A pilot Internet "Value of Health" Panel: recruitment, participation and compliance

Objectives To pilot using a panel of members of the public to provide preference data via the Internet Methods A stratified random sample of members of the general public was recruited and familiarised with the standard gamble procedure using an Internet based tool. Health states were perdiodically presented in "sets" corresponding to different conditions, during the study. The following were described: Recruitment (proportion of people approached who were trained); Participation (a) the proportion of people trained who provided any preferences and (b) the proportion of panel members who contributed to each "set" of values; and Compliance (the proportion, per participant, of preference tasks which were completed). The influence of covariates on these outcomes was investigated using univariate and multivariate analyses. Results A panel of 112 people was recruited. 23% of those approached (n = 5,320) responded to the invitation, and 24% of respondents (n = 1,215) were willing to participate (net = 5.5%). However, eventual recruitment rates, following training, were low (2.1% of those approached). Recruitment from areas of high socioeconomic deprivation and among ethnic minority communities was low. Eighteen sets of health state descriptions were considered over 14 months. 74% of panel members carried out at least one valuation task. People from areas of higher socioeconomic deprivation and unmarried people were less likely to participate. An average of 41% of panel members expressed preferences on each set of descriptions. Compliance ranged from 3% to 100%. Conclusion It is feasible to establish a panel of members of the general public to express preferences on a wide range of health state descriptions using the Internet, although differential recruitment and attrition are important challenges. Particular attention to recruitment and retention in areas of high socioeconomic deprivation and among ethnic minority communities is necessary. Nevertheless, the panel approach to preference measurement using the Internet offers the potential to provide specific utility data in a responsive manner for use in economic evaluations and to address some of the outstanding methodological uncertainties in this field

Increasing cognitive inhibition with a difficult prior task:implications for mathematical thinking

Dual-process theories posit two distinct types of cognitive processing: Type 1, which does not use working memory making it fast and automatic, and Type 2, which does use working memory making it slow and effortful. Mathematics often relies on the inhibition of pervasive Type 1 processing to apply new skills or knowledge that require Type 2 processing. In two studies, we demonstrate that giving participants a difficult task (Raven’s Matrices) before a task that requires the inhibition of intuitive responses (the Cognitive Reflection Test) significantly improves performance. Our findings suggest that encountering a difficult task that requires Type 2 processing before completing a task that requires inhibition of Type 1 processing may encourage an enduring ‘Type 2’ mindset, whereby participants are more likely to spontaneously use Type 2 processing for a period of time. Implications for mathematics education are discussed

New internet myths: no truth in a postfactual world?

The year 2016 has seen an unprecedented series of political campaigns that made use of the Internet, especially social media. Consequently, the Internet is increasingly being seen as a channel for influencing opinions, and it is being blamed for allowing spin doctors and other shady elements lurking at campaign trails in doing so without the necessity of content being related to facts. Post-truth was named the Oxford Dictionaries Word of the Year 2016, an adjective defined as relating to or denoting circumstances in which objective facts are less influential in shaping public opinion than appeals to emotion and personal belief (Oxford Dictionary, 2016). Relatedly, language institutions in several other languages followed suit, e.g. postfaktisch was also elected word of the year for German. The history of making new technologies responsible for societal developments beyond their actual impact is not new: when books were first printed, the invention of trains was thought to blind people, make them go crazy or cause female passengers' uteruses ... fly out of [their] bodies (Rooney, 2011). Old TV seems to get a break on its couch these days, while a crowd of teenage Internet services is being blamed for shattering the world's windows. In the current editorial, we take a close look at these new Internet myths

Advice in surveying the general public over the internet

Summary: The advancements reported here come not from trying to fit the general public to the Internet (e.g. volunteer samples, email contacts only and payments afterwards) but instead trying to fit survey requests to people's normal lives. This approach includes adopting a mixed-mode data collection strategy that relies on mail contact to deliver incentives and an orchestrated approach to encouraging people to respond to those modes in sequence. The development of new ways of thinking about data collection practices was needed when telephone RDD methods began to replace personal interviewing in the 1970's, just as new thinking is now needed for encouraging Internet surveying in the 2010's. As a result, widespread use of the Internet for surveys of the general public now seems feasible, and the authors are eagerly looking forward to the invention of methodologies that will reduce the many difficulties in doing surveys. \u3cbr/\u3

The SNARC and MARC effects measured online: Large-scale assessment methods in flexible cognitive effects

© 2019, The Psychonomic Society, Inc. The Spatial–Numerical Association of Response Codes (SNARC) effect (i.e., faster reactions to small/large numbers on the left-/right-hand side) is usually observed along with the linguistic Markedness of Response Codes (MARC) effect—that is, faster left-/right-hand responses to odd/even numbers. The SNARC effect is one of the most thoroughly investigated phenomena in numerical cognition. However, almost all SNARC and MARC studies to date were conducted with sample sizes smaller than 100. Here we report on a study with 1,156 participants from various linguistic and cultural backgrounds performing a typical parity judgment task. We investigated whether (1) the SNARC and MARC effects can be observed in an online setup, (2) the properties of these effects observed online are similar to those observed in laboratory setups, (3) the effects are reliable, and (4) they are valid. We found robust SNARC and MARC effects. Their magnitude and reliabilities were comparable to values previously reported in in-lab studies. Furthermore, we reproduced commonly observed validity correlations of the SNARC and MARC effects. Namely, SNARC and MARC correlated with mean reaction times and intraindividual variability in reaction times. Additionally, we found interindividual differences in the SNARC and MARC effects (e.g., finger-counting routines for the SNARC and handedness for the MARC). Large-scale testing via web-based data acquisition not only produces SNARC and MARC effects and validity correlations similar to those from small, in-lab studies, but also reveals substantial insights with regard to interindividual differences that usually cannot be revealed in the offline laboratory, due to power considerations