Abstract

Gaining insights without questions
“Don’t Ask!,” was the title of the Association of Survey Computing (ASC) conference held on May 10 in London, with the subtitle “Gaining insights without questions.” As Pat Molloy (Triple-S), the day’s chair, reminded delegates in his introduction, Mass Observation in the UK pioneered data collection without questions back in the 1930s, their investigators being trained to observe human behavior and recorded overheard conversations, rather than ask questions. This was in the days before artificial intelligence (AI) and the advent of Codes of Conduct and privacy legislation, which changed the ethical landscape for research. However, passive data collection in market research, using technology, has a long history, with devices such as Nielsen’s People Meter (to record TV consumption). Molloy also quoted Ray Poynter’s comment at an earlier MRS conference that “clients do not need surveys, they need insight and guidance.”
The AI future
Matt Celuszak (CrowdEmotion) described some of the technologies that can measure our emotions and behavior, such as eye tracking (not a new technology as such, but the advent of webcams and sophisticated analysis software has transformed its role), facial coding, body language measures, neuroscience tools, and so on, have facilitated passive data collection methods, but, while machines recognize emotions better than humans, humans interpret emotions better than machines. As Brian Appleyard commented on neuroscience methods some years ago, it may be possible to see what my brain is doing, but you cannot tell what I’m thinking. This brought into question the skills needed for researchers in this new age and the need to help consumers understand themselves and their behavior. Pedro Almeida (Mindprober), winner of the ASC Breakthrough Technology Award in 2017, described the challenges in measuring emotions and the evolution of nervous system measures as part of a process where research fuses with electronics and data science, using small sensors to collect a range of data in-home from panel members, enabling measurement to be scalable and outside the laboratory. Almeida illustrated the capability of this technology with two case studies, one measuring advertising impact and the second focusing on reactions to a soap opera, enabling a neural network model to be built and trained to predict audience reactions. In future, this method could be combined with virtual reality tools. Finally, there are recent developments in speech technology around the unique voice-print we all have increasingly replacing passwords, discussed by Maarten Bossuyt (MyForce). Bossuyt described a future with bots administering verbal interviews based on linguistic models and automated transcriptions of open-ended questions. However, many feel uncomfortable talking to a bot, and there are ethical hurdles to address.
Ethics in an AI world
The ethical dimensions in an AI-facilitated future, and the impact of General Data Protection Regulation (GDPR), were discussed by Adam Phillips (Real Research), including enhanced sources of advice and guidance on privacy (GDPR) from both MRS and ESOMAR. Phillips also discussed the careful balance needed between regulation and stimulating innovation, reminding delegates that while trust takes years to build, it can be destroyed in seconds, as evidenced by the fortunes of Cambridge Analytica. Passive data present a particular challenge as gaining consent might be extremely difficult, with legitimate interest the possible solution for some research. While micro-segmentation has not, as yet, been subject to real scrutiny by the European Union (EU) legislators, care needs to be taken in situations where tools, such as propensity and derived models, are used to aid decision making—they need to be subject to human scrutiny. The final structure of the e-privacy directive remains unclear, and what it might mean for research.
Adding value via mobile data
Two presentations focused on the role for data sourced from mobile devices. Mark Trappmann (Institute of Employment/University of Bomberg) described the use of a smartphone app to collect data over a 6-month period to enrich survey data collected from a panel covering the labor market in Germany (PASS Panel), focusing on the impact of unemployment and poverty, and measuring/validating social capital. This explored social inclusion, coping strategies, and the day structure of unemployed people. Having real-time day enabled additional surveys to be triggered by events. The impact on the overall panel was measured through a split sample, with some caution emerging on the impact of the app. Key challenges included finding the skills to develop the app, integrating mobile outputs with survey data, keeping battery use as low as possible and minimizing transmission costs, inferring modes of transport, legal issues, predicting participation rates, and limitation to Android technologies. Hugh Neffendorf (Katalysis), Chris Wroe (Telefonica), and Aled Davies (Transport for London [TFL]) described how mobile data from the EDMOND (Estimating Demand From Mobile Network Data) project was used to develop new insights and improve traffic prediction models in London, blended with data from the TFL Household Survey panel. The mobile data are translated into events (dwells and journeys) to derive patterns of transport use and determine journey purpose, with diary data helping to verify mode. New data covered weekend travel, use of private hire taxis, and foreign visitor journeys (Telefonica customers), including nighttime location. Weaknesses include the limitation to only one mobile network, short trip data (within one cell area), purpose inferred, and mode differentiation. The data had been further enhanced from an opt-in user survey covering 2 months tracking and an online survey covering 1 week of travel, which identified inconsistencies and where phones were either switched off or left at a location. The project created useful, unique data on travel patterns; demonstrated the challenges in “mapping” urban journeys; and identified the need to be constantly vigilant about bias.
Web navigation data
The final presentation by François Erner and Denis Bonnay (respondi) described the integration of web navigation data with consumer panels operating in France, Germany, and the United Kingdom. Tracking devices are placed on all devices, via an opt-in. While the fusion provided new data that map the entire customer journey segmented by category (e.g., compare holiday preferences across airline brands), provide demographic data on web usage and competitor information, and identify influencing factors/influencers, agencies are not used to handling such data and it can be difficult to discern insight from “nice-to-have” data. Other outputs included creating a more comprehensive profile of media consumption, linking online behavior to happiness and creating a Website Performance Grid. The presenters also described their matrix-based framework for combining passive and survey data.
Integrated data need integrated skills
A very interesting day, the morning being more about tools and the afternoon sessions about data. In particular, the day demonstrated the added value of combining digital and survey data in creating a deeper understanding of behavior. So, it’s not yet a case of “Don’t Ask!.” AI, digital, and so on provides new ways to collect data that is nigh impossible to gain via surveys, but survey data remain essential in filling the gaps in knowledge that the new sources cannot deliver. This provides clients with the deeper, richer insight and guidance, which according to Poynter is what they really want. However, there are challenges in achieving this goal, some of which were described by speakers. Almeida talked about fusing research with electronics and data science—three very different communities who may find it difficult to talk a common language. So, I think that effectively managing this fused world will require a new breed of management who can successfully build, and lead, an integrated team of diverse specialists. Finally, the conference contained an especially rich international mix of speakers and experience and I hope that we will be able to reflect this by publishing some Conference Notes based on a few of the presentations in the future.
The Viewpoint in this issue continues the AI theme, with Norbert Wirth arguing the case for wider applications in marketing, and on Research-Live, you can see a recent video interview with Steve Phillips, CEO of ZappiStore, about the future for AI in a research context (https://www.research-live.com/article/news/has-market-research-made-its-peace-with-automation/id/5038672).
Political polling and democracy
Political opinion polling methodology remains under scrutiny in the United Kingdom. “Political Polling and Democracy” was the title of an afternoon seminar, held in London on June 6, organized by the National Center for Research Methods (NCRM) to discuss the recently published report, “The Politics of Polling,” based on an investigation by the House of Lords Select Committee on Political Polling and Digital Media (https://publications.parliament.uk/pa/ld201719/ldselect/ldppdm/106/10602.htm).
This investigation was launched following on from the perceived failure of the UK polling industry to adequately predict the outcomes of the general elections in 2015/2017 and the EU Referendum vote in 2016.
A summary of the findings
Patrick Sturgis (University of Southampton/NCRM) opened the seminar by describing the background to the 2015 British Polling Council (BPC)/MRS Polling inquiry, and the subsequent Lords Select Committee on Political Polling and Digital Media investigation.
Sturgis summarized the recommendations from the Lords Select Committee, identifying those specifically for the BPC:
Guidance on poll quality and information journalists should provide in reports;
Making pubic poor examples of poll reporting;
Developing a training program for journalists;
Enhanced diversity role—advisory, funding, post-election reviews, and complaints.
And those recommendations for others:
Enhanced role for Electoral Commission;
BPC and MRS proactively identify bad practice and report these to the various media regulators, for example, IPSO, IMPRESS, or Ofcom;
No overall ban on publication of polls pre-elections.
Lord Lipsey, who chaired the Lord’s Select Committee which reviews polling and digital media, responded to Sturgis’ opening summary and reflected on the Lord’s deliberations on the merits of statutory regulation for polling, and that such a recommendation would have been a “waste of time” as UK Ministers made clear this was not an outcome they would support.
Lipsey noted the 2015 BPC/MRS report was very valuable, but did result in some of the problems of the 2017 election due to the adjustments made as a result of this report. Lipsey also noted the impact of response rates and turnout, and expressed some dissatisfaction on the limitations of margins of error when non-random sampling is used. Lipsey reiterated that it was the “Last Chance Saloon” for pollsters to get their house in order; if they don’t, there could be more serious problems ahead.
The response from the BPC
Sir John Curtice, as President of the BPC, took to the floor to discuss the implications of the report for BPC stressing the self-regulatory status of the organization, its limited financial resources, and that its activities are undertaken on a voluntary basis. Curtice stressed that BPC does not adjudicate on the merits of sampling methodology or questionnaire design, nor does BPC provide formal advice on how polls should be conducted or evaluate quality of media reporting. Curtice reflected on the Lord’s recommendations and identified those within and those beyond BPC’s purview. The latter activities raise questions about BPC’s remit: should BPC be about being an information provider/educator or the public and media?; plus take responsibility for the quality of polls, conduct of polls, policing the conduct of individual polls, facilitating the reporting of polls, and policing the reporting of polls?; and if so what should be its structure and resourcing?
MRS view
Jane Frost, the MRS CEO, responded on behalf of MRS. Frost reflected on past-Her Majesty’s Revenue and Customs (HMRC) research and the numeracy levels of the British public, which is estimated at around the equivalent of 7 years old and how this impacts people’s ability to interpret and understand election polls. Frost also highlighted the coverage of the MRS Code of Conduct, particularly rule 33, which sets the ethical rules for data collection design which is supported by MRS training and qualifications. Frost also referred to the MRS supplementary guidance on polling to assist non-practitioners in understanding how to read opinion polls plus MRS’ long-standing advisory and complaints and disciplinary approaches.
A journalist’s perspective
John Rintoul, Chief Political Commentator for The Independent, gave a journalistic view. Rintoul stressed that banning pre-election poll is one of the “stupidest ideas” based on a misunderstanding of freedom of expression. Journalist’s experience of the Levinson media inquiry indicates how the media would react to the suggestion of BPC being involved in the reporting within the media of polls! Generally, media has been reasonably responsible. The other half of the Lord’s review—the behavior of social and the digital media—is a different issue. Some social media uses opinion polls to influence public opinion, but that is marketing not research, and is why transparency is essential. Rintoul also reflected on the challenges of educating the reader, distinguishing between self-selected polls and representative polls, and noting some gray areas such as the political party polls which are restricted to members of the political party.
Practitioners’ response
Thereafter, some research and polling practitioners responded. First up Ben Page, Chief Executive of Ipsos MORI, reflected that trust in pollsters remains well above government ministers, bankers, and journalists. Research and polling is more than just about voting intentions. Research is about other activities such as observation, and so on. Context and information about policy issues is important when assessing question wordings, bias. Page gave examples of confirmation bias, while acknowledged the need to continue working on accuracy; in effect, pollsters have to “continue fighting the last war” and reflected that with the benefit of hindsight, pollsters should have said the results were too close to call rather than declaring a result.
The final speaker was Joe Twyman, formerly of YouGov, now one of the Founder’s of Deltapoll. Twyman reflected that six electoral events had occurred in the last 1,476 days before this polling event. Twyman noted that YouGov were the first pollsters to predict a hung parliament, which met with some derisory social media comments about the organization. It was also noted that private pollsters can make claims that their polls accurately predicted results as they are not published, so any assertions cannot be refuted.
Still work to do
Lord Lipsey closed proceedings with some final observations, noting that the recommendations are not the most important part of the Lord’s report rather that the report sets out the state of the polling industry. Lipsey stressed that the Lords are not recommending anyone “polices” the polling industry rather that there is better coordination of the setting of rules. Lipsey also reflected that in his view there was too much pessimism about media’s willingness to engage with this topic; IPSO and IMPRESS are sympathetic of the need for journalistic training and recognize the need for the media to adhere to the disclosure rules. Lipsey concluded he was “mildly Whiggish” about media improvements. You will also find a paper on polling predictions in this issue by Johnson et al.
(Reporting for IJMR by Debrah Harding, Managing Director, MRS)
Awards
Three IJMR-related awards were presented at the MRS Excellence Awards lunch held in London on June 8.
IJMR Collaborative Award
The IJMR Executive Editorial Board selected the paper “Alternative methods for selecting web survey samples” (published in IJMR 60/4) by Melanie Revilla (Research Center for Survey Methodology, Universitat Pompeu Fabra, Barcelona) and Carlos Ochoa (NetQuest, Barcelona, Spain) for the 2018 IJMR Collaborative Award. In selecting this paper, the Board felt that the authors explored an important topic—whether collecting additional profile data, or passive data of internet usage collected via meters, could improve the efficiency and data quality of internet panel-based surveys. This could reduce the number of panel members being rejected in screening questions and help address the potentially negative impact of this on attitudes towards being a panel member. From the comprehensive literature review, the authors developed hypotheses tested through a rigorous research design, leading to clearly described and actionable findings.
MRS Gold Medal
I’m also very pleased to announce that Bill Blyth was awarded the coveted MRS Gold Medal for over 45 years of outstanding contribution to the social and market research sector (https://www.mrs.org.uk/article/mrs/mrs-gold-medal-awarded-to-bill-blyth). Bill has had a long association with IJMR until his retirement from TNS. We have published papers authored, or co-authored, by Bill and for many years he was a member of the Editorial Advisory Board. Two papers by Bill were published in the special issues of Journal of the Market Research Society (JMRS) (Vol. 38/4 and Vol. 39/1) commemorating MRS 50th anniversary, one of which “How do you like your data: raw, al dente or stewed,” co-authored with Tim Bowles, was re-published online as an IJMR Landmark paper (https://www.mrs.org.uk/blog/ijmr/landmark-paper-how-do-you-like-your-data-raw-al-dente-or-stewed), and two of his contributions won the MRS Innovation in Research Methodology awards.
MRS Silver Medal
Finally, the MRS Silver Medal. This is an annual award for the best paper published in IJMR and was awarded to the paper by Geoffrey Roughton and Iain MacKay, “Are interviews costing £0.08 a waste of money? Reviewing Google Surveys for ‘wisdom of crowds’ projects,” published in IJMR 59/2 (March 2017). This was published in our Special Issue, containing five papers based on ones presented at the ASC International Conference held at the University of Winchester in September 2016. In selecting this paper, the judges commented, this iconoclastic and useful paper provides robust, methodologically sound, actionable insights about the use of low-cost Google surveys—working in conjunction with “wisdom of the crowd” theory—that give us valid and reliable guidance on how to use this technique to explore likely future events. Written in an authoritative and accessible way, it will make a valuable contribution to the honing of our sector’s skills. More than this, the judges felt that in publishing something quite contrary to the accepted principles of research, the authors were daring to do this work in the first place and their honesty in sharing their failures when they did occur was brave.
Papers
The papers in this issue cover public opinion polling (UK), online quota sampling (Spain), use of rating questions in mail surveys (USA), screening for affiliation to consumer collectives (USA), and power state consumption and status consumption (China). The Forum article examines conversation patterns on Twitter.
Challenges in predicting election outcomes at constituency level
Discusses the challenges of using national polls to predict party seats;
Describes the increasing focus in UK election campaigns on key marginals;
Describes the application of Multilevel Regression Post-stratification methods in developing constituency-level predictions;
Discusses the constituency-level predictions developed for the UK 2017 general election and how these might be refined in future campaigns.
Our Special Issue, 60/2 (March 2018), focused on the “Challenges of accurately measuring public opinion.” In 60/3, we subsequently published a Conference Note on the same theme, and our first paper in this issue also returns to this theme. Johnson (University of Bristol); Rossiter (independent); Pattie, Todd (University of Sheffield); and Manley and Jones (University of Bristol) discuss the potential for applying constituency-level predictions of voting intentions in addressing the challenge of forecasting the number of seats parties will achieve, rather than the national vote share outputs, from opinion polls. The authors discuss the growing importance of marginal constituencies in deciding the outcome of a UK general election, the attention that political parties pay to them, and the range of factors that can influence the outcome within any particular constituency. They also discuss the impact of polls undertaken in key marginals, such as conducted by Lord Ashcroft on behalf of the Conservative Party, on strategies and outcomes. The authors also describe the trend toward Internet panel-based non-probability-based polling and the resultant meaningless use of confidence intervals as a measure of accuracy (see Peterson, “On the myth of reported precision in public opinion polls,” IJMR 60/2) that are also reflected in reports on opinion polling methods from the AAPOR in the United States and the BPC/MRS in the United Kingdom. The authors argue that Multilevel Regression Post-stratification methods (nicknamed “Mister P”) based on a combination of the findings from polls conducted in the 2015 election campaign plus local data from other sources could have produced a more accurate forecast in 2017 for most constituencies. They discuss the three sets of estimates using this method for marginals created by YouGov (68 correct predictions in England and Wales), Lord Ashcroft (53), and Chris Hanretty (42), discussing the analysis for estimates in England/Wales and Scotland. The results show mixed success, and the authors discuss how the outputs might be refined. Finally, the authors conclude that constituency-level predictions will become the focus of activity, by pollsters and political parties, with marginals becoming center-stage, leaving other electors disregarded.
Increasing efficiency in online sampling
Describes the increasing need to focus on fieldwork efficiency in online sampling;
Discusses the issues impacting efficiency in online quota sampling;
Identifies ways to improve efficiency;
Discusses topics for further research in this field.
As Gómez and Porcar (NetQuest, Barcelona, Spain) discuss in their paper, increased competition in the online survey market is causing researchers to look at ways to reduce survey costs and improve efficiency. Response rates continue to fall, panels suffer from attrition and the impact of discarding participants, recruiting costs are rising, and the costs of providing incentives also need to be closely managed. The authors’ objective is to help researchers identify the issues and develop solutions, their three aims being, first, to understand the effect of using quota sampling on fieldwork efficiency; second, to measure the effect for different quota settings; and third, to design new strategies to improve fieldwork efficiency. They begin with a discussion on sampling methods, and the challenge posed by asynchronously interviewing in online panels quota samples, with discard levels varying between 5% and 80%, compared to fieldwork surveys. The main methods used in online quota sampling are described (interlocking and non-interlocking). In further sections, the authors describe and discuss an analytical model to estimate fieldwork efficiency, the impact on efficiency of different quota settings, and strategies to improve efficiencies. They conclude with three recommendations for further research in this field.
Measuring preferences and values in mail surveys
Discusses the differences between ranking and rating question formats;
Describes the issues of developing ranking questions in mail surveys;
Describes an experiment comparing “most-second most” and “write-in numbering” ranking question formats;
Discusses the impact on findings where ranking questions are used;
Research conducted in the United States.
While the Internet has become a, if not “the,” primary data collection mode in many countries (44% overall in ESOMAR 2017 Global Market Research Report, 2017), mail-based surveys are still commissioned, even though the volume of research using this method has fallen to 1% internationally (ESOMAR). The authors focus on the challenges of using ranking-based questions, often used to identify preference and values in mail surveys. Smyth, Olson (University of Nebraska–Lincoln, USA), and Burke (LPC Consulting Associates, Inc., USA) discuss the differences between ranking and rating question formats, and the difficulties in developing rating formats in mail, compared to online surveys, leading to incorrect completion, satisficing, and skipping. A split-sample experiment is described testing “write-in numbering” against “most-second most” formats. The experiment was conducted using the National Health, Wellbeing and Perspectives Survey, with 6,000 participants split into two treatments. Also tested were the timing of incentives and the method for selecting the participant within household. The authors found that both methods led to high levels of response error, affecting the findings, especially where the “most-second most” format was used, participants more likely to incorrectly apply their experience from taking part in other surveys. They caution against using ranking format questions in mail surveys.
Developing effective screening to identify members of consumer collectives
Discusses and describes consumer collectives and the main types
Discusses the challenges in identifying membership status and other affiliative relationships;
Describes how to develop an effective screening questionnaire;
Primary research conducted at a large festival in the United States.
Hawkins (ICN Business School, Nancy, France) focuses on the challenges in identifying members of consumption collectives, and the subtle, but important, differences in status that need to be recognized in research projects, and marketing communications. The author defines members as “a group of consumers who share a commitment to a product class, brand, activity or consumption ideology.” As the author also describes, this covers a wide spectrum of association, including peripheral participants who aim to, over time, become legitimate members. Screening for participation is therefore important, if true members are to be identified from those with lesser, or different, affiliations. The author argues that the need for such screening is often missing from studies in this field. The author conducted his qualitative research at the annual Bikes Blues and BBQ (BBB) festival held in Fayetteville, Arkansas, in the United States (https://en.wikipedia.org/wiki/Bikes_Blues_and_BBQ), which attracts over 250,000 visitors with a wide variety of interests and levels of affiliation and discusses why this event provides a suitable location for research in this field. At the core of the paper is a discussion of the main categories of consumption collective (brand community, consumption tribe, communities of practice), illustrating the differences using the research findings. The paper also includes a screening questionnaire, demonstrating how it helps in differentiating between different levels of participation.
The relationship between power state and status consumption
Discusses the importance of power state, and the status of others, on consumer consumption choices;
Describes two experiments conducted to examine relationships between power state and the impact of the status of others on consumption;
Research conducted in China.
In the final paper, Jin, Xu, and Wang (Jilin University, Changchun, China) examine the impact of power status on status-related consumption. They define the topic as the “acquisition, display, or use of products that are implicitly or explicitly associated with a position in the social hierarchy.” In particular, the authors focus on the status of the individual and how it relates to the status of others when making consumption choices: are low-power state consumers more inclined to participate in status consumption than high-power state consumers when the status of others is superior, and are high-power state consumers more inclined to participate in status consumption than lower state consumers when the status of others is inferior. Two experiments are described: one to test out the effect of manipulating the status of others and the other related to the likely purchase of a particular luxury product. The findings demonstrate that power state and social comparison interact to influence consumer choice, including a reaction to the status of others. The authors conclude with a discussion of the implications for marketing strategy in differentiating communications to consumers with different status and different status needs in relation to others.
Forum
Identifying conversation patterns in social media
Focuses on Twitter
Describes the morphological structure of Twitter network topologies that can help evaluate campaigns
Identifies and discusses footprints across a spectrum from centralized to decentralized conversations
Covers conversations at brand, campaign, and category levels.
A version of our Forum article won the Best Methodological Paper award at the ESOMAR Congress in 2015. In the paper, Findlay (TNS, South Africa) uses Twitter to describe and discuss the morphological structure of Twitter network topologies, the patterns of social conversations on Twitter, at brand, campaign and category levels, identifying the new tools that can be used in social media analysis to evaluate campaign performances and brand image. The author describes the theoretical foundations, the factors contributing to content being shared, and the inherent difficulties in predicting what content might go viral. Network typologies are described along a spectrum and the six types of conversation identified in research by the Social Media Research Foundation. At the core of the paper are detailed descriptions of the interaction networks (footprints) at brand, campaign, and category levels that can be identified in Twitter conversations, across a spectrum from where the brand controls the content to situations (highly centralized) where the control is in the hands of consumers (highly decentralized). With increased experience, strategies mature providing real engagement with consumers, encouraging greater interaction between users. The author acknowledges that the paper primarily provides a qualitative perspective and the next step will be to identify a method to quantify these conversational types.
