2026 Multilevel – Analyzing Comparative Longitudinal Survey Data Using Multilevel Models-申请方

2026 Multilevel – Analyzing Comparative Longitudinal Survey Data Using Multilevel Models

暑期学校招满即止

项目时间：2026.07.01 - 2026.07.03

报名

主办方

Pompeu Fabra University

暑期学校介绍

City: Barcelona
Language: English
Credits: 0 EC

About
Many surveys spanning multiple countries--or many regions within a single country--are now being fielded multiple times over the course of years or even decades. Examples include the European Social Survey, International Social Survey Programme, EU Statistics on Income and Living Conditions, and (across states) the U.S. and German General Social Surveys. The range of topics that can be studied using data from these surveys is extremely broad: from health to religiosity to social and political attitudes and behaviors. This course will show students how to analyze these comparative longitudinal survey data (CLSD) using multilevel models that exploit any or all of three different kinds of variation: differences between countries, change within countries over time, and variation across individuals.

We will begin by considering the structure of CLSD, and then what fixed effects and random effects (multilevel) models each reveal about the variation between and within groups in data characterized by clustering. We will see how CLSD can be understood as doubly hierarchical (or clustered), and therefore how we can analyze them with models partitioning between and within effects. We will also consider the capabilities of societal growth curves, and the insights that can be gained from models with random (country-specific) slopes. The course will emphasize the use of graphical analysis throughout, and note some risks that analysts of CLSD need to avoid.
Course leader
Alexander Schmidt-Catran - Goethe University Frankfurt

费用

420 EUR

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申请要求

Professionals, researchers and students who wish to develop high-quality surveys and employ up-to-date statistical methods for survey and quantitative data analyses. Potential attendees include survey practitioners, marketing professionals, social science students, and researchers.

						Fee info
			
									Fee
					420 EUR, for students
										Fee
					560 EUR, for researchers
								
			Fee     700 EUR, for professionals

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庞培法布拉大学

Pompeu Fabra University

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