Modelling population-based cancer survival trends using join point models for grouped survival data

Summary.  In the USA cancer as a whole is the second leading cause of death and a major burden to health care; thus medical progress against cancer is a major public health goal. There are many individual studies to suggest that cancer treatment breakthroughs and early diagnosis have significantly improved the prognosis of cancer patients. To understand better the relationship between medical improvements and the survival experience for the patient population at large, it is useful to evaluate cancer survival trends on the population level, e.g. to find out when and how much the cancer survival rates changed. We analyse population-based grouped cancer survival data by incorporating join points into the survival models. A join point survival model facilitates the identification of trends with significant change-points in cancer survival, when related to cancer treatments or interventions. The Bayesian information criterion is used to select the number of join points. The performance of the join point survival models is evaluated with respect to cancer prognosis, join point locations, annual percentage changes in death rates by year of diagnosis and sample sizes through intensive simulation studies. The model is then applied to grouped relative survival data for several major cancer sites from the 'Surveillance, epidemiology and end results' programme of the National Cancer Institute. The change-points in the survival trends for several major cancer sites are identified and the potential driving forces behind such change-points are discussed.     

A critical review of end-user information system satisfaction research and a new research framework

This paper presents a critical review of research in end-user information system satisfaction (EUISS). An extensive literature search is conducted from which over 50 EUISS related papers are identified. It is found that the past research is dominated by the expectation disconfirmation approach. To provide more insights into the psychological processing of the information system performance construct and its impact upon EUISS, we propose an integrated conceptual model based on the equity and needs theories. The implications of the proposed model for EUISS are discussed, and suggestions are made for testing the model.     

A Network Perspective of Organizational Innovation

Current explanations undertheorize success across the broad stages of innovation, which include product invention, development, implementation, and success. While existing scholarship typically examines one, sometimes two, of these stages, innovation must be viewed more broadly with success resulting from the involvement of a wide range of actors including the firm, alliance partner, and overall network. In this article, I apply a network perspective to explain success across these stages. The argument I develop is that different types of networks are more relevant to certain stages of innovation. Network activity that increases from lower to higher levels of analysis is associated with success across the stages of innovation. Specifically, firm inventors influence product invention, successful product development and implementation are associated with dyadic‐level relationships between strategic alliance partners, and product success is impacted by a firm's central location in its entire network of strategic alliances. Results from regression models provide broad support for network approach advocated in this article.     

Identity,Campus Climate,and Burnout Among Undergraduate Women in STEM Fields

Women remain underrepresented in science, technology, engineering, and mathematics (STEM), and these male‐dominated fields are often described as “chilly” and unwelcoming to women. This study examined the potential moderating effect of chilly climate on woman–scientist identity interference and academic burnout among 363 female undergraduate STEM students. Results indicated that identity interference related to greater emotional exhaustion, greater cynicism, and lower academic efficacy. A chillier climate related to more emotional exhaustion and cynicism. Furthermore, a positive relation was found between woman–scientist interference and cynicism when chilly climate was low or moderate. When interference was high, chilly climate did not have a relation with cynicism. When women experienced many threats (i.e., high chilly climate, high interference), they reached a threshold where additional emotional cost did not matter. Results highlight the importance of improving the campus climate for female scientists, as well as the need to assist female scientists in identity development.     

Probability Size Matters: The Effect of Foreground-Only versus Foreground+Background Graphs on Risk Aversion Diminishes with Larger Probabilities

Graphs are increasingly recommended for improving decision-making and promoting risk-avoidant behaviors. Graphs that depict only the number of people affected by a risk (“foreground-only” displays) tend to increase perceived risk and risk aversion (e.g., willingness to get vaccinated), as compared to graphs that also depict the number of people at risk for harm (“foreground+background” displays). However, previous research examining these “foreground-only effects” has focused on relatively low-probability risks (<10%), limiting generalizability to communications about larger risks. In two experiments, we systematically investigated the moderating role of probability size on foreground-only effects, using a wide range of probability sizes (from 0.1% to 40%). Additionally, we examined the moderating role of the size of the risk reduction, that is, the extent to which a protective behavior reduces the risk. Across both experiments, foreground-only effects on perceived risk and risk aversion were weaker for larger probabilities. Experiment 2 also revealed that foreground-only effects were weaker for smaller risk reductions, while foreground-only displays decreased understanding of absolute risk magnitudes independently of probability size. These findings suggest that the greater effectiveness of foreground-only versus foreground+background displays for increasing perceived risk and risk aversion diminishes with larger probability sizes and smaller risk reductions. Moreover, if the goal is to promote understanding of absolute risk magnitudes, foreground+background displays should be used rather than foreground-only displays regardless of probability size. Our findings also help to refine and extend existing theoretical accounts of foreground-only effects to situations involving a wide range of probability sizes.     

When punishment is emotion‐driven: Children's,adolescents', and adults' costly punishment of unfair allocations

When do children, adolescents, and adults decide to punish fairness violations? Two studies with 9‐year‐old children, 13‐year‐old adolescents, and adults investigated whether the link between unfairness and punishment was mediated by negative emotional reactions (measured through galvanic skin responses and emotion ratings). Study 1 (N = 117) examined this question in the context of second‐party punishment, where the punisher is a direct victim of the violation. Study 2 (N = 119) assessed third‐party punishment, where the punisher is an observer, unaffected by the violation. In each study, participants were presented with seven distributions of points, which differed in how fairly the points were allocated between a proposer and receiver, and had to decide whether to punish these distributions. Although the unfairness of the distribution strongly influenced second‐ and third‐party punishment in all age groups, the mediating role of emotional appraisals (i.e., galvanic skin responses vs. emotion ratings) depended on whether or not the punisher was personally affected by the violation and age. Thus, negative emotions primarily motivate costly punishment when the punisher is affected by the violation or when an unaffected third‐party punisher takes the perspective of the victim of a violation, an ability that develops between childhood and adolescence.     

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.     

Children’s Resource Shares: Male Versus Female-Headed Households

Journal of Family and Economic Issues - This is a comparative study of children’s resource shares in male-headed and female-headed households. To this end we estimate a household collective...     

Diversity of Social Enterprise Models in South Korea

In this paper, we analyse the emergence and development of social enterprise in South Korea. Our purpose is to show how different broad, consensual and successive conceptions of social enterprise—the so-called meta-models—have generated a dynamic and complex environment which includes a variety of models of social enterprise. Based on multiple data sources, including interviews, documents, statistics and field research, we illustrate the diversity of Korean social enterprise models by using the EMES ideal-type as a conceptual framework that leads us to analyse the social, economic and governance dimensions of each type of social enterprise. This research suggests that the social enterprise phenomenon should not be limited to its expressed contents or to an excessively strict legal or economic definition. It eventually contributes to advancing our understanding on social enterprise by showing that the definitions and concepts of social enterprise can be diverse across different social, economic and political contexts. For this reason, building a universal typology that can embrace social enterprises in different national contexts is by far a challenging task.