This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.
Self-determination theory posits that satisfaction of basic psychological needs is essential for wellbeing. Empirical evidence for the distinction between need frustration and need satisfaction has been growing within the last decade. However, research on player experience of need frustration is lagging behind. This paper investigates whether player experience of need frustration is distinct from need satisfaction in the online video games context. In addition, it examines whether in-game need frustration is a stronger predictor for negative outcomes such as problematic gaming, escapist motivations, real-life stress and exit intentions and whether ingame need satisfaction is a stronger predictor for positive outcomes such as satisfaction, concentration, subjective vitality and voice. We collected survey data from online video gamers. Path analyses showed that in-game need frustration is a distinct construct, predicting negative outcomes uniquely and more strongly than in-game need satisfaction, whereas in-game need satisfaction was more strongly associated with positive outcomes. The findings suggest that assessing both need satisfaction and frustration in gaming research could prove valuable.
As virtual reality (VR) games are getting more widespread, the need to understand the interaction between players and the VR games is gaining prominence. The present study examines player endorsement of virtual reality games from an amalgamation of technology acceptance, self-determination, and flow theory perspectives. A survey was carried out with participants (N = 396) who had played a VR game at least once and at most five times. Structural equation modeling analyses showed that perceived ease of use was the primary predictor for satisfaction of self-determination constructs (autonomy and competence) and flow constructs (immersion and concentration), which in turn predicted player enjoyment. Accordingly, the results suggest the importance of including self-determination constructs in addition to the flow perspective within the context of technology acceptance model, for explaining the acceptance of VR gaming. Findings also showed that enjoyment resulted in positive attitudes towards VR gaming, and these attitudes predicted intention to play VR games.
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