ID:
M516
Tipo Insegnamento:
Obbligatorio
Durata (ore):
60
CFU:
8
SSD:
STATISTICA ECONOMICA
Url:
MANAGEMENT/BASE Anno: 1
Anno:
2023
Dati Generali
Periodo Di Attività
Primo Semestre (11/09/2023 - 02/12/2023)
Syllabus
Obiettivi Formativi
A central mission for universities is to conduct research that both advances a scientific discipline and enlightens practice in a professional domain. To make research not being a solitary exercise but instead a collective achievement it should be carefully designed and implemented.
Different research approaches are available for social scientists: quantitative and qualitative research methods. For each of them there are different research tools that should be implemented.
The overall objective of this course is to present the main steps to develop a rigorous and relevant research for academics and managers.
Different research approaches are available for social scientists: quantitative and qualitative research methods. For each of them there are different research tools that should be implemented.
The overall objective of this course is to present the main steps to develop a rigorous and relevant research for academics and managers.
Prerequisiti
Basic concepts of statistics
Suggested textbooks to fill knowledge gaps: any book on statistics
Suggested textbooks to fill knowledge gaps: any book on statistics
Metodi Didattici
Frontal classes, scientific articles reading, case discussion, individual assignments, group work.
Verifica Apprendimento
For attending students:
Group assignment (50%)
Class participation (20%) - (this rubric includes also preparatory activities between classes which need to be uploaded to padlet)
Exam (30%)
An explanation of the assessment structure will be given in week 1.
For non-attending students:
Individual research project (70%)
Exam 30%
Note: The individual assignment mark cannot be rejected. Non-attending students will have to study an extended program which will be communicated on the LuissLearn platform.
Group assignment (50%)
Class participation (20%) - (this rubric includes also preparatory activities between classes which need to be uploaded to padlet)
Exam (30%)
An explanation of the assessment structure will be given in week 1.
For non-attending students:
Individual research project (70%)
Exam 30%
Note: The individual assignment mark cannot be rejected. Non-attending students will have to study an extended program which will be communicated on the LuissLearn platform.
Testi
Slides, materials and research papers will be listed and made available on the e-learning platform.
Suggested books:
For a reflection on the various steps in the research process, refer to:
• Van de Ven, A. 2011. Engaged Scholarship. Oxford University Press.
For a hand-on, less philosophical overview of the research process, refer to:
• Flick, U. (2020). Introducing research methodology: thinking your way through your research project. London: Sage.
Available through perlego at:
https://www.perlego.com/book/3271686/introducing-research-methodology-thinking-your-way-through-your-research-project-pdf?
queryID=7c539722e74eaab84c419a492d79a357&index=prod_BOOKS&gridPosition=13
For guidance on statistical procedures
• Field, A. (2017). Discovering statistics using IBM SPSS statistics. London: Sage.
• Hinton, P., McMurray, I., & Brownlow, C. (2014). SPSS explained. Routledge.
Available online through perlego at
https://perlego.com/book/1323566/spss-explained-pdf/?utm_medium=share&utm_source=perlego&utm_campaign=share-book)
For guidance on R
• https://intro2r.com/ - This a free open book by Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto & David Lusseau. It helps you to get started with R.
Suggested books:
For a reflection on the various steps in the research process, refer to:
• Van de Ven, A. 2011. Engaged Scholarship. Oxford University Press.
For a hand-on, less philosophical overview of the research process, refer to:
• Flick, U. (2020). Introducing research methodology: thinking your way through your research project. London: Sage.
Available through perlego at:
https://www.perlego.com/book/3271686/introducing-research-methodology-thinking-your-way-through-your-research-project-pdf?
queryID=7c539722e74eaab84c419a492d79a357&index=prod_BOOKS&gridPosition=13
For guidance on statistical procedures
• Field, A. (2017). Discovering statistics using IBM SPSS statistics. London: Sage.
• Hinton, P., McMurray, I., & Brownlow, C. (2014). SPSS explained. Routledge.
Available online through perlego at
https://perlego.com/book/1323566/spss-explained-pdf/?utm_medium=share&utm_source=perlego&utm_campaign=share-book)
For guidance on R
• https://intro2r.com/ - This a free open book by Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto & David Lusseau. It helps you to get started with R.
Contenuti
The course deals with the concept of engaged scholarship, evidencing the crucial step to develop a rigorous and relevant research: formulating the research problem and research question based on an accurate literature review and on the current empirical need; the need for theory building; the choice of the research design; how to collect data and how conduct empirical analyses; and how to communicate the outcomes.
Concerning the research design phase, students will be exposed to quantitative and qualitative methods with empirical application.
Concerning the research design phase, students will be exposed to quantitative and qualitative methods with empirical application.
Risultati Di Apprendimento Attesi
The course will examine the specific issues involved in developing and implementing research methods to solve a managerial decision problem. Students will obtain computer skills such as SPSS for Statistics. The course aims at enabling the students to:
• Develop research for evidence-based managerial problem solving
• Compare strengths and weaknesses of different statistical procedures
• Illustrate findings from statistical analyses effectively
• Perform different types of data-analyses such as OLS regressions
• Interpret results of multivariate data-analysis techniques (e.g., regression, factor analysis, ANOVA)
• Identify advantages and drawbacks of different statistical methods
Knowledge and understanding:
By the end of the course, students should be able to:
• read and interpret scientific papers and reports;
• understand and develop knowldege of research methodology;
• able to evaluate research done and to design a research project;
• able to evaluate and discuss papers.
Applying knowledge and understanding:
Upon completing the study program, students will be able to:
• apply the concepts taught in the course to the different research methodologies;
• diagnose research methodology advantages and drawbacks.
• to implement statistical models to analyze data;
• design, interpret and carry out evidence-based research for decision making in businesses.
Making judgements:
Upon completing the study program, students will be able to:
• define the right statistical technique to use given the nature of the data available
• derive theoretical and managerial implications from statistical data.
Communications Skills:
Upon completing the study program, students will be able to:
• communicate and interpret, process and synthesize data relating to the problems under study;
• acquire the appropriate terminology;
• Communicate evidence-based findings to different audiences.
Learning skills:
Upon completing the study program, students will be able to:
• interpret and understand the various research methodologies and the structure of scientific papers and reports
• Develop research for evidence-based managerial problem solving
• Compare strengths and weaknesses of different statistical procedures
• Illustrate findings from statistical analyses effectively
• Perform different types of data-analyses such as OLS regressions
• Interpret results of multivariate data-analysis techniques (e.g., regression, factor analysis, ANOVA)
• Identify advantages and drawbacks of different statistical methods
Knowledge and understanding:
By the end of the course, students should be able to:
• read and interpret scientific papers and reports;
• understand and develop knowldege of research methodology;
• able to evaluate research done and to design a research project;
• able to evaluate and discuss papers.
Applying knowledge and understanding:
Upon completing the study program, students will be able to:
• apply the concepts taught in the course to the different research methodologies;
• diagnose research methodology advantages and drawbacks.
• to implement statistical models to analyze data;
• design, interpret and carry out evidence-based research for decision making in businesses.
Making judgements:
Upon completing the study program, students will be able to:
• define the right statistical technique to use given the nature of the data available
• derive theoretical and managerial implications from statistical data.
Communications Skills:
Upon completing the study program, students will be able to:
• communicate and interpret, process and synthesize data relating to the problems under study;
• acquire the appropriate terminology;
• Communicate evidence-based findings to different audiences.
Learning skills:
Upon completing the study program, students will be able to:
• interpret and understand the various research methodologies and the structure of scientific papers and reports
Criteri Necessari Per L'assegnazione Del Lavoro Finale
Upon request.
Corsi
Corsi
MANAGEMENT
Laurea Magistrale
2 anni
No Results Found
Persone
Persone (2)
No Results Found