakes GAMBLER Individuals interested in gambling. i360 NATIONAL MODELS i360 NATIONAL PARTISAN MODEL The Partisan Model generates a score that measures the strength of an individual s relative likelihood to ideologically align with one of the two major political parties. This score is a numerical value between 0 and 1, with values near 1 indicating strong association with the Republican Party and values closer to 0 indicating strong association with the Democratic Party. The Partisan Model score ranks individuals by calculated strength of association; it does NOT indicate a probability. i360 NATIONAL PROPENSITY MODEL The Propensity Model generates a score that measures the strength of an individual s relative likelihood to turn out and vote in the 2016 general election. This score is a numerical value between 0 and 1, with values near 1 indicating strong likelihood to turn out and vote and values closer to 0 indicating low likelihood. The Propensity Model score ranks individuals by calculated strength of association; it does NOT indicate a probability. i360 DATA DICTIONARY 8

i360 NATIONAL MODELS i360 NATIONAL TAX MODEL The Tax Model generates a score that measures an individual s relative likelihood to support tax decreases. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to support across the board tax decreases and values near 0 indicating weak predisposition. The Tax Model score ranks individuals by calculated strength in predisposition; it does NOT indicate a probability. i360 NATIONAL SPENDING MODEL The Spending Model generates a score that measures an individual s relative likelihood to support cuts in government spending. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to support across the board cuts in government spending and values near 0 indicating weak predisposition. The Spending Model score ranks individuals by calculated strength in predisposition; it does NOT indicate a probability. i360 NATIONAL LIFE MODEL The Life Model generates a score that measures the strength of an individual s relative likelihood to take a pro-life position. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to take a pro-life position and values near 0 indicating weak predisposition. The Life Model score ranks individuals by calculated strength in predisposition; it does NOT indicate a probability. i360 NATIONAL MARRIAGE MODEL The Marriage Model generates a score that measures the strength of an individual s relative likelihood to support traditional marriage. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to supporting laws that preserve traditional marriage and values near 0 indicating weak predisposition. The Marriage Model score ranks individuals by calculated strength in predisposition; it does NOT indicate a probability. i360 NATIONAL HEALTHCARE MODEL The Healthcare Model generates a score that measures an individual s relative likelihood to oppose the Affordable Care Act passed in 2010 and signed into law by President Obama. This score is a numerical value between 0 and 1, with values near 1 indicating strong opposition to the law and values closer to 0 indicating strong support. The Healthcare Model score ranks individuals by calculated strength of association; it does NOT indicate a probability. i360 NATIONAL UNDECIDED MODEL The Undecided model attempts to categorize undecided voters who might likely be swayed to vote for a conservative or liberal candidate, if persuaded. This scale is based on people self-identifying themselves as Undecided when that choice is explicitly offered in a generic ballot poll for the 2016 congressional elections. Based on this classification, the model attempts to identify others with similar characteristics and those voters which are most similar are included in the undecided segment. i360 ISSUE CLUSTER MODEL The Issue Cluster Model generates a class indicating that an individual is likely to state the given issue is in their top three in deciding who to support for President of the United States. The classes assigned by the Issue Cluster Model are Education, Energy/Environment, Fiscal (Tax and Spending), Guns, Healthcare, Immigration, National Defense and Social (Life and Marriage). MINIMUM WAGE MODEL The Minimum Wage Model generates a score that measures the strength of an individual s relative likelihood to oppose a minimum wage increase by government. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to opposing a minimum wage increase by government and values near 0 indicating strong predisposition to supporting a raise. GUN CONTROL MODEL The Gun Model generates a score that measures the strength of an individual s relative likelihood to opposing stricter gun control laws in the United States. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to opposing stricter gun control laws and values near 0 indicating strong predisposition to supporting stricter gun control laws. i360 DATA DICTIONARY 9

i360 NATIONAL MODELS ENERGY MODEL The Energy Model generates a score that measures the strength of an individual s relative likelihood to agreeing government s number one priority should be affordable and reliable energy as opposed to protecting the environment. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to agreeing government s number one priority is affordable energy and values near 0 indicating strong predisposition to agreeing government s number one priority is to protect the environment. FOREIGN INTERVENTION MODEL The Foreign Intervention Model generates a score that measures the strength of an individual s relative likelihood to support the US intervening in foreign affairs even if that means sending US troops overseas. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to support the US intervening in foreign affairs militarily and values near 0 indicating strong predisposition to opposing any military involvement by the United States. IMMIGRATION MODEL The Immigration Model generates a score that measures the strength of an individual s relative likelihood to support that undocumented immigrants should be required to leave the United States. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to supporting that undocumented immigrants should be required to leave the United States and values near 0 indicating strong predisposition to supporting that undocumented immigrants should be allowed to stay in the United States and eventually apply for citizenship. CRIMINAL JUSTICE MODEL The Criminal Justice Model generates a score that measures the strength of an individual s relative likelihood to supporting major reforms in the criminal justice system. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to supporting criminal justice reforms and values near 0 indicating strong predisposition to supporting that no reforms are needed. COMMON CORE MODEL The Common Core Model generates a score that measures the strength of an individual s relative likelihood to oppose Common Core which refers to the new national education standards for teaching reading, writing and math in grades K through 12. The score is a numerical value between 0 and 1, with values near 1 indicating strong predisposition to opposing Common Core and values near 0 indicating strong predisposition to supporting Common Core. i360 DATA DICTIONARY 10