SlideShare a Scribd company logo
Strategic Message Analysis Maximum Difference Analysis Multivariate Solutions www.mvsolution.com Michael Lieberman [email_address]
The Challenge ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Maximum Difference Analysis Basics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Maximum Difference Analysis Scoring ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Maximum Difference Survey Structure ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Maximum Difference Survey Structure Below are three potential choice scenarios.         Least Important Factor Most Important   Increasing funding for local schools x   Creating more electricity to meet increasing demand     Protecting Social Security and Medicare   x Restricting the sale of handguns               Least Important Factor Most Important   Ensuring everyone has access to affordable health care     Protecting the environment x   Improving the local transportation system and reducing traffic congestion   x Keeping taxes and government spending down         Least Important Factor Most Important   Protecting Social Security and Medicare   x Fighting and preventing crime     Restricting the sale of handguns     Creating more electricity to meet increasing demand x
Maximum-Difference Analysis Strategic Message Mean Scores Exciters Desirable Secondary Messages Neutral No effect
Maximum-Difference Analysis 'Most Appealing' vs. 'Least Appealing' Percentage Total Sample The larger the contrast between 'Most Appealing' (blue), and 'Least Appealing' (red), the more desirable the attribute.
Maximum-Difference Analysis 'Most Appealing' vs. 'Least Appealing' Percentage Total Sample The larger the contrast between 'Most Appealing' (blue), and 'Least Appealing' (red), the more desirable the attribute.
Maximum Difference Analysis First Level Conclusions ,[object Object],[object Object],[object Object],[object Object],[object Object]

More Related Content

What's hot

Prediction of potential customers for term deposit
Prediction of potential customers for term depositPrediction of potential customers for term deposit
Prediction of potential customers for term deposit
Pranov Mishra
 
Survey analytics conjointanalysis_1
Survey analytics conjointanalysis_1Survey analytics conjointanalysis_1
Survey analytics conjointanalysis_1
QuestionPro
 
Explainable AI
Explainable AIExplainable AI
Explainable AI
Wagston Staehler
 
Anomaly detection- Credit Card Fraud Detection
Anomaly detection- Credit Card Fraud DetectionAnomaly detection- Credit Card Fraud Detection
Anomaly detection- Credit Card Fraud Detection
Lipsa Panda
 
Scott Lundberg, Microsoft Research - Explainable Machine Learning with Shaple...
Scott Lundberg, Microsoft Research - Explainable Machine Learning with Shaple...Scott Lundberg, Microsoft Research - Explainable Machine Learning with Shaple...
Scott Lundberg, Microsoft Research - Explainable Machine Learning with Shaple...
Sri Ambati
 
Reduction in customer complaints - Mortgage Industry
Reduction in customer complaints - Mortgage IndustryReduction in customer complaints - Mortgage Industry
Reduction in customer complaints - Mortgage Industry
Pranov Mishra
 
Causal Inference in Marketing
Causal Inference in MarketingCausal Inference in Marketing
Causal Inference in Marketing
Ta-Wei (David) Huang
 
The Practice of Data Driven Products in Kuaishou
The Practice of Data Driven Products in KuaishouThe Practice of Data Driven Products in Kuaishou
The Practice of Data Driven Products in Kuaishou
Jay (Jianqiang) Wang
 
H2O World - Top 10 Data Science Pitfalls - Mark Landry
H2O World - Top 10 Data Science Pitfalls - Mark LandryH2O World - Top 10 Data Science Pitfalls - Mark Landry
H2O World - Top 10 Data Science Pitfalls - Mark Landry
Sri Ambati
 
03 Prioritizing Responses for a DoE
03 Prioritizing Responses for a DoE 03 Prioritizing Responses for a DoE
03 Prioritizing Responses for a DoE
Stefan Moser
 
Conjoint Analysis Alternatives in Questionnaire Design
Conjoint Analysis Alternatives in Questionnaire DesignConjoint Analysis Alternatives in Questionnaire Design
Conjoint Analysis Alternatives in Questionnaire Design
Laurie Gelb
 
Sentiment analysis presentation
Sentiment analysis presentationSentiment analysis presentation
Sentiment analysis presentation
GunjanSrivastava23
 
Causality without headaches
Causality without headachesCausality without headaches
Causality without headaches
Benoît Rostykus
 
1030 track 2 barrett_using our laptop
1030 track 2 barrett_using our laptop1030 track 2 barrett_using our laptop
1030 track 2 barrett_using our laptop
Rising Media, Inc.
 
DoWhy Python library for causal inference: An End-to-End tool
DoWhy Python library for causal inference: An End-to-End toolDoWhy Python library for causal inference: An End-to-End tool
DoWhy Python library for causal inference: An End-to-End tool
Amit Sharma
 
Introduction to regression
Introduction to regressionIntroduction to regression
Introduction to regression
Dr. C.V. Suresh Babu
 
Risk Management in Data Analysis
Risk Management in Data AnalysisRisk Management in Data Analysis
Risk Management in Data Analysis
David Lee
 
Artelnics
ArtelnicsArtelnics
Artelnics
Neural Designer
 
Fairness and Transparency in Machine Learning
Fairness and Transparency in Machine LearningFairness and Transparency in Machine Learning
Fairness and Transparency in Machine Learning
Andreas Dewes
 
Hypothesis driven development - Alexander Bertholds, APPRL
Hypothesis driven development - Alexander Bertholds, APPRLHypothesis driven development - Alexander Bertholds, APPRL
Hypothesis driven development - Alexander Bertholds, APPRL
UXDXConf
 

What's hot (20)

Prediction of potential customers for term deposit
Prediction of potential customers for term depositPrediction of potential customers for term deposit
Prediction of potential customers for term deposit
 
Survey analytics conjointanalysis_1
Survey analytics conjointanalysis_1Survey analytics conjointanalysis_1
Survey analytics conjointanalysis_1
 
Explainable AI
Explainable AIExplainable AI
Explainable AI
 
Anomaly detection- Credit Card Fraud Detection
Anomaly detection- Credit Card Fraud DetectionAnomaly detection- Credit Card Fraud Detection
Anomaly detection- Credit Card Fraud Detection
 
Scott Lundberg, Microsoft Research - Explainable Machine Learning with Shaple...
Scott Lundberg, Microsoft Research - Explainable Machine Learning with Shaple...Scott Lundberg, Microsoft Research - Explainable Machine Learning with Shaple...
Scott Lundberg, Microsoft Research - Explainable Machine Learning with Shaple...
 
Reduction in customer complaints - Mortgage Industry
Reduction in customer complaints - Mortgage IndustryReduction in customer complaints - Mortgage Industry
Reduction in customer complaints - Mortgage Industry
 
Causal Inference in Marketing
Causal Inference in MarketingCausal Inference in Marketing
Causal Inference in Marketing
 
The Practice of Data Driven Products in Kuaishou
The Practice of Data Driven Products in KuaishouThe Practice of Data Driven Products in Kuaishou
The Practice of Data Driven Products in Kuaishou
 
H2O World - Top 10 Data Science Pitfalls - Mark Landry
H2O World - Top 10 Data Science Pitfalls - Mark LandryH2O World - Top 10 Data Science Pitfalls - Mark Landry
H2O World - Top 10 Data Science Pitfalls - Mark Landry
 
03 Prioritizing Responses for a DoE
03 Prioritizing Responses for a DoE 03 Prioritizing Responses for a DoE
03 Prioritizing Responses for a DoE
 
Conjoint Analysis Alternatives in Questionnaire Design
Conjoint Analysis Alternatives in Questionnaire DesignConjoint Analysis Alternatives in Questionnaire Design
Conjoint Analysis Alternatives in Questionnaire Design
 
Sentiment analysis presentation
Sentiment analysis presentationSentiment analysis presentation
Sentiment analysis presentation
 
Causality without headaches
Causality without headachesCausality without headaches
Causality without headaches
 
1030 track 2 barrett_using our laptop
1030 track 2 barrett_using our laptop1030 track 2 barrett_using our laptop
1030 track 2 barrett_using our laptop
 
DoWhy Python library for causal inference: An End-to-End tool
DoWhy Python library for causal inference: An End-to-End toolDoWhy Python library for causal inference: An End-to-End tool
DoWhy Python library for causal inference: An End-to-End tool
 
Introduction to regression
Introduction to regressionIntroduction to regression
Introduction to regression
 
Risk Management in Data Analysis
Risk Management in Data AnalysisRisk Management in Data Analysis
Risk Management in Data Analysis
 
Artelnics
ArtelnicsArtelnics
Artelnics
 
Fairness and Transparency in Machine Learning
Fairness and Transparency in Machine LearningFairness and Transparency in Machine Learning
Fairness and Transparency in Machine Learning
 
Hypothesis driven development - Alexander Bertholds, APPRL
Hypothesis driven development - Alexander Bertholds, APPRLHypothesis driven development - Alexander Bertholds, APPRL
Hypothesis driven development - Alexander Bertholds, APPRL
 

Similar to Maximum Difference Statistical Analysis For Determining Political Campaign Messages 2010

Giving You the Edge - The Science of Winning Elections
Giving You the Edge - The Science of Winning Elections Giving You the Edge - The Science of Winning Elections
Giving You the Edge - The Science of Winning Elections
Michael Lieberman
 
Strategy ToolKit
Strategy ToolKitStrategy ToolKit
Strategy ToolKit
Flevy.com Best Practices
 
8 M&E: Data Sources
8 M&E: Data Sources8 M&E: Data Sources
8 M&E: Data Sources
Tony
 
« PreviousHomeNext »Home » Measurement » Levels of Measure.docx
« PreviousHomeNext »Home » Measurement » Levels of Measure.docx« PreviousHomeNext »Home » Measurement » Levels of Measure.docx
« PreviousHomeNext »Home » Measurement » Levels of Measure.docx
odiliagilby
 
Top of FormA random telephone survey of  adults (aged  and older.docx
Top of FormA random telephone survey of  adults (aged  and older.docxTop of FormA random telephone survey of  adults (aged  and older.docx
Top of FormA random telephone survey of  adults (aged  and older.docx
turveycharlyn
 
Impact Survey Telecom 2
Impact Survey Telecom 2Impact Survey Telecom 2
Impact Survey Telecom 2bpost
 
Analytical Strategies For Energy Marketing
Analytical Strategies For Energy MarketingAnalytical Strategies For Energy Marketing
Analytical Strategies For Energy Marketing
martyagius
 
quantitative methods in market research
quantitative methods in market researchquantitative methods in market research
quantitative methods in market research
Paniz Donyadari
 
what is statistics? Mc Graw Hills/Irwin
what is statistics? Mc Graw Hills/Irwinwhat is statistics? Mc Graw Hills/Irwin
what is statistics? Mc Graw Hills/IrwinMaryam Xahra
 
Adv 206 spring 14 class 9 strat research 2
Adv 206 spring 14 class 9 strat research 2Adv 206 spring 14 class 9 strat research 2
Adv 206 spring 14 class 9 strat research 2Lucas Spain
 
Scenario You are a lieutenant in charge of an undercove.docx
Scenario       You are a lieutenant in charge of an undercove.docxScenario       You are a lieutenant in charge of an undercove.docx
Scenario You are a lieutenant in charge of an undercove.docx
kenjordan97598
 
Real Estate Executive Summary (MKT460 Lab #5)
Real Estate Executive Summary (MKT460 Lab #5)Real Estate Executive Summary (MKT460 Lab #5)
Real Estate Executive Summary (MKT460 Lab #5)
Mira McKee
 
PSPP software application
PSPP software applicationPSPP software application
PSPP software application
Teetut Tresirichod
 
Substance Abuse Mason, Michigan
Substance Abuse Mason, MichiganSubstance Abuse Mason, Michigan
Substance Abuse Mason, Michigan
recoveryrestart2
 
10 Things to Know about Net Promoter ScoresPRES
10 Things to Know about Net Promoter ScoresPRES10 Things to Know about Net Promoter ScoresPRES
10 Things to Know about Net Promoter ScoresPRESEd Smith
 
P LOVES E
P LOVES EP LOVES E
P LOVES E
bpost
 
Facts, Figures & Fictions
Facts, Figures & Fictions Facts, Figures & Fictions
Facts, Figures & Fictions
Johnbillett.com
 
Questionnaire design dr. s l gupta
Questionnaire design dr. s l guptaQuestionnaire design dr. s l gupta
Questionnaire design dr. s l guptaRavindra Sharma
 

Similar to Maximum Difference Statistical Analysis For Determining Political Campaign Messages 2010 (20)

Giving You the Edge - The Science of Winning Elections
Giving You the Edge - The Science of Winning Elections Giving You the Edge - The Science of Winning Elections
Giving You the Edge - The Science of Winning Elections
 
Strategy ToolKit
Strategy ToolKitStrategy ToolKit
Strategy ToolKit
 
8 M&E: Data Sources
8 M&E: Data Sources8 M&E: Data Sources
8 M&E: Data Sources
 
« PreviousHomeNext »Home » Measurement » Levels of Measure.docx
« PreviousHomeNext »Home » Measurement » Levels of Measure.docx« PreviousHomeNext »Home » Measurement » Levels of Measure.docx
« PreviousHomeNext »Home » Measurement » Levels of Measure.docx
 
Top of FormA random telephone survey of  adults (aged  and older.docx
Top of FormA random telephone survey of  adults (aged  and older.docxTop of FormA random telephone survey of  adults (aged  and older.docx
Top of FormA random telephone survey of  adults (aged  and older.docx
 
Impact Survey Telecom 2
Impact Survey Telecom 2Impact Survey Telecom 2
Impact Survey Telecom 2
 
Analytical Strategies For Energy Marketing
Analytical Strategies For Energy MarketingAnalytical Strategies For Energy Marketing
Analytical Strategies For Energy Marketing
 
quantitative methods in market research
quantitative methods in market researchquantitative methods in market research
quantitative methods in market research
 
Chapter 11
Chapter 11Chapter 11
Chapter 11
 
what is statistics? Mc Graw Hills/Irwin
what is statistics? Mc Graw Hills/Irwinwhat is statistics? Mc Graw Hills/Irwin
what is statistics? Mc Graw Hills/Irwin
 
Adv 206 spring 14 class 9 strat research 2
Adv 206 spring 14 class 9 strat research 2Adv 206 spring 14 class 9 strat research 2
Adv 206 spring 14 class 9 strat research 2
 
Scenario You are a lieutenant in charge of an undercove.docx
Scenario       You are a lieutenant in charge of an undercove.docxScenario       You are a lieutenant in charge of an undercove.docx
Scenario You are a lieutenant in charge of an undercove.docx
 
Real Estate Executive Summary (MKT460 Lab #5)
Real Estate Executive Summary (MKT460 Lab #5)Real Estate Executive Summary (MKT460 Lab #5)
Real Estate Executive Summary (MKT460 Lab #5)
 
PSPP software application
PSPP software applicationPSPP software application
PSPP software application
 
Substance Abuse Mason, Michigan
Substance Abuse Mason, MichiganSubstance Abuse Mason, Michigan
Substance Abuse Mason, Michigan
 
10 Things to Know about Net Promoter ScoresPRES
10 Things to Know about Net Promoter ScoresPRES10 Things to Know about Net Promoter ScoresPRES
10 Things to Know about Net Promoter ScoresPRES
 
P LOVES E
P LOVES EP LOVES E
P LOVES E
 
Facts, Figures & Fictions
Facts, Figures & Fictions Facts, Figures & Fictions
Facts, Figures & Fictions
 
Data Day 2012_Roman_Intro to Survey Data Collection
Data Day 2012_Roman_Intro to Survey Data CollectionData Day 2012_Roman_Intro to Survey Data Collection
Data Day 2012_Roman_Intro to Survey Data Collection
 
Questionnaire design dr. s l gupta
Questionnaire design dr. s l guptaQuestionnaire design dr. s l gupta
Questionnaire design dr. s l gupta
 

Recently uploaded

Hogan Comes Home: an MIA WWII crewman is returned
Hogan Comes Home: an MIA WWII crewman is returnedHogan Comes Home: an MIA WWII crewman is returned
Hogan Comes Home: an MIA WWII crewman is returned
rbakerj2
 
Codes n Conventionss copy (1).paaaaaaptx
Codes n Conventionss copy (1).paaaaaaptxCodes n Conventionss copy (1).paaaaaaptx
Codes n Conventionss copy (1).paaaaaaptx
ZackSpencer3
 
Do Linguistics Still Matter in the Age of Large Language Models.pptx
Do Linguistics Still Matter in the Age of Large Language Models.pptxDo Linguistics Still Matter in the Age of Large Language Models.pptx
Do Linguistics Still Matter in the Age of Large Language Models.pptx
Slator- Language Industry Intelligence
 
2024 is the point of certainty. Forecast of UIF experts
2024 is the point of certainty. Forecast of UIF experts2024 is the point of certainty. Forecast of UIF experts
2024 is the point of certainty. Forecast of UIF experts
olaola5673
 
role of women and girls in various terror groups
role of women and girls in various terror groupsrole of women and girls in various terror groups
role of women and girls in various terror groups
sadiakorobi2
 
Preview of Court Document for Iseyin community
Preview of Court Document for Iseyin communityPreview of Court Document for Iseyin community
Preview of Court Document for Iseyin community
contact193699
 
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdfSharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
bhavenpr
 
Draft-1-Resolutions-Key-Interventions-.pdf
Draft-1-Resolutions-Key-Interventions-.pdfDraft-1-Resolutions-Key-Interventions-.pdf
Draft-1-Resolutions-Key-Interventions-.pdf
bhavenpr
 
03062024_First India Newspaper Jaipur.pdf
03062024_First India Newspaper Jaipur.pdf03062024_First India Newspaper Jaipur.pdf
03062024_First India Newspaper Jaipur.pdf
FIRST INDIA
 
01062024_First India Newspaper Jaipur.pdf
01062024_First India Newspaper Jaipur.pdf01062024_First India Newspaper Jaipur.pdf
01062024_First India Newspaper Jaipur.pdf
FIRST INDIA
 
31052024_First India Newspaper Jaipur.pdf
31052024_First India Newspaper Jaipur.pdf31052024_First India Newspaper Jaipur.pdf
31052024_First India Newspaper Jaipur.pdf
FIRST INDIA
 
AI and Covert Influence Operations: Latest Trends
AI and Covert Influence Operations: Latest TrendsAI and Covert Influence Operations: Latest Trends
AI and Covert Influence Operations: Latest Trends
CI kumparan
 
Resolutions-Key-Interventions-28-May-2024.pdf
Resolutions-Key-Interventions-28-May-2024.pdfResolutions-Key-Interventions-28-May-2024.pdf
Resolutions-Key-Interventions-28-May-2024.pdf
bhavenpr
 

Recently uploaded (13)

Hogan Comes Home: an MIA WWII crewman is returned
Hogan Comes Home: an MIA WWII crewman is returnedHogan Comes Home: an MIA WWII crewman is returned
Hogan Comes Home: an MIA WWII crewman is returned
 
Codes n Conventionss copy (1).paaaaaaptx
Codes n Conventionss copy (1).paaaaaaptxCodes n Conventionss copy (1).paaaaaaptx
Codes n Conventionss copy (1).paaaaaaptx
 
Do Linguistics Still Matter in the Age of Large Language Models.pptx
Do Linguistics Still Matter in the Age of Large Language Models.pptxDo Linguistics Still Matter in the Age of Large Language Models.pptx
Do Linguistics Still Matter in the Age of Large Language Models.pptx
 
2024 is the point of certainty. Forecast of UIF experts
2024 is the point of certainty. Forecast of UIF experts2024 is the point of certainty. Forecast of UIF experts
2024 is the point of certainty. Forecast of UIF experts
 
role of women and girls in various terror groups
role of women and girls in various terror groupsrole of women and girls in various terror groups
role of women and girls in various terror groups
 
Preview of Court Document for Iseyin community
Preview of Court Document for Iseyin communityPreview of Court Document for Iseyin community
Preview of Court Document for Iseyin community
 
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdfSharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
Sharjeel-Imam-Judgement-CRLA-215-2024_29-05-2024.pdf
 
Draft-1-Resolutions-Key-Interventions-.pdf
Draft-1-Resolutions-Key-Interventions-.pdfDraft-1-Resolutions-Key-Interventions-.pdf
Draft-1-Resolutions-Key-Interventions-.pdf
 
03062024_First India Newspaper Jaipur.pdf
03062024_First India Newspaper Jaipur.pdf03062024_First India Newspaper Jaipur.pdf
03062024_First India Newspaper Jaipur.pdf
 
01062024_First India Newspaper Jaipur.pdf
01062024_First India Newspaper Jaipur.pdf01062024_First India Newspaper Jaipur.pdf
01062024_First India Newspaper Jaipur.pdf
 
31052024_First India Newspaper Jaipur.pdf
31052024_First India Newspaper Jaipur.pdf31052024_First India Newspaper Jaipur.pdf
31052024_First India Newspaper Jaipur.pdf
 
AI and Covert Influence Operations: Latest Trends
AI and Covert Influence Operations: Latest TrendsAI and Covert Influence Operations: Latest Trends
AI and Covert Influence Operations: Latest Trends
 
Resolutions-Key-Interventions-28-May-2024.pdf
Resolutions-Key-Interventions-28-May-2024.pdfResolutions-Key-Interventions-28-May-2024.pdf
Resolutions-Key-Interventions-28-May-2024.pdf
 

Maximum Difference Statistical Analysis For Determining Political Campaign Messages 2010

  • 1. Strategic Message Analysis Maximum Difference Analysis Multivariate Solutions www.mvsolution.com Michael Lieberman [email_address]
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Maximum Difference Survey Structure Below are three potential choice scenarios.         Least Important Factor Most Important   Increasing funding for local schools x   Creating more electricity to meet increasing demand     Protecting Social Security and Medicare   x Restricting the sale of handguns               Least Important Factor Most Important   Ensuring everyone has access to affordable health care     Protecting the environment x   Improving the local transportation system and reducing traffic congestion   x Keeping taxes and government spending down         Least Important Factor Most Important   Protecting Social Security and Medicare   x Fighting and preventing crime     Restricting the sale of handguns     Creating more electricity to meet increasing demand x
  • 7. Maximum-Difference Analysis Strategic Message Mean Scores Exciters Desirable Secondary Messages Neutral No effect
  • 8. Maximum-Difference Analysis 'Most Appealing' vs. 'Least Appealing' Percentage Total Sample The larger the contrast between 'Most Appealing' (blue), and 'Least Appealing' (red), the more desirable the attribute.
  • 9. Maximum-Difference Analysis 'Most Appealing' vs. 'Least Appealing' Percentage Total Sample The larger the contrast between 'Most Appealing' (blue), and 'Least Appealing' (red), the more desirable the attribute.
  • 10.

Editor's Notes

  1. 1 National Jewish Outreach Hebrew Reading Crash Course 1
  2. 2 National Jewish Outreach Hebrew Reading Crash Course
  3. 2 National Jewish Outreach Hebrew Reading Crash Course
  4. 2 National Jewish Outreach Hebrew Reading Crash Course
  5. 2 National Jewish Outreach Hebrew Reading Crash Course
  6. 2 National Jewish Outreach Hebrew Reading Crash Course
  7. 2 National Jewish Outreach Hebrew Reading Crash Course