Share Description
The course will guide you through the various stages of the research cycle, providing you with the fundamental knowledge required for any Master's programme, but with a special emphasis on urban and local development. The course begins with an overview of the problem statement, research objective, empirical cycle, and research question. You will also learn the components and criteria of the theoretical framework and operationalization, research strategies, and the collection and analysis of quantitative and qualitative data over the next few weeks. You will be given the tools you need to understand and evaluate these key steps in scientific research by watching video lectures with in-video questions and completing the final peer review, which will incorporate all of the elements you have learned throughout the course.
Syllabus :
1. Research Topic
- Introduction to Week
- Problem Statement
- Research Objective / Empirical Cycle
- Research Question
- Testimonial 1 - Introduction to Julia's research
2. Theoretical Framework and Operationalization
- Introduction Video
- Knowing What is Known: Literature Review
- Conceptualisation
- Conceptual Framework
- Operationalization
3. Research Strategies
- Introduction to Research Strategies
- Strategy Validity and Reliability
- Surveys
- Experiments
- Quasi Experiments
- Case Studies - Defining a case study and when to use it
- Case Studies - Types of case studies
- Desk Research
- Hanna's Testimonial: Researching commuting to work by bicycle in Rotterdam.
- Hanna's Testimonial: Choosing a suitable strategy
4. Quantitative and Qualitative Data
- Introduction Video
- Sampling
- Primary Quantitative Data Collection
- Secondary Quantitative Data Collection
- Primary Qualitative Data Collection - Part One
- Primary Qualitative Data Collection - Part Two
- Constructing a Questionnaire
- Administering a Questionnaire
- Preparing and Conducting Interviews
5. Quantitative and Qualitative Analysis
- Introduction Video
- Qualitative Data Analysis: Data Management
- Qualitative Data Analysis: Introduction to Coding
- Qualitative Data Analysis: Tips for Coding
- Qualitative Data Analysis: How to analyse the data
- Qualitative Data Analysis: Reliability and Validity
- Data Analysis: Primary Quantitative Data Analysis
- Primary and Secondary Quantitative Data Preparation
- Data Analysis: Secondary Quantitative Data Analysis
- Data Analysis: Quantitative Data Analysis
