Advanced Multilevel Modelling

Description:

Multilevel Modelling (MLM) is a flexible statistical technique that allows us to examine effects of groups or contexts on individual outcomes. MLM has found fertile ground in educational research as it facilitates working with clustered or hierarchical data frequently encountered in the field (e.g., students nested within classrooms, teachers nested within schools, measurement occasions nested within individuals, schools within countries, etc.)

Examples of multilevel research in education include studying the impact of school characteristics on student outcomes and analysing change on subjects measured on multiple occasions.

This one-day workshop will introduce advanced MLM by providing an overview of MLM for change to model longitudinal data and advanced MLM for non-hierarchical data structures (i.e., cross-classified and multiple membership models). Lectures will be combined with hands-on practical exercises using the software packages SPSS and R.

Course Programme

09:00-10:30 MLM for change

10:30-10:45 Break
10:45-12:00 Cross-classified models

12:00-12:30 Lunch break
12:30-14:00 Multiple membership models

14:00-14:15 Break

14:15-16:00 Practise session

Course prerequisites: Participants need to have attended the Introduction to Multilevel Modelling course or be familiar with multilevel modelling

Please note that car parking is not available at the venue. Please visit https://www.ox.ac.uk/visitors/visiting-oxford/how-get-oxford?wssl=1 and http://www.manor-road.ox.ac.uk/index.php/finding-us-google-map.html for further information on public transport and park and ride options.

Cost:

£100 for external students

Website and registration:

http://www.oxforduniversitystores.co.uk/browse/product.asp?compid=1&modid=2&catid=133

Region:

South East

Keywords:

Quantitative Data Handling and Data Analysis

Related publications and presentations:

Quantitative Data Handling and Data Analysis

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