Topic outline

  • This course is designed with the primary objective of equipping students with the necessary skills to carry out high-quality, quantitative analysis for their Masters' theses or other related research projects, with a focus on efficiency. 

    Students are given the flexibility to either analyze their own data, thereby potentially completing their thesis research within this course, or opt for provided data to learn and practice the analytical techniques initially. 

    The course structure is adaptable, tailored to fit the needs of the enrolled students, which will be discussed in our initial meeting. Drawing from my experience of conducting quantitative analysis for over 20 academic journal articles and a doctoral thesis, I intend to share insights and efficient methodologies with you.

    The course comprises different styles of sessions. Morning sessions will be more lecture-oriented with extensive presentations to illustrate the analytical procedures and interpretation. Afternoon sessions are designed to be interactive where you're encouraged to share ideas about your assignment or any other ongoing research like your Master's thesis.

    Monday, 22 April, 16:15 - 20:00. Introduction.

    Monday, 29 April 16:15 - 20:00. Theoretical part for quantitative research - Advanced tools (Mendeley/Endnote), finding best journal articles related to theory and methods & new AI-applications 

    Monday, 6 May, 16:15 - 20:00. Journal article level quality with relatively simple methods - Chi-Square, t-test and analysis of variance (ANOVA) with SPSS.

    Monday, 13 May, 16:15 - 20:00. From scratch to publishing an academic article - analysis for a journal article with Factor Analysis and Cluster Analysis (with SPSS).

    Monday, 20 May, 16:15 - 20:00. Top level academic quantitative research - Journal article with Structural Equation Modelling (SEM): how to do the analysis with SPSS and SEM-software.

    Monday, 27 May, 16:15 - 20:00. Presentation of research reports. Everyone presents (20 min. max) what the research report and gets feedback.

    The course will be an online course so you can participate from anywhere. If you are not able to participate in our sessions I am open to your suggestions how you would like to do the course. 

    So, in the first meeting we will discuss the practicalities and design the course based on your needs. There is a lot of flexibility for us to together decide on the practicalities as the number of participants is likely to be small. So be prepared to share then your wishes about the course, my plan is to ask them from everyone.

    All our meetings are via Zoom:

    Welcome to the course! Let's collaborate on creating a learning experience that will be most beneficial for you!

    Sami Kajalo