Check out the updated list for this year!
Winter is ending and we are considering what exciting things we’ll do this summer. One option is to go to one of the many summer schools on research methods that are available in Europe. These have become very popular recently and there are quite a few of them around now. To help you with the decision I listed below the main methods summers schools available in 2019. Here I focus on those summer schools that cover the analysis and collection of data in the social sciences. Below are the main summer schools I found. Happy learning!
Content
- Barcelona Summer School in Survey Methodology
- ECPR Summer School
- Essex Summer School
- GESIS summer school in survey methodology
- LSE Summer School
- Methods@Manchester summer school
- Swiss summer school
- Utrecht Summer School
Details of methods summer schools in Europe
Barcelona Summer School in Survey Methodology
Dates: 01 July – 12 July 2019
Location: Barcelona, Spain
Costs: 115-550 euro
Courses:
- Introduction to STATA
- A subtle introduction to R
- MULTILEVEL 1 (Practical multilevel modelling)
- MULTILEVEL 2 Analyzing Comparative Longitudinal Survey DataUsing Multilevel Models
- Questionnaire designand correction for measurement errors
- Applied Sampling
- Causal Inference 1 (Nonexperimental data)
- Causal Inference II (Survey Experiments)
- Bayesian Modelling
- Social NetworkAnalysis
- Implementing high-quality web surveys
- Machine Learning for Social Sciences
- Big Data and Social Media Research 1
- Big Data and Social Media Research 2
ECPR Summer School
Dates: 26 July – 9 August 2019
Location: Budapest, Hungary
Costs: 280-1495 euro
Courses:
- R Basics
- Python Programming for Social Scientists
- Introduction to STATA
- Refresher in Regression
- Introduction to Exploratory Network Analysis
- Introduction to NVivo for Qualitative Data Analysis
- Introduction to Interpretive Research Designs
- Multi-Method Research: Techniques and Applications
- Methods in Political Theory and Normative Analysis
- Case Study Research: Method and Practice
- Introduction to Process Tracing Methodology
- Process Tracing Methodology in Practice
- Qualitative Comparative Analysis and Fuzzy Sets
- Longitudinal Research Designs – Qualitative Approaches
- Introduction to Experimental Research in the Social Sciences
- Experimental Research: Theory Development, Hypothesis Generation and Empirical Tests
- Causal Inference in the Social Sciences I
- Causal Inference in the Social Sciences II
- Expert Interviews for Qualitative Data Generation
- Visual Politics, Visual Organizations
- Ethnographic and Other Field Research Methods: Basics
- Ethnographic and Other Field Research Methods: Advanced
- Automated Collection of Web and Social Data
- Big Data Analysis in the Social Sciences
- Survey and Questionnaire Design
- Introduction to Inferential Statistics
- Multiple Regression Analysis: Estimation, Diagnostics, and Modelling
- Qualitative Data Analysis: Concepts and Approaches
- Analysing Political Discourse I: Theories, Concepts and Research Designs
- Analysing Political Discourse II: Analyses and Applications
- Introduction to Quantitative Text Analysis
- Multivariate Statistical Techniques for Comparing Countries
- Introduction to Logistic Regression and General Linear Models
- Social Networks: Theoretically Informed Analysis with UCINET
- Intermediate R: Capacities for Analysis and Visualisation
- Quantitative Text Analysis
- Advanced Topics in Applied Regression
- Applied Multilevel Regression Modelling
- Social Network Analysis and Visualization with R
- Introduction to Structural Equation Modelling
- Panel Data Analysis
- Game Theory
- Multilevel Structural Equation Modelling
- Maths for Social Scientists
- Knowing and the Known
Essex Summer School
Dates: 08 July – 16 August 2019
Location: Colchester, UK
Costs: 550-1100 pounds
Courses:
- Introduction to R
- Mathematics for Social Scientists, Part 1
- Introduction to Quantitative Text Analysis
- Applying Regression
- Introduction to Social Network Analysis
- Introduction to Multilevel Models
- Introduction to Survey Data Analysis
- Longitudinal Data Analysis
- Qualitative Data Analysis: Methodologies for Analysing Text and Talk
- Introduction to Qualitative Interviewing
- Beyond OLS: Categorical, Choice, and Count Models
- Machine Learning for Social Scientists
- Introduction to Statistics for Social Science Research with SPSS
- Data Analysis and Programming in Stata
- Methods for Fieldwork in Social Science
- Mathematics for Social Scientists, Part 2
- Quantitative Data Analysis with R
- Advanced Survey Data Analysis and Survey Experiments
- Case Study Methods
- Multilevel Models: Practical Applications
- Advanced Methods for Social Media & Textual Data
- Panel Data Analysis for Comparative Research
- Mixed Methods Research
- Applying Discourse Theory – Politics, Ideology, Populism
- Microsimulation modelling for the social sciences
- Causal Inference and Experiments in the Social Sciences
- Generalized Linear Models
- Introduction to Applied Bayesian Analysis for the Social Sciences
- Web Scraping and Data Management in R
- Ethnography and Ethnographic Methods
- Advanced Social Network Analysis
- Applied Research Methods with Hidden, Marginal and Excluded Populations
- Mathematics for Social Scientists, Part 3
- Quantitative Text Analysis
- Identifying Causation through Experimental & Quasi-Experimental Research
- Maximum Likelihood Estimation
- Bayesian Analysis for the Social and Behavioural Sciences
- Methods for policy analysis and evaluation
- Spatial Econometrics
- Confirmatory Factor Analysis and Structural Equation Modeling with MPLUS
- Advanced Quantitative Data Analysis
- Time Series and Panel Models for Dynamic and Heterogeneous Processes
- Ideal Point Estimation and Scaling Methods
- Advanced Machine Learning for Social Scientists
- Agent Based Models
GESIS summer school in survey methodology
Dates: 01 – 23 August 2019
Location: Cologne, Germany
Costs: 120-450 euro
Courses:
- Using Mplus for Latent-Variable Modeling
- Research Designs and Causal Inference
- Introduction to Data Analysis Using Stata
- Open Access to Research Data
- Introduction to Survey Design
- Introduction to Structural Equation Modeling
- Questionnaire Design
- Mathematical Tools for Social Scientists
- Introductory Course to R with Applications from Data Analysis
- Mixed Mode and Mixed Device Survey
- Statistical Analysis of Incomplete Data
- Design and Implementation of Longitudinal Surveys
- Questionnaires for Cross Cultural Surveys
- Sampling, Weighting, and Estimation
- Pretesting
- Factorial Survey Design
LSE Summer School
Dates: 17 June – 16 August 2019
Location: London, UK
Costs: 2300-3300 pounds
Courses:
- Introduction to Calculus
- Essential Statistics for Economics and Econometrics
- Computational Methods in Financial Mathematics
- Statistical Methods for Multivariate Data in Social Science Research
- Machine Learning in Practice
- Further Statistics for Economics and Econometrics
- Real Analysis
- Optimization with Applications in Portfolio Choice
- Survey Research Methods: From Design to Analysis
- Introduction to Financial Mathematics
- Qualitative Research Methods
- Causal Inference for Experimental and Observational Studies
- Introduction to Data Science and Machine Learning
- Statistical Methods in Risk Management
Methods@Manchester summer school
Dates: 01 July – 12 July 2019
Location: Manchester, UK
Costs: 600-1000 pounds
Courses:
- Creative approaches to qualitative research
- Introduction to social network analysis using UCINET and Netdraw
- Getting started with R
- Generalized linear models
- Research methods in political economy
- Introduction to Arc Pro
- Introduction to longitudinal data analysis using R
- Advanced social network analysis
- Data visualization
- Quantitative policy evaluation
Swiss summer school in social science methods
Dates: 16 July – 30 August 2019
Location: Lugano, Switzerland
Costs: 700-1100 swiss francs
Courses:
- SPSS and Statistics Refresher
- Data management
- Structural Equation Modeling I
- Statistics with SPSS for Social Scientists
- Case Studies: Design, Methods, and Reporting
- Qualitative Comparative Analysis
- Content Analysis and Natural Language Processing
- Analysis of Variance (ANOVA) and Experimental Design
- Multilevel models: Practical applications
- Ethnographic Methods: Sociological ethnography in practice
- Factor Analysis and Latent Class Analysis
- Multilevel Structural Equation Modeling
- Analysis of Social Networks
- Designing Your (Academic) Future
Utrecht Summer School
Dates: 15 April – 23 August 2019
Location: Utrecht, Netherlands
Costs: 200-600 euro
Courses:
- Applied Bayesian Statistics
- Mplus: How to get started?
- Hypothesis Evaluation: P-Values, Bayes Factor, and Information Criteria
- Introduction to Structural Equation Modeling using Mplus
- Introduction to Multilevel Analysis
- Advanced course on using Mplus
- Advanced Multilevel Analysis
- Data Science: Statistical Programming with R
- Data Science: Multiple imputation in practice
- Data Science: Data Analysis and Visualization
- Applied Multivariate Analysis
- Modeling the dynamics of intensive longitudinal data
- Survey Research: Design, Implementation and Data Processing
- Survey Research: Statistical Analysis and Estimation
- A Gentle Introduction to Bayesian Statistics
- Advanced Survey Design
Is a summer school missing or did I get something wrong? Write bellow!
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