scholarly journals Predictors for Wellbeing: Emotional Factors and Expectancy for Success

2015 ◽  
Vol 190 ◽  
pp. 48-53 ◽  
Author(s):  
Aurora Adina Colomeischi
2011 ◽  
Author(s):  
Kristin Layous ◽  
S. Katherine Nelson ◽  
Sonja Lyubomirsky

2017 ◽  
Vol 11 (1) ◽  
pp. 33
Author(s):  
Grace Hui Chin Lin ◽  
Patricia J. Larke ◽  
Douglas S. Jarvie ◽  
Paul Shih Chieh Chien

Anxiety (e.g., Dallos, 1976, 2006; Krashen, 2003, 2016) sometimes might be unavoidable in the learning process, because the cognitive and intellectual systems are usually connected with emotional factors. This empirical study was conducted in an English majors’ advanced-level writing course to explore relevant explanations about why Taiwanese university students experienced “anxiety” (Tomlinson, 1981, 2016). Seventeen participants of junior grade at a southern Taiwan university had cooperated with their teacher to examine their anxiety occurring during writing in English. The findings discovered five key issues explaining their apprehension including mentioned (1) time restriction, (2) teacher evaluation, (3) peer competition, (4) uninteresting writing topics. The fifth factor repeated by most of the student is displayed by this study. The study implies the anxiety should be a negative impact upon language learning.


Author(s):  
Carolin Siepmann ◽  
Pascal Kowalczuk

AbstractSmartwatches are the most popular wearable device and increasingly subject to empirical research. In recent years, the focus has shifted from revealing determinants of smartwatch adoption to understanding factors that cause long-term usage. Despite their importance for personal fitness, health monitoring, and for achieving health and fitness goals, extant research on the continuous use intention of smartwatches mostly disregards health and fitness factors. Grounding on self-determination theory, this study addresses this gap and investigates the impact of health and fitness as well as positive and negative emotional factors encouraging or impeding consumers to continuously use smartwatches. We build upon the expectation-confirmation model (ECM) and extend it with emotional (device annoyance and enjoyment) as well as health and fitness factors (goal pursuit motivation and self-quantification behavior). We use structural equation modeling to validate our model based on 335 responses from actual smartwatch users. Results prove the applicability of the ECM to the smartwatch context and highlight the importance of self-quantification as a focal construct for explaining goal pursuit motivation, perceived usefulness, confirmation and device annoyance. Further, we identify device annoyance as an important barrier to continuous smartwatch use. Based on our results, we finally derive implications for researchers and practitioners alike.


2021 ◽  
pp. 0192513X2110300
Author(s):  
Alfred DeMaris ◽  
Gary Oates

Although several studies have documented a distinct marriage advantage in well-being, it is still unclear what it is about marriage that renders this benefit. We hypothesize that it is due to factors theorized to accrue to matrimony, such as elevated financial status and specific social psychological supports. We examine the trajectory of subjective well-being for 1135 respondents from the three-wave 2010 GSS panel survey utilizing linear mixed-effects modeling. We find that about two-fifths of the marriage advantage in subjective well-being is accounted for by a mixture of control variables, finances, and emotional factors, with most of this due to elements that are associated with the marital context. Higher annual income, enhanced interpersonal trust, greater sociability, and less of a sense of loneliness and isolation appear to be responsible for a substantial component of the marital advantage. We further find that the marriage advantage is invariant to both race and gender.


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