1 research outputs found
Neurodiversity and Online Psychometrics: Metadata and Documentation, 2024-2025
No full textIn Study 1 (N = 314), we compared neurodivergent (n = 151) and neurotypical (n = 163) online test performance, completion time, mood (prior to and following test administration), ease of use perceptions, and online behaviours (in relation to platform use). Participants completed various online ability tests and a personality questionnaire, along with mood and usability surveys. Using statistical analysis on psychometric assessment and survey data, minimal differences in performance were observed, though neurodivergent individuals scored slightly lower on numerical ability and reported lower levels of Extraversion and Emotional Stability. Neurodivergent individuals also completed online tests more quickly on average. While neurodivergent participants reported lower mood overall (both before and after online test administration), there was no change in mood attributable to the online tests for either group. Both neurodivergent and neurotypical groups rated the assessments neutrally in terms of ease of use, with minimal negative behaviours observed.
Study 2 (N = 23) utilised qualitative methodology to explore subjective experiences of online psychometrics through 8 focus groups. After taking various online psychometrics, participants discussed their emotional responses, support needs, personal preferences, and feedback on the testing process. Both neurodivergent (n = 21) and neurotypical (n = 2) individuals reported similar experiences, such as the value of autonomy, interface simplicity, availability of breaks, and practice questions. Differences arose around language complexity, item ambiguity, need for accommodations, some platform feature preferences, and feelings of vulnerability, particularly among neurodivergent participants.
In Study 3 (N = 55), we examined how neurodivergent (n = 47) and neurotypical (n = 8) participants experience Situational Judgement Tests, focusing on variations in response format, hypotheticality, contextualisation, and scenario length. Using survey methodology, a slight preference was found for most/least response formats over graded rating formats. Furthermore, higher degrees of hypotheticality were preferred by most groups, whilst increased levels of contextualisation and shorter scenarios were preferred by all.The Digital Futures at Work Research Centre (Dig.IT) will establish itself as an essential resource for those wanting to understand how new digital technologies are profoundly reshaping the world of work. Digitalisation is a topical feature of contemporary debate. For evangelists, technology offers new opportunities for those seeking work and increased flexibility and autonomy for those in work. More pessimistic visions, in contrast, see a future where jobs are either destroyed by robots or degraded through increasingly precarious contracts and computerised monitoring. Take Uber as an example: the company claims it is creating opportunities for self-employed entrepreneurs; while workers' groups increasingly challenge such claims through legal means to improve their rights at work.
While such positive and pessimistic scenarios abound of an increasingly fragmented, digitalised and flexible transformation of work across the globe, theoretical understanding of contemporary developments remains underdeveloped and systematic empirical analyses are lacking. We know, for example, that employers and governments are struggling to cope with and understand the pace and consequences of digital change, while individuals face new uncertainties over how to become and stay 'connected' in turbulent labour markets. Yet, we have no real understanding of what it means to be a 'connected worker' in an increasing 'connected' economy. Drawing resources from different academic fields of study, Dig.IT will provide an empirically innovative and international broad body of knowledge that will offer authoritative insights into the impact of digitalisation on the future of work.
The Dig.IT centre will be jointly led by the Universities of Sussex and Leeds, supported by leading experts from Aberdeen, Cambridge, Manchester and Monash Universities. Its core research programme will cover four broad-ranging research themes. Theme one will set the conceptual and quantitative base for the centre's activities. Theme two involves a large-scale survey of Employers' Digital Practices at Work. Theme three involves qualitative research on employers' and employees' experiences of digitalisation at work across 4 sectors (Creative industries, Business Services, Consumer Services, Public Services). Theme 4 examines how the disconnected attempt to reconnect, through Public Employment Services, the growth of new types of self-employment, platform work and workers' responses to building new forms of voice and representation in an international context. Specific projects include:
1. The Impact of Digitalisation on Work and Employment
-Conceptualising digital futures, historically, regionally and internationally
-Comparative regulation of digital employment
- Mapping regional and international trends of digital technology and work
2. Employers' Digital Practices at Work Survey
3. Employers' and employees' experiences of digital work across sectors
-Changing management processes and practices
-Workers' experiences of digital transformation
4. Reconnecting the disconnected: new channels of voice and representation
- displaced workers, job search and the public employment service
- self-employment, interest representation and voice
Dig.IT will establish a Data Observatory on digital futures at work to promote our findings through an interactive website, report on a series of methodological seminars and new experimental methods and deliver extensive outreach activities. It will act as a one-platform library of resources at the forefront of research on digital work and will establish itself as a focal point for decision-makers across the policy spectrum, connecting with industrial strategy, employment and welfare policy. It will also manage an Innovation Fund designed to fund novel research ideas, from across the academic community as they emerge over the life course of the centre.</p
