POLLING: Statistical Case Studies for Political and Public Affairs Research is an indispensable resource for researchers, analysts, and policymakers seeking a deeper understanding of the data-driven forces shaping today’s political landscape. Through a series of real-world case studies, this book explores the practical applications of statistical methods in political campaigns, public policy analysis, and government affairs.
Likely Voters Models – The Key to Accurate Electoral Analysis examines methodologies such as self-reported voting intentions, past voting behavior, and demographic indicators. By analyzing these approaches, the chapter highlights their strengths, limitations, and effectiveness in enhancing polling accuracy.
People Analytics: Statistical Case Studies for Human Resources presents a collection of people analytics, employing statistical methods and inference to address strategic human resource challenges. It explores the motivations behind specific choices, provides graphical guidance such as what are the best incentives to draw executive talent, segmentation of employee attitudes and delves into discussions relevant to the human resource, people research, and strategic consulting sectors. Ebook Available on Amazon
A collection based on statistical methods and inference to solve strategic marketing issues, define choice motives, forecast the optimum price of items, and discuss thought within the marketing, research, and strategic consulting industries. Available on Amazon.
This article Case Study—Visualizing Value for Top General Merchandise Retailers examines a case study which measures where consumers stand on sustainability and social responsibility as applied to retail corporate behavior.
The Philosophy of Deep Data Analysis – Predictive Analytics looks at forecasting based on historical data.
As mentioned in our recent article in Greenbook, Game Theory Market Research and Divorce, game theory models are now accessible to the marketing researcher. Moreover, core skills utilized in qualitative research are perfectly suited to enter this lucrative consulting market.
The Strategic Value of Regression Analysis in Marketing Research explores the strategic importance of regression analysis to shed light on its diverse applications and benefits. Included are several different case studies to help bring the concept to life.
The article Effective Tools for People Analytics demonstrates that Deductive reasoning emerges as a superior instrument for human resource measurement compared to direct questioning. While direct inquiry can complement deductive reasoning in certain situations, its limitations make it less suitable for human resource measurement’s complex and multifaceted task.
This Greenbook article explains deductive reasoning, a logical process of drawing conclusions from premises. Statistics can support this process when data analysis and evidence-based decision-making are required. Deductive Reasoning and Effective Market Research.
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.
In The Lindy Effect and Marketing Research, Michael Lieberman explains the Lindy effect and its application to social media strategy and micro-targeting.
Data Science and Research Strategy presents on overview of the wide range of servicees offered by Multivariate Solutions.
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.
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.