Multilevel and Longitudinal Statistical modelling for Qualitative researchers (online)Info Location Additional Items Contact More Info Course InformationMultilevel and longitudinal statistical models are increasingly common in social science research. Many researchers whose interests are substantive rather than methodological struggle to understand these techniques and they are disinclined to engage with research that employs these approaches. This workshop is designed for researchers who would like to learn about multilevel and longitudinal statistical models. This one day workshop will be orientated towards researchers who do not normally use statistical methods but would like to be introduced to multilevel and longitudinal statistical models. It will be ideal for busy researchers who do not have time to go on longer workshops or courses. It will also be a useful refresher course for researchers whose last encounter with statistics was during their undergraduate degree. If you frequently skip over tables of statistical modelling results when reading journal articles, then you will benefit from attending this workshop. The event is intended to be engaging and informative. Mathematical ability is not required. Conceptual ideas relating to statistical modelling will be introduced at a level that, although technically elementary, shows how statistical ideas can address major social scientific issues. This course is also suitable for researchers who have attended the previous NCRM course Statistical Modelling for Qualitative Researchers. Course Timings: 10:00 – 16:00 Course CodeNCRMMLSM Course LeaderProfessor Vernon Gayle
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Contact InformationShould you have any questions please contact Laura Marshall [email protected] Tel - 0131 651 3001 Additional InformationProfessor Vernon Gayle is a Co-Director of the ESRC National Centre for Research Methods. He is Professor of Sociology and Social Statistics at the University of Edinburgh. His methodological interests include the analysis of large-scale and complex social science datasets, statistical modelling, longitudinal data, administrative social science data, missing data methods and transparent and reproducible research. His main substantive research interests include social stratification, the sociology of youth and the sociology of education. He also has research interests in migration, subjective well-being, populations, fertility, digital social research and the sociology of sport. The fee (online courses) per teaching day is:
Cancellation Policy: Please be reminded that you will be charged the full registration fee if you cancel your place within 4 weeks before the training delivery date or you fail to attend. If you are able to fill the place on the course you are cancelling then the cancellation charge will not apply. |