Training in latent variable modelling based on archived social science datasets in Northern Ireland
Lead Research Organisation:
University of Ulster
Department Name: Sch of Psychology
Abstract
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Organisations
| Description | The project has resulted in an expansion of training in multivariate statistical analysis beyond Northern Ireland. The project was designed to be regional, but has had broader impact. One survey respondent wrote-" I have published a number of papers in peer reviewed journals, established collaboration with a number of academics around the world, and introduced LVM training in Northern England. I have established Quantitative Research Methods Training Unit (QRM-TU) at University of Huddersfield w |
| Exploitation Route | The attendees on the course had the most direct benefit, and the benefit may have spread through small working groups of academics and researchers as almost all survey respondents indicated that they strongly agreed with the statement that "Since the course I have discussed latent variable modelling with other researchers". In addition broader societal impacts will be derived from the growing use of LVM techniques as researchers will be increasingly able to specify and test complex hypotheses in |
| Sectors | Education,Healthcare |
| URL | http://www.restore.ac.uk/resources/latentvariable.html |
| Description | Based on our contact with attendees and feedback based on the workshops many participants at the 2 one-week summer schools and six one-day masterclasses have subsequently (1) used latent variable modelling (LVM) in their own research, (2) have become critical consumers of the research literature that employs LVM techniques, and (3) developed informal networks of researchers and students involved in LVM. many participants have also made use of the range of data available in the UK data archive. We believe that this training programme has contributed to reducing the skills deficit in quantitative research methods across the social science research base that was being tackled by the ESRC's Quantitative Methods Initiative. We have recently discussed the project with our partners at UEL and Stirling University. The latent variable modelling software, that was left in these universities as part of the project legacy, is being used by researchers and research students. We are aware that some attendees have subsequently employed LVM techniques in their doctoral theses. One attendee applied for a senior research fellowship from the MRC, based on a project extensively using LVM techniques. |
| Sector | Education,Healthcare |
| Impact Types | Economic |