Computerised adaptive method for assessing university undergraduates’ mental well-being within an African context : an open-source set-up with Concerto

dc.contributor.authorOladele, Jumoke Iyabode
dc.date.accessioned2025-01-21T08:47:49Z
dc.date.available2025-01-21T08:47:49Z
dc.date.issued2025-06
dc.descriptionDATA AVAILABILITY : The data on the Concerto parameter table and simulation report are available at: https://osf.io/24czv/ and https://osf.io/jr8w5 respectively.en_US
dc.description.abstractThis research presents the development of a computerised adaptive testing system for assessing university undergraduates' mental health in an African setting. An item pool of 375 items that reflect eight sub-constructs of mental well-being (coping with normal stress of life, realising potential, studying effectively, social interaction, school-life balance, emotional stability, healthy living, and belief system) was developed. FastTest was used to pilot-test the item using a sample of 406 undergraduate students from South Africa and Nigeria. Each candidate was given 100 items utilising the linear on-the-fly test administration. Four hundred and seven responses were received which was subjected to psychometric analysis using the Samejima's Graded IRT model to calibrate the items. One hundred and seventy-five items resulted which was used to design the mental wellbeing adaptive scale for use within the university community at no cost to the student and institution. 1. Using concerto, the detailed inflow with an html embedded function is clearly explained. 2. The scale dynamically adjusts the difficulty/relevance of questions based on respondents' previous answers, thereby enhancing precision and reducing users test burden. 3. An adaptable, scalable, and culturally appropriate non-illness method for assessing students’ mental wellbeing being an improvement on the linear form is presented.en_US
dc.description.departmentPsychologyen_US
dc.description.librarianhj2024en_US
dc.description.sdgSDG-03:Good heatlh and well-beingen_US
dc.description.sponsorshipA grant from the Carnegie Corporation of New York which was deployed through the Future Africa Research Leadership programme.en_US
dc.description.urihttp://www.elsevier.com/locate/methodsxen_US
dc.identifier.citationOladele, J.I. 2025, 'Computerised adaptive method for assessing university undergraduates’ mental well-being within an African context : an open-source set-up with Concerto', MethodsX, vol. 14, art. 103140, pp. 1-9, doi : 10.1016/j.mex.2024.103140.en_US
dc.identifier.issn2215-0161 (online)
dc.identifier.urihttp://hdl.handle.net/2263/100207
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2025 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).en_US
dc.subjectMental wellbeingen_US
dc.subjectComputerised adaptive testing (CAT)en_US
dc.subjectSamejima's graded IRT modelen_US
dc.subjectConcertoen_US
dc.subjectUniversity undergraduatesen_US
dc.subjectSDG-03: Good health and well-beingen_US
dc.titleComputerised adaptive method for assessing university undergraduates’ mental well-being within an African context : an open-source set-up with Concertoen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Oladele_Computerised_2025.pdf
Size:
2.65 MB
Format:
Adobe Portable Document Format
Description:
Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: