Quantitative methods for empirical research
A.A. 2025/2026
Obiettivi formativi
Non definiti
Risultati apprendimento attesi
Non definiti
Periodo: Secondo trimestre
Modalità di valutazione: Giudizio di approvazione
Giudizio di valutazione: superato/non superato
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Edizione unica
Responsabile
Periodo
Secondo trimestre
Programma
NB: The content and pace of the course might be adapted based on the class progress.
Session 1 - Course Introduction; Scientific Inference & Good Research Questions
Session 2 - The Basics of Statistical Research I & Introduction to Stata
Session 3 - The Basics of Statistical Research II
Session 4 - Hypothesis-Testing, Testing Bivariate Relations
Session 5 - LAB SESSION: Describing Reality with Statistics
Session 6 - Testing Multivariate Relations
Session 7 - Multivariate OLS II; Writing Up Results
Session 8 - Students' Research Design Presentations; OLS extensions
Session 9 - OLS extensions; Lab Session
Session 10 - Closing Session; Lab Session
Session 1 - Course Introduction; Scientific Inference & Good Research Questions
Session 2 - The Basics of Statistical Research I & Introduction to Stata
Session 3 - The Basics of Statistical Research II
Session 4 - Hypothesis-Testing, Testing Bivariate Relations
Session 5 - LAB SESSION: Describing Reality with Statistics
Session 6 - Testing Multivariate Relations
Session 7 - Multivariate OLS II; Writing Up Results
Session 8 - Students' Research Design Presentations; OLS extensions
Session 9 - OLS extensions; Lab Session
Session 10 - Closing Session; Lab Session
Prerequisiti
No specific preliminary knowledge is required. Prior to the start of the lab, students will be approached to better understand their background (if any) in quantitative methods, which will be used to adapt the pace of the course, and, if necessary, learning outcomes.
Metodi didattici
The course sessions are set up through a combination of short interactive lectures, class discussions and assignments, and practical lab sessions. Students are expected to come to class prepared, having studied the assigned literature, and are encouraged to come with their questions to class. During the sessions we will keep in mind your potential final project: your own applied research, that could potentially form the basis of your master thesis. If is therefore helpful if students have a research idea in mind that they further develop over the course of the sessions. Students without a research topic will have opportunities to brainstorm during early sessions.
Students are expected to bring their laptop to class, with the Stata software installed. The university provides the license, see https://work.unimi.it/aree_protette/121946.htm.The course sessions are set up through a combination of short interactive lectures, class discussions and assignments, and practical lab sessions. Students are expected to come to class prepared, having studied the assigned literature, and are encouraged to come with their questions to class. During the sessions we will keep in mind your potential final project: your own applied research, that could potentially form the basis of your master thesis. If is therefore helpful if students have a research idea in mind that they further develop over the course of the sessions. Students without a research topic will have opportunities to brainstorm during early sessions.
Students are expected to bring their laptop to class, with the Stata software installed. The university provides the license, see https://work.unimi.it/aree_protette/121946.htm.
Students are expected to bring their laptop to class, with the Stata software installed. The university provides the license, see https://work.unimi.it/aree_protette/121946.htm.The course sessions are set up through a combination of short interactive lectures, class discussions and assignments, and practical lab sessions. Students are expected to come to class prepared, having studied the assigned literature, and are encouraged to come with their questions to class. During the sessions we will keep in mind your potential final project: your own applied research, that could potentially form the basis of your master thesis. If is therefore helpful if students have a research idea in mind that they further develop over the course of the sessions. Students without a research topic will have opportunities to brainstorm during early sessions.
Students are expected to bring their laptop to class, with the Stata software installed. The university provides the license, see https://work.unimi.it/aree_protette/121946.htm.
Materiale di riferimento
- Kellstedt, P.M. and Whitten, G.D. (2018). The Fundamentals of Political Science Research. Cambridge University Press. (Third Edition) - acronym: K&W
- Kellstedt, P.M. and Whitten, G.D. (2019). A Stata Companion for the Third Edition of The Fundamentals of Political Science Research. Cambridge University Press. - acronym: K&W-Stata.
Access is provided to the online Cambridge versions of these books through the University library Minerva.
Specific readings are assigned to each session (see extended syllabus on MyAriel).
- Kellstedt, P.M. and Whitten, G.D. (2019). A Stata Companion for the Third Edition of The Fundamentals of Political Science Research. Cambridge University Press. - acronym: K&W-Stata.
Access is provided to the online Cambridge versions of these books through the University library Minerva.
Specific readings are assigned to each session (see extended syllabus on MyAriel).
Modalità di verifica dell’apprendimento e criteri di valutazione
This is a pass/fail course. Active class participation is mandatory. Students are allowed to miss up to two sessions with a valid reason, but there is a strict 80% minimum participation required to pass the course. Exercises are assigned during each practical session. The final assignment is a short research paper in which students ultimately answer their own research question by empirically testing the derived hypotheses.
Docente/i