The course aims at making students familiar with the key problems, tools, and techniques of social sciences methodologies, in order to enable them to structure and conduct basic research projects. As a further objective, the course will enable students to understand and critically assess the results of empirical research in the social sciences. Knowledge and understanding: Knowledge of: 1) the fundamental problems of social research; 2) the structuring of the different phases of the research cycle and of the problems, objectives, and specific tools of each phase (from the identification of the research question to the presentation of the results) in both qualitative and quantitative research designs. Applying knowledge and understanding: Ability to competently use the appropriate tools for each phase of the research, identifying problems and possible solutions through the appropriate tools. Resulting ability to structure an effective research project. Making judgements: Familiarity with the alternative choices present in each research project phase, and with the need to compromise between different objectives. Understanding of the arbitrary choices necessary in each phase of the research, the potential subjectivity of the results of the single research, and therefore the objectivity of science only as intersubjectivity across different research that publicly disclose the methods and choices used. Communications Skills: Ability to interact with clients and to present the research results in different forms (oral presentation with slides, small research report, scientific article). Learning skills: Critical and conscious perspective towards the results of social research. Concrete understanding of the cumulative learning method of the social sciences, the crucial importance of empirical data for studying social reality, and the construction of cumulative knowledge.

Knowledge and understanding: Knowledge of: 1) the fundamental problems of social research; 2) the structuring of the different phases of the research cycle and of the problems, objectives, and specific tools of each phase (from the identification of the research question to the presentation of the results) in both qualitative and quantitative research designs. Applying knowledge and understanding: Ability to competently use the appropriate tools for each phase of the research, identifying problems and possible solutions through the appropriate tools. Resulting ability to structure an effective research project. Making judgements: Familiarity with the alternative choices present in each research project phase, and with the need to compromise between different objectives. Understanding of the arbitrary choices necessary in each phase of the research, the potential subjectivity of the results of the single research, and therefore the objectivity of science only as intersubjectivity across different research that publicly disclose the methods and choices used. Communications Skills: Ability to interact with clients and to present the research results in different forms (oral presentation with slides, small research report, scientific article). Learning skills: Critical and conscious perspective towards the results of social research. Concrete understanding of the cumulative learning method of the social sciences, the crucial importance of empirical data for studying social reality, and the construction of cumulative knowledge.

The course examines the different stages of the lifecycle of social research, taking into account both qualitative and quantitative approaches. It is divided into two parts, led by two different instructors. The first part (week 1-6) focuses on quantitative research methods, providing an overview of its foundational principles and practical applications. By the end of the first part, students should have an enhanced understanding of why social scientists rely on numbers and what implications this has for understanding real world social and political problems. The course will focus on data analysis, introducing students to some of the basic statistical skills employed in social sciences. They will use STATA, a user-friendly statistical software program, which will give them the opportunity to analyse real political data. At the end of the course, students will be comfortable not only reading and interpreting material that relies on quantitative data but also using data in their own research. Week 1 will begin with a discussion of the scientific method and hypothesis testing. Week 2 will provide a general overview of quantitative research methods. The use of numbers to measure concepts will be discussed. Students will learn how to evaluate the accuracy of measures in terms of both their reliability and validity. Week 3 will cover levels of measurement and the coding of variables using Stata syntax and graphical illustrations. Week 4 will focus on quantitative research design with an emphasis on survey research. Week 5 will cover univariate and bivariate statistics, crosstabs, and measures of association. Week 6 will cover multivariate relationships, concluding with multivariate linear regression. The second part (week 7-12) will focus on qualitative research methods. After gaining insight into the goals, philosophical underpinnings and key elements of qualitative research (week 7), students will be guided through all the fundamental stages of a qualitative research process. They will learn to formulate meaningful qualitative research questions, select samples, and understand the difference between the researcher's role in qualitative and quantitative inquiry (week 8). During class discussions and practical exercises, they will explore different data collection methods like interviews, focus groups, and observations (weeks 9-10). Substantial theoretical and practical attention will be given to data analysis techniques (week 11) and the concepts of reliability and validity in qualitative research (week 12). Finally, real-world perspectives will be incorporated thanks to a session, where the students can critically discuss the challenges of a large-scale qualitative project with a guest speaker (week 12).

For the quantitative part: Paul M. Kellstedt and Guy D. Whitten. 2018. Fundamentals of Political Science Research. 3rd Edition. Cambridge University Press. https://www.cambridge.org/highereducation/books/the-fundamentals-of-political-science-research/D216914982BC901C8E50461818D387A7#overview For the qualitative part: Merriam, S., & Tisdell, E. (2015). Qualitative Research (4th ed.). Wiley. https://www.perlego.com/book/995799/qualitative-research-a-guide-to-design-and-implementation-pdf

Class teaching, interviews and data analysis exercises.

The course includes two different types of assessments: individual and group. 1) INDIVIDUAL: For the individual assessment, students will have to take two multiple-choice exams. The first will take place in week 6 of the course and cover the course content from week 1 to week 6. The second will be held in week 12 and cover the topics covered in weeks 7 to 11. Both will last approximately 30 minutes, and the maximum grade will be 30. 2) GROUP: For the group assessment type, students will be required to develop a small research project involving the planning, execution, and analysis of an interview for the qualitative part of the course and the analysis of survey data for the quantitative part. Further details on the modalities and timing of the projects will be provided in the first lesson of the course. The grade will be collective, and the maximum mark will be 30. The weight of each test is distributed as follows: MC exam (week 7): 35% MC exam (week 12): 35% Group project: 30% Attendance is mandatory and will be taken for every class session. Non-attending students must register for one of the “appelli”, submit a methodological reflection paper three days before the exam (on a topic agreed upon in advance with the course lecturers), and take an in-person multiple-choice exam covering both the quantitative and qualitative parts of the program. The final grade will correspond to the weighted average score of these assessments.

Criteria for accepting requests are: 1) Exam grade 2) Quality of the proposed project Thesis requests should be presented as a one-page project, with short reference lists and a suggested index. The project should briefly detail the research question and the specific case studies considered. Potentially acceptable requests will be discussed together by the instructors and the student.