Comparing and unifying slope estimates across psychometric function models

The psychometric function relating stimulus intensity to response probability generally presents itself as a monotonically increasing sigmoid profile. Two summary parameters of the function are particularly important as measures of perceptual performance: the threshold parameter, which defines the location of the function over the stimulus axis (abscissa), and the slope parameter, which defines the (local) rate at which response probability increases with increasing stimulus intensity. In practice, the psychometric function may be modeled by a variety of mathematical structures, and the resulting algebraic expression describing the slope parameter may vary considerably between different functions fitted to the same experimental data. This variation often restricts comparisons between studies that select different functions and compromises the general interpretation of slope values. This article reviews the general characteristics of psychometric function models, discusses three strategies for resolving the issue of slope value differences, and presents mathematical expressions for implementing each strategy.     

Information search in the testing of quantified hypotheses: how "all," "most," "some," "few," and "none" hypotheses are tested

A series of experiments examined how the search for information in the testing of hypotheses is affected by quantifiers that specify the frequency of the test relation. The experiments showed that a positive search is used more in the testing of propositions in which some instances are predicted to have the test relation than in the testing of propositions in which most or few instances are predicted to have the test relation. In addition, the studies demonstrated that a negative or disconfirmatory search is more likely to characterize tests of absolute hypotheses than tests of hypotheses of the majority or minority form. Finally, the findings indicated that a negative search also is more common in tests of hypotheses predicting the absence rather than the presence of a phenomenon. Thus, as expected, participants generally engaged in a diagnostic search rather than the confirmatory search for information that has been so ubiquitous in previous research.     

Thinking too much: How young people experience rumination in the context of loneliness

The recent rise in the prevalence of loneliness, particularly among young adults, coupled with its deleterious effects on wellbeing, makes understanding the issue of pressing concern. As most research on loneliness has focused on older adults, this study explored how 48 young adults aged 18–24 subjectively experienced loneliness through free association-based interviews. Participants were sampled from the four most deprived boroughs in London, as area deprivation has been associated with a higher prevalence of loneliness. This facilitates understanding of contributors and consequences of loneliness within this demographic group. In particular, the focus is on rumination arising from loneliness; while the link between the two is well-established quantitively, research into rumination and the context of ruminative thoughts in the context of loneliness remains sparse. Thus, this study aimed to understand the subjective experience of rumination in young adults whilst they experienced loneliness. Thematic analysis of interviews using ATLAS.ti 9 revealed five themes capturing these experiences: ‘temporal experience of rumination’, ‘ruminating life and death’, ‘rumination related to others’, ‘outcomes of rumination’ and ‘coping with loneliness-related rumination’. Based upon knowledge of the nature and content of rumination, further research could devise models of rumination and interventions targeted at rumination such as mindfulness meditation, journaling and engaging in prosocial behaviour, to mitigate the adverse effects loneliness can have on wellbeing.     

Meaning in Life in Emerging Adulthood: A Person‐Oriented Approach

The present study investigated naturally occurring profiles based on two dimensions of meaning in life: Presence of Meaning and Search for Meaning. Cluster analysis was used to examine meaning‐in‐life profiles, and subsequent analyses identified different patterns in psychosocial functioning for each profile. A sample of 8,492 American emerging adults (72.5% women) from 30 colleges and universities completed measures on meaning in life, and positive and negative psychosocial functioning. Results provided support for five meaningful yet distinguishable profiles. A strong generalizability of the cluster solution was found across age, and partial generalizability was found across gender and ethnicity. Furthermore, the five profiles showed specific patterns in relation to positive and negative psychosocial functioning. Specifically, respondents with profiles high on Presence of Meaning showed the most adaptive psychosocial functioning, whereas respondents with profiles where meaning was largely absent showed maladaptive psychosocial functioning. The present study provided additional evidence for prior research concerning the complex relationship between Presence of Meaning and Search for Meaning, and their relation with psychosocial functioning. Our results offer a partial clarification of the nature of the Search for Meaning process by distinguishing between adaptive and maladaptive searching for meaning in life.     

How successfully can we measure well-being through measuring happiness?

Happiness is currently the topic of a wide range of empirical research, and is increasingly becoming the focus of public policy. The interest in happiness largely stems from its connection with well-being. We care about well-being – how well our lives are going for us. If we are happy it seems that, to some extent, we must be doing well. This suggests that we may be able to successfully measure well-being through measuring happiness. The problem is that both happiness and well-being are elusive and their measurement is far from uncontroversial. What exactly does information about happiness tell us about well-being? Is there more to well-being than happiness? If so, to what extent is happiness connected to well-being? These are controversial questions, but answers to them must be given if we are to make progress in the measurement of well-being. I argue that we should view happiness as an indicator of changes in well-being. I call this the Indicator View. According to this view, someone can be doing badly yet be happy insofar as their well-being is improving (and vice versa). More precisely, the Indicator View is the view that happiness is a defeasible indicator of local changes in well-being. Thus, we can successfully measure an important aspect of well-being through measuring happiness. I argue in favour of this view on the basis of an understanding of well-being that is widely acceptable. The Indicator View, therefore, has the potential to unite divided opinion over what happiness research can tell us about well-being.     

Burnout and depressive symptoms are not primarily linked to perceived organizational problems

In this 257-participant study (76% female; mean age: 44.84), we examined two ideas that are widespread among burnout researchers: (a) the idea that burnout is primarily related to occupational-level factors; and (b) the idea that burnout should be considered a sentinel indicator in research on negative occupational outcomes. We investigated the links between burnout and a series of generic and work-related variables, namely, depressive symptoms, neuroticism, extraversion, effort-reward imbalance in the job [ERI], social support at work (SSW), and turnover intention. Burnout was assessed with the Shirom-Melamed Burnout Measure, depressive symptoms with the PHQ-9, neuroticism and extraversion with the NEO-Five Factor Inventory, ERI with the 10-item version of the Effort-Reward Imbalance Questionnaire, SSW with the Job Content Questionnaire, and turnover intention with a dedicated 3-item measure. Correlation, multiple regression, and relative weight analyses were conducted. Burnout was not found to be more strongly linked to organizational and work-contextualized variables than to personality traits. In addition, turnover intention was not associated to a greater extent with burnout than with ERI. Burnout and depressive symptoms were highly correlated and exhibited overlapping nomological networks. Overall, our findings question the way burnout has been generally conceived.