Quantifying the Typology of Well-Being: BOOST, a Functional, IRT-Backed Instrument for Assessing Subjective Well-Being

Kian Talaei, Aditya Peshin, Yasmine Salame Lama, Srijit Basu, Johnson James Kanjirathinkal,Elias Castro Hernandez,Ikhlaq Sidhu

2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)（2021）

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摘要

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...

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关键词

Technological innovation,Instruments,Linear regression,Employment,Reliability theory,Time measurement,Stress

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