Author
Filip Fors Connolly
Bio: Filip Fors Connolly is an academic researcher from Umeå University. The author has contributed to research in topics: Life satisfaction & Subjective well-being. The author has an hindex of 5, co-authored 9 publications receiving 59 citations.
Papers
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TL;DR: In this article, the conceptual and operational conflation of tolerance and prejudice in empirical research on tolerance has been identified as one of the shortcomings of existing empirical work on tolerance, and a number of shortcomings have been identified.
Abstract: Previous empirical research on tolerance suffers from a number of shortcomings, the most serious being the conceptual and operational conflation of (in)tolerance and prejudice. We design research t ...
37 citations
TL;DR: The Gender-Equality-Personality Paradox (GEPP) is the finding that gender differences in personality are at their largest in the most gender equal countries as discussed by the authors. But previous known studies have not examined the effect of gender differences on personality.
Abstract: The Gender-Equality-Personality Paradox (GEPP) is the finding that gender differences in personality are at their largest in the most gender equal countries. Previous known studies have not examine ...
18 citations
TL;DR: This research focuses on the development of measurement methods to address how travel affects emotional wellbeing and how these methods are applied in the context of clinical practice.
Abstract: Introduction: Travel behavior research has only started to address how travel affects emotional wellbeing. The development of measurement methods is an important goal of this research.Methods: A re ...
14 citations
TL;DR: In this article, the correlation between life satisfaction and affect is estimated, and a simple model is proposed to distinguish between a stable and a t-termed stable and stable person.
12 citations
TL;DR: This paper showed that social status is an important predictor of life satisfaction (LS) in the United States, which raises questions about the role of social status in predicting life satisfaction in other countries.
Abstract: Previous research has shown that social status is an important predictor of life satisfaction (LS). However, researchers have largely focused on the United States, which raises questions about the ...
12 citations
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TL;DR: This meta-analysis tested if the links between socioeconomic status (SES) and subjective well-being (SWB) differ by whether SES is assessed objectively or subjectively, and the objective SES and subjective SES measures were moderately associated.
Abstract: This meta-analysis tested if the links between socioeconomic status (SES) and subjective well-being (SWB) differ by whether SES is assessed objectively or subjectively. The associations between measures of objective SES (i.e., income and educational attainment), subjective SES (i.e., the MacArthur ladder SES and perceived SES), and SWB (i.e., happiness and life satisfaction) were synthesized across 357 studies, totaling 2,352,095 participants. Overall, the objective SES and subjective SES measures were moderately associated (r = .32). The subjective SES-SWB association (r = .22) was larger than the objective SES-SWB association (r = .16). The income-SWB association (r = .23) was comparable with the ladder SES-SWB association (r = .22) but larger than the perceived SES-SWB association (r = .196). The education-SWB association (r = .12) was smaller than the associations with both measures of subjective SES. The subjective SES-SWB association was partially explained by common method variance. The subjective SES-SWB association, particularly with the ladder SES measure, also mediated the objective SES-SWB association. In moderation analyses, the objective SES-SWB associations strengthened as samples increased in wealth and population density. The subjective SES-SWB associations strengthened as samples increased in population density, decreased in income inequality, and decreased in relative social mobility. The role of common method variance, social comparisons, and other processes in explaining the SES-SWB links are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
129 citations
01 Jan 2014
TL;DR: In this article, the authors used pooled ordinary least squares (OLS) and fixed effects panel regression to study the relationship between how we travel and how we feel, and found that, contrary to the common perception that travel is an onerous derived demand, mood is generally no worse during travel than on average.
Abstract: How do emotions like happiness, pain, stress, sadness, and fatigue vary during travel and by travel mode? Understanding the relationship between how we travel and how we feel offers insight into ways of improving existing transportation services, prioritizing investments, and theorizing and modeling the costs and benefits of travel. Drawing on the American Time Use Survey’s well-being module, which surveyed over 13,000 respondents about mood during randomly selected activities, this paper addresses these questions using pooled ordinary least squares (OLS) and fixed effects panel regression. Controlling for demographics and other individual-specific attributes, the results show that, contrary to the common perception that travel is an onerous derived demand, mood is generally no worse during travel than on average. The results show that bicyclists have the most positive affect. Next happiest are car passengers, and then car drivers, though when controlling for the pleasure typically derived from interacting with others, drivers are at least as happy as passengers. Bus and train riders experience the most negative emotions, though a small part of this can be attributed to the fact that transit is disproportionately used for the unloved work trip. The findings suggest that bicycle use may have emotional benefits beyond the typically cited health and transportation ones, and that improving transit riders’ emotional experience may be as important as improving traditional service features such as headways and travel speeds. The findings are ambiguous as to whether the joy of driving will limit the appeal of autonomous vehicles.
51 citations
TL;DR: Men outnumber women in a number of fields in STEM (science, technology, engineering and mathematics) as discussed by the authors, and the most commonly discussed explanations for the gender gap in these fields are:
Abstract: It is a well-known and widely lamented fact that men outnumber women in a number of fields in STEM (science, technology, engineering and maths). The most commonly discussed explanations for the gen...
43 citations
05 Oct 2011
TL;DR: The authors found that sociometric status, such as the respect and admiration one has in face-to-face groups (e.g., one's friendship group or workplace) has a stronger effect on subjective well-being than does socioeconomic status.
Abstract: Dozens of studies in different nations reveal that socioeconomic status only weakly predicts an individual’s subjective well-being (SWB). These effects suggest that although the pursuit of social status is a fundamental human motivation, achieving high status has little impact on one’s SWB. However, we propose that sociometric status – the respect and admiration one has in face-to-face groups (e.g., one’s friendship group or workplace) – has a stronger effect on SWB than does socioeconomic status. Using correlational, experimental, and longitudinal methodologies, four studies found consistent evidence for a “Local Ladder Effect”: sociometric status significantly predicted satisfaction with life and the experience of positive and negative emotions. Longitudinally, as sociometric status rises or falls, SWB rises or falls accordingly. Furthermore, these effects were driven by feelings of power and social acceptance. Overall, individuals’ sociometric status – their respect and admiration in local, face-to-face groups –matters more than their socioeconomic status for SWB.
38 citations
01 Jan 2017
TL;DR: Future research is needed to clarify the distinct correlates of affective versus cognitive wellbeing, as well as how positive and negative emotions are operationalized, and greater sensitivity to the statetrait distinction is needed.
Abstract: Well-being is a broad, multifaceted construct. This chapter reviews different ways of defining and measuring well-being and the implications this has for understanding the correlates and causes of wellbeing. Hedonic well-being (HWB), eudaimonic well-being (EWB), and other conceptions of well-being are discussed. Specific components and aspects of HWB are elaborated on. These include the distinction between affective and cognitive well-being. Major aspects of affective well-being include valence, frequency versus intensity, arousal, and interpersonal engagement. Major aspects of cognitive well-being include life satisfaction, life evaluation, and domain satisfaction. Processes underlying the structure of cognitive well-being are discussed including top-down versus bottom-up models, and the tendency to use heuristics versus stable sources of information to evaluate one’s life. Trait versus state conceptions of wellbeing are introduced. Different well-being assessment methods (online, recall, global) can be located on a state-trait continuum. The distinction between state and trait measures of well-being has implications for understanding the structure of affect, the relation between well-being and health, and cultural variation in well-being. Future research is needed to clarify the distinct correlates of affective versus cognitive wellbeing, as well as how positive and negative emotions are operationalized. In addition, a better understanding of the components of EWB and how they are related to HWB and affective dimensions beyond valence will shed light on the validity of the EWB construct. Finally, greater sensitivity to the statetrait distinction will deepen our knowledge of the processes that shape both HWB and EWB.
38 citations