How People Really Suspect and Discover Lies

Previous research suggested that real-world lies are detected through hard evidence, such as physical evidence or a direct confession, and not via nonverbal clues. However, we argue that discovering a lie is a process, and nonverbal clues are an important source of information that can induce suspicion, which then triggers the search for hard evidence. We replicated an original study suggesting the irrelevance of nonverbal clues, but experimentally manipulated the wording of the critical question as ‘discovering’ a lie versus ‘suspecting’ a lie. A second study was conducted that further manipulated the phrasing to ask about ‘events’ versus ‘clues’ that led one to detect the lie. Results of both studies showed that those asked about suspecting a lie cited nonverbal behaviors significantly more often than those asked about discovering a lie. Thus, in contrast to previous research, these findings suggest the importance of behavioral clues (e.g. verbal and nonverbal behavior), specifically in the early stage of lie detection.     

How can we make better graphs? An initiative to increase the graphical expertise and productivity of quantitative scientists

Graphics are at the core of exploring and understanding data, communicating results and conclusions, and supporting decision‐making. Increasing our graphical expertise can significantly strengthen our impact as professional statisticians and quantitative scientists. In this article, we present a concerted effort to improve the way we create graphics at Novartis. We provide our vision and guiding principles, before describing seven work packages in more detail. The actions, principles, and experiences laid out in this paper are applicable generally, also beyond drug development, which is our field of work. The purpose of this article is to share our experiences and help foster the use of good graphs in pharmaceutical statistics and beyond. A Graphics Principles “Cheat Sheet” is available online at https://graphicsprinciples.github.io/ .     

Some Results on Node Lifting of TSP Inequalities

We can define important classes of TSP inequalities by performing Naddef and Rinaldi's node lifting operation on simple TSP inequalities.We present some new insights into the node lifting operation, namely that 1-node lifting of cut based inequalities always has a geometric interpretation if a certain claw-free condition which is satisfied by most of these TSP inequalities is met. We go on to show that node lifting of the subtour elimination inequalities does not yield any new inequalities.     

A Psychometric Evaluation of the Expectations,Perceptions, and Difference‐Scores Generated by the IS‐Adapted SERVQUAL Instrument

This article describes the results of a study assessing the psychometric properties of the expectations and perceptions‐of‐performance instruments and the difference‐score data contained within the information systems (IS)‐Adapted SERVQUAL measurement paradigm. The central claim of this study is: In order for rational inferences to be made about service expectations, service performance perceptions, or the gap between them, each of the two instruments must exhibit reasonable psychometric properties in isolation before difference‐scores are taken. Analysis of data from a field study (N= 401) through structural equation modeling (SEM) techniques produces empirical evidence indicating that both of the instruments exhibit low psychometric quality and yet the difference‐scores exhibit “psychometric inflation.” That is, the quality of the difference‐score data is in many ways apparently superior to the raw data from both instruments. Negative conclusions are reached as to the efficacy of either individual instrument and, thus, the full IS‐Adapted SERVQUAL paradigm. Questions and prospects for further research in this important area of service quality measurement/management are presented, and a potentially rich future for IS service quality is outlined. It is strongly suggested that future IS service quality research be based on development of a new instrument, grounded in attributes endemic to IS services and developed using the best available development techniques.     

The Social Stratification of Older Adults' Preparations for End-of-Life Health Care

I use data from the Wisconsin Longitudinal Study (n = 4,971) to evaluate the extent to which socioeconomic status affects three health-related (living will, durable power of attorney for health care, and discussions) and one financial (will) component of end-of-life planning. Net worth is positively associated with all four types of planning, after demographic, health, and psychological characteristics are controlled. Low rates of health-related planning among persons with low or negative assets are largely accounted for by the fact that they are less likely to execute a will, an action that triggers health-related preparations. Rates of health-related planning alone are higher among recently hospitalized persons, whereas financial planning only is more commonly done by homeowners and those with richer assets. The results suggest that economically advantaged persons engage in end-of-life planning as a two-pronged strategy entailing financial and health-related preparations. Implications for health policy, practice, and theory are discussed.     

The role of networks of practice and webs of influencers on farmers' engagement with and learning about agricultural innovations

Drawing on the UK research project, ‘Farmers’ understandings of GM crops within local communities’, this paper considers the application of the concepts of communities of practice and networks of practice in the agricultural context. A brief review of theories about communities of practice and networks of practice is given and some of our findings are discussed in the context of those theories.Farmers were found to be a particular type of network of practice, characterised by a weak organisational framework but with a relatively stable network of other communities of practice (or networks of practice) they interact with, which we have called a ‘web of influencers on practice’. Together, farmers’ network of practice and their web of influencers on practice represent the whole environment in which learning may occur, and so provide insights into their social learning system. Most farmers have to work at the boundary of their network of practice and their web of influencers, which creates a significant load on their knowledge management. This is in contrast to other networks of practice where only some members take on this boundary brokering role. The paper concludes that these theories (on networks and communities of practice) provide a useful lens through which to view farmers and their practice, highlighting important points for policy. However, in such contexts these theories need to be extended to include the role of a broader ‘web of influencers on practice’.     

How and Why Do Family and Systemic Therapies Work?

My reviews of the evidence base for family therapy conducted over the past 15 years have been guided by four key questions. Does systemic therapy work? What sorts of systemic therapy work for specific problems? What processes occur in effective systemic therapy? Is systemic therapy cost‐effective? In this paper answers to these questions are given. Systemic interventions are effective for about two out of three cases. Specific models of effective systemic therapy have been developed for most common mental health problems. There are many processes shared by evidence‐based models of practice that can be incorporated into the routine practice of research‐informed family therapy. Systemic therapy is cost‐effective and in many cases leads to medical cost‐offsets. Available evidence indicates that family therapy can make a very significant contribution to alleviating suffering and making the world a better place to be.