Multilevel Analysis for Quantitative Social Science

Description:

The course will be innovative in its approach to teaching MLM by providing both theoretical and practical parts, which give participants the opportunity to apply what they have learnt. Students will have the opportunity to informally present their own work and to receive feedback from experts and peers. It will also give students a deeper understanding of interdisciplinary uses of MLM. 

Day one (9:30am - 5:30pm): Day one will consist of two theoretical parts and one practical afternoon session. In the morning participants will be given an introduction to multilevel modelling (MLM) and will learn the theoretical basis of random intercept models. In the afternoon they will learn about random slope models, how to add contextual variables and interpret interactions. They will then apply what they have learnt in a practical session, which will teach students how to conduct and interpret random intercept and random slope models in SPSS.

Day two (9:15am - 5pm): On the second day participants will learn about advanced applications of MLM. They will be introduced to the application of MLM for repeated measures designs and will gain insights into practical issues of MLM. They will also be introduced to different statistical packages available for conducting MLM. In the practical afternoon session participants will be given the opportunity to work on their own data and present this work to the class, and get expert feedback from the course leaders. This provides an informal, comfortable environment in which participants can share their thoughts, feelings and concerns of their own MLM data analyses with the staff experts and other peers. This will provide participants with a unique, innovative opportunity to understand how MLM methods apply to different disciplines, which is important for the advancement of social sciences.

Course instructors:

 Hannah Swift is a Research Fellow in the School of Psychology at the University of Kent. Using multilevel modelling her research explores the psychological and sociological predictors of attitudes to age using the Experiences and Expression of Ageism module in the European Social Survey.  She has taught multilevel modelling within the School of Psychology, but also through workshops organised the Graduate School at the University of Kent. For more see (http://www.kent.ac.uk/psychology/people/swifth/)

 Heejung Chung is a Senior Lecturer in Sociology and Social Policy at the University of Kent. Her research deals with cross-national comparison of work-life balance and working conditions focusing on the role institutions and socio-economic factors play therein. This is done through the use of multilevel modelling approaches with comparative European data sets. She has organised several multilevel modelling workshops at Tilburg University and University of Hamburg geared towards social science students and researchers interested in cross-national comparative perspectives. For more see http://www.kent.ac.uk/sspssr/staff/academic/c-d/chung-heejung.html

Cost:

Non-SEDTC UK PhD students: £30
SEDTC: £0
Five ESRC travel bursaries of up to £120 are available for non-South East Doctoral Training Centre (SEDTC) students (standard/economy travel) on a first-come-first-served basis. After booking a place, non-SEDTC students should contact skills@kent.ac.uk regarding the availability of a travel bursary and for information on how to claim back travel expenses.

Website and registration:

http://store.kent.ac.uk/browse/extra_info.asp?compid=1&modid=1&deptid=46&catid=200&prodvarid=94

Region:

South East

Keywords:

Quantitative Data Handling and Data Analysis

Related publications and presentations:

Quantitative Data Handling and Data Analysis

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