Name
Title | ||
|---|---|---|
Quantifying the Typology of Well-Being: BOOST, a Functional, IRT-Backed Instrument for Assessing Subjective Well-Being |
Abstract | ||
|---|---|---|
Well-being significantly impacts the success of university students and early-stage professionals. The Berkeley Optimal Open Sociometric Test (BOOST) is an instrument offering a simple yet effective way of measuring an individual's well-being on an aggregate scale of key attributes (empathy, interpersonal engagement, self-motivation, self-awareness, time management, and stress management and resil... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICE/ITMC52061.2021.9570213 | 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) |
Keywords | DocType | ISBN |
Technological innovation,Instruments,Linear regression,Employment,Reliability theory,Time measurement,Stress | Conference | 978-1-6654-4963-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kian Talaei | 1 | 0 | 0.34 |
| Aditya Peshin | 2 | 0 | 0.34 |
| Yasmine Salame Lama | 3 | 0 | 0.34 |
| Srijit Basu | 4 | 0 | 0.34 |
| Johnson James Kanjirathinkal | 5 | 0 | 0.34 |
| Elias Castro Hernandez | 6 | 0 | 0.34 |
| Ikhlaq Sidhu | 7 | 0 | 0.34 |