Contemporary Quantitative Methods in Business Administration

This course is an introductory course in quantitative methods available to PhD students. The goal of the course is to provide the PhD students with basic understanding of the role and potential of quantitative methods in social science research, basic ability to understand and evaluate the merits and shortcomings of other researchers’ (quantitative) studies, basic ability to apply certain quantitative techniques in your own research, and basic orientation that facilitates further self-study or taking more advanced courses on quantitative methods.

The course content:
1) Descriptive statistics + graphical analysis
2) Survey design and design of experiment
3) Explanatory and confirmatory factor analysis
4) Regression analysis
5) Sturctural equation modelling

Teaching in campus meetings takes place in interactive lectures, labs and seminars requiring active class participation, with assigned homework between the occasions. Note that the labs are compulsory to attend. All teaching is in English.

Course responsible is Professor Lucia Naldi, JIBS, and the course teachers, in addition to Lucia are Associate Professor Mikael Knutsson, LiU, and Professor Kristofer Månsson, JIBS.

Kick-off and campus meetings are planned as follows:

Date	Time	Course moment
2023-02-06	09.00-10.00	Kick-off
2023-02-08	13-17	Introduction to survey design
2023-02-20	09.00-10.45	Factor Analysis
2023-02-22	13-16	Introduction to SPSS and Lab on factor analysis
2023-02-28	09-11	Lecture on Reg 1
2023-03-01	13-16	Lab on Reg 1
2023-03-15	09.00-12.00	Lecture and lab on Reg 2
2023-03-22	13.00-16.00	Lecture and lab on SEM 1
2023-03-29	13.00-16.00	Lecture and lab on SEM 2
2023-04-12	10.00-12.00	Introduction to logistic regression
2023-05-16	10-12	Experiment Lecture
2023-05-18	13-15	Experimental design lab

The course has a maximum of 14 places. The seats are accessible via the "first come, first served" principle. The last day to apply is January 27, 2023.

Application form Word, 58.8 kB.