This Quirks Media article, Tips For Using Johnson’s Relative Weights Analysis, explains Johnson’s relative weights analysis, a technique used to evaluate how the response (dependent) variable relates to a set of predictors when those are correlated to each other.
Small big data is consumer information held by a company, which can be leveraged with analysis, as in this Quirk’s article: Using Self Organizing Maps to Segment Small Big Data.
The article, published on MarketResearch.com, Why I Fear the Wrath of the Statistical Gods, delves into the fascinating world of statistics and the apprehension that many individuals share – the fear of incurring the wrath of the statistical gods. Statistical gods can be seen as capricious, rewarding meticulous analysis and methodological rigor, while punishing those who venture into the dangerous territories of data manipulation or misinterpretation
Social Responsibility and Ranking Brands – A Maximum Difference Application looks at the increase in brands taking social responsibility.
Using Open Source Software to Make Sense of Small Big Data explains how to apply small big data methodology and AI to produce an actionable deliverable.
The Foundations of Behavioral Economics is a user-friendly overview of behavioral economics and its relevance to the field of marketing.
In our article, The Decisiveness of Statistical Inference, we exhibit methods of measuring the accuracy of survey research to gauge brand equity, consumer sentiment, political polls, etc. In these cases we use probability samples to get our most accurate picture.
In our Greenbook blog post The Misrepresentation of Statistical Accuracy – Unethical, but Fraud?, we touch upon one of the most common areas of statistical misrepresentation, the reclassification rates of segmentation typing tools and discuss at what point do unethical practices turn into fraud?
In Advancing the Data Product, we navigate how a data company can take their inventory, collected
survey data, shopping history, or large consumer sentiment studies, and create a subscription
service. This is especially relevant as data companies seek to re-engage their vast amounts of historical data that has now become stale
The Misrepresentation of Statistical Accuracy, published in GreenBook, examines where to draw the line with fraud using a segmentation as an example.
Understand Your Brand’s Movable Middle – a Key to Growth explains how to increase this important category of buyers.
Demystifying Data Mining explores data mining methodologies.
Artificial Intelligence Needs Human Eyes: How Marketing Researchers Can Help Fill the Gap examines the future of artificial intelligence.
Data Translators – The Must Have Role for the Future brings an interesting perspective to the existential angst of many market researchers – what should my job be in an age of big data and data science? Our conception of a role of “data translator” is an intriguing one, and plays to certain historical strengths of market researchers.
The Quirk’s Marketing Research Review article, Data Fusion – How Researchers Can Create C – Suite Deliverables, discusses interpretations and presentation of predictive analytics and marketing research, which both employ data scientists.
Lloyd Shapley’s Value – Brand Research and Decision Input in the Post-Covid World discusses a fair approach to adding value.
The Quirk’s Marketing Research Review article, “Accelerating Recovery – Using Research to Manage a Brand Crisis,” offers strategies for using research as a major part of any effort to repair a brand’s reputation.
Assessing a Brand Funnel Using Comparative Discriminant Analysis explores how a brand can improve commitment to brands by using multiple sections of a survey or existing data silo input.
Data-mining Wikipedia – A New Frontier of Insights illustrates how to benefit from mapping network connections.
How to Measure Employee Fraud discusses how to ask questions to determine employee fraund levels.
In Game Theory and Consumer Choice, we explain the fundamental differences between the two game theory models.
Migration of the Marketing Analytics to the Human Resources Industry explains why HR professionals need to go beyond reporting date to analyzing company data.
Game Theory and Consumer Choice goes through one step at a time of the brand funnel.
Principles of sampling are analyzed in this guest blog post article.
A comprehensive list of articles and publications by Michael D. Lieberman.
This article, In the Numbers: How Lockdowns Prevent Breakouts, demonstrates the contribution of lockdowns to the reduction of Covid-19 infections.
Talent Management – Organizational Network Analysis examines how organizations are utilizing analytics methods to increase collaboration to ensure more efficiency and boost profits. Inter-organizational connections can take many forms, such as problem-solving relationships, decision making relationships, personal support relationships, and strategic partner relationships.
In this article, A Product Quadrant for Accurate Data Modeling, published in Quirk’s Marketing Research Review, Michael Lieberman examines how to determine which model will provide relevant business forecasting.
Combining predictive analytics with traditional employee surveys can lead to a significant decrease in employee churn. This represents a significant opportunity for market researchers to demonstrate value to corporate management, as described in this Greenbook Blog post, Boosting Employee Retention with Predictive Analytics.
Michael Lieberman is quoted in an NBC New York news article about IHOP’s name change to promote its addition of burgers to the menu.
