For some time now, market researchers have realized that the volume of behavioral and attitudinal data now being generated, literally on an hourly basis, has the potential to fundamentally change how we help our clients better understand their customers and the markets in which they compete. The technologies and tools required to access, combine, and analyze these data already exist, and marketers and advertisers are using them on a broad scale. But within the market research sector, the promise of so-called 'big data' remains unfulfilled.This webinar will explore these and related issues. We will look at some of the ways in which marketers are taking advantage of the data tsunami to create powerful new insights about consumers. We also will consider the ways in which two values that comprise the foundation of market research -validity and respect for the privacy of those whose data we process- need to be rethought in this new context. Attendees will come away with a renewed sense of what is possible when working with these data, and a clearer perspective on the challenges market researchers face as they transition their work to these new ways of developing insights.
Latest updates and a tool-kit of pragmatic pandemic recommendations.
ESOMAR has joined with our education partner, the Market Research Institute International at the University of Georgia Center for Continuing Education, to deliver a series of education-oriented webinars on some of the most popular topics in the Market Research Core Body of Knowledge.In this first session, we will focus on storytelling in which you will learn about the best story structures for reporting on research, how to determine the story structure that fits your data and your audience, and how to craft a story that inspires change and action. Jeffrey Henning, Executive Director of the MRII, long-time industry blogger, and entrepreneur gave a version of this presentation to a packed room at the Quirk's Event in Brooklyn last month. This webinar is your opportunity to hear an expanded version of Jeffrey's talk and gain practical advice for communicating research results that you can immediately apply in your work.
This paper reviews the key ethical, legal, technical and data quality challenges researchers face when working with these new data sources. Its goal is to start a conversation among researchers aimed at clarifying their responsibilities to those whose data we use in research, the clients we serve and the general public. It uses the term secondary data to mean data collected for another purpose and subsequently used in research. It expands on the traditional definition of secondary data to account for new types and sources of data made possible by new technologies and the Internet. It is used here in place of the popular but often vague term, big data, and is meant to include data from various sources, such as transactions generated when people interact with a business or government agency; postings to social media networks and the Internet of Things (IOT). It is distinct from primary data, meaning data collected by a researcher from or about an individual for the purpose of research.
After almost two decades of continued growth, the debate still continues on which key factors impact online sample quality. Here are some key steps that researchers and their clients can take to improve sampling quality when developing sampling processes ranging from online panels to routers to exchanges.
The drumbeat of "change" in market research is everywhere. Wherever you look, whatever conference you attend and whatever you read, the message is the same: Change is here; change is real; and it is going to affect you and your business. Often, this leads to the question "What does this mean for talent?", which is frequently misinterpreted to mean "What type of new talent do we need and how do we train them?". But what if it's not about us searching for new talent, but new talent ?nding us? And what if it's not about us training them, but them training us? Ask yourself this: why did over 200 new entrepreneurs enter the research and analytics space in 2012 alone? Here we explore the research talent of the future and what that implies for research itself.
The drumbeat of "change" in market research is everywhere. Wherever you look, whatever conference you attend and whatever you read, the message is the same: Change is here; change is real; and it is going to affect you and your business. Often, this leads to the question "What does this mean for talent?", which is frequently misinterpreted to mean "What type of new talent do we need and how do we train them?". But what if it's not about us searching for new talent, but new talent ?nding us? And what if it's not about us training them, but them training us? Ask yourself this: why did over 200 new entrepreneurs enter the research and analytics space in 2012 alone? Here we explore the research talent of the future and what that implies for research itself.
This paper describes an experiment in which a single questionnaire was fielded in four different styles of presentation: text only, decoratively visual, functionally visual, and gamified. Respondents were randomly assigned to only one presentation version. To understand the effect of presentation style on the survey experience and data quality, we compare response distributions, respondent behavior (such as time to complete) and self-reports regarding the survey experience and level of engagement across the four experimental presentations.
After a period of rapid growth online research has entered a period where concerns about data quality have led to widespread questioning of its validity. As a consequence, clients increasingly seek assurances that the results we produce with online studies are reliable enough to use as the basis for important business decisions. This paper considers panel data quality issue from the client's perspective and suggests a limited set of issues for clients to consider as part of a fit-for-purpose test for online. These extend beyond the usual concerns about panel recruitment and management practices. They include the interplay between the research topic and Internet penetration, the potential for mode effects, and the evaluation of online results in the broader context of other sources of industry, business, and marketing information.