The Cathie Marsh Institute organises various events throughout the year. From seminars and conferences to workshops and short courses, our events reflect our research themes.
We run introductory, intermediate to advanced courses on all aspects of the research process, including research design, data collection and data analysis.
Courses from our centres
As well as those events listed here, we also run seminars, courses and workshops at:
- The Mitchell Centre for Social Network Analysis
- National Centre for Research Methods
- Centre on Dynamics of Ethnicity
- UK Data Service Events
Next courses and events
This one-day course begins with a description of some examples where multilevel models are useful in statistical analysis and some examples of multilevel populations. We then cover the basic theory of multilevel models including random intercept and random slope specifications, the use of contextual variables in multilevel analysis and modelli..
Are you an ESRC grant holder, whose grant has ended and is required to submit your research data into the ReShare repository? Are you a researcher interested in depositing data into ReShare to make them available for reuse, or as evidence for a published paper? Are you just curious to explore how publishing in ReShare happens in practice? Joi..
Data Carpentry workshops are for any researcher who has data they want to analyse, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data. On completion of this course, the participants will be able to: understand problems which can occur i..
CMI Afternoon Seminar: Resources and reserves in the development of vulnerability over the life course. A conceptual proposal - Dr Stephane Cullati
Speaker: Dr Stephane Cullati, University of Geneva Abstract: An abstract will be available closer to the date of the seminar. Tea/coffee and cakes from 2.45. Join us for this event, which is part of the CMI Afternoon Seminar Series. All welcome. No registration necessary. The Cathie Marsh Institute for Social Research (CMI) provides a fo..
This course provides a thorough grounding in the theory and methods of multiple linear regression including model selection, nonlinear relationships and transformations, dummy variables, interaction terms and assumption testing. The course comprises taught and practical components in about equal proportions. The course is designed for users o..
This course examines the fitting of models to predict a binary response variable from a mixture of binary and interval explanatory variables. The approach is illustrated using examples from a social science perspective, including cases where logistic regression models are used as a means of analysing tabular data where one of the dimensions o..
This two-day course aims to introduce participants to measurement theory and the Rasch model for construction and validation of measures. It covers the basic theory behind measurement, from an Item Response Theory perspective, focusing on the assumptions of the Rasch models, in particular. The Rasch model provides the means to create measures..
The course covers cluster analysis concepts and methods in SPSS. It is aimed at those with an interest in developing practical skills to implement clustering techniques and those with an interest in area typologies and classifications. Participants will develop an understanding of clustering methods and procedures in SPSS. By the end of the c..
This two day workshop equips participants with conceptual understanding and technical skills to obtain, analyse and visualise spatial data related to populations and neighbourhoods. Using freely available data related to the UK, a series of guided workshops enable participants to: obtain census and survey data related to geographic areas visu..
The course covers basic concepts in longitudinal design and analysis. The morning session focuses on the strengths and methodological difficulties of the longitudinal approach such as defining longitudinal populations and target samples; levels and dimensions of change; age, period and cohort effects. There will be one small group discussion...