Main content

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: It has been documented that certain types of activities are related to well-being. However, most studies have focused on social or positive activities. In this study, the relation between self-reported everyday activities and subjective well-being will be explored using natural language processing in the form of statistical semantics. This method has to our knowledge not been used in this context to date. Well-being has many times been assessed using the construct life satisfaction. This construct is theoretically related to hedonism, pleasure and other self-indulgent aspects of well-being. The construct harmony in life, on the other hand, is related to balance, eudaimonia and other selfless aspects of well-being, thus complementing life satisfaction in assessing the cognitive aspect of subjective well-being. In addition to the cognitive aspect, subjective well-being has an affective aspect conceptualised as a preponderance of positive affect in comparison to negative affect. In this study, we examine how participants’ self-reported activities are related to their subjective well-being. The aim is to answer three questions: Can a person’s self-reported activities predict subjective well-being? Are the different subjective well-being constructs related to different activities? Is variation in activities related to subjective well-being?

Files

Loading files...

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.