Introduction to Multi-Level Modelling

Schedule: 4-5 August, 2025 (09.30-15.30 Jakarta Time)

About

Given that data in social sciences are naturally nested, we need to address such a structure in which individuals are nested within families, neighborhoods, schools, and geographical areas. The course will provide an understanding of the concepts of the multilevel model and its application in social sciences.

To deliver these things, the course is divided into two parts: theoretical and practical. In the theoretical section, we discuss the theoretical assumption and the underlying multilevel model. In the practical section, we explore, dive into, and estimate the multilevel model. Two elective case studies will be provided in this course: the multilevel model in education, where students are clustered into schools. Another application is the analysis of cross-country data, such as the World Values Survey, while the second concerns values and attitudes worldwide, considering individual and country-specific characteristics.

The course will focus on the two-level linear model as a template to illustrate the issues of specification, estimation, and inference. Although each lesson includes guided exercises using R, no prior knowledge of R is required.

Instructor

Adi Cilik Pierewan

Affiliation: Universitas Negeri Yogyakarta, Indonesia

Samuel David Blanch is an accomplished academic with a Ph.D. from the Australian National University, specializing in knowledge, ethics, and art in Shia Islam. His diverse educational background includes a Master’s in Sociology and Anthropology of Religion from King’s College London and a Juris Doctor with honors from ANU, his work spans law, religion, and social justice. He has held research fellowships at prestigious institutions, published in academic journals, and delivered numerous conference presentations. His interdisciplinary expertise is complemented by teaching roles and contributions to international academic discourse on law, religion, and ethics.