Quantitative Research Methods
BASIC DATA
course listing
A - main register
course code
MMX9120
course title in Estonian
Kvantitatiivsed uurimismeetodid
course title in English
Quantitative Research Methods
course volume CP
-
ECTS credits
6.00
to be declared
yes
assessment form
Examination
teaching semester
spring
language of instruction
Estonian
English
Study programmes that contain the course
code of the study programme version
course compulsory
MAXD22/22
no
Structural units teaching the course
MM - Department of Business Administration
Course description link
Timetable link
View the timetable
Version:
VERSION SPECIFIC DATA
course aims in Estonian
Kursuse üldeesmärk on, et doktorant omandab põhjalikud teadmised ja oskused kvantitatiivse uurimisprotsessi kohta ning suudab koostada uurimisprojekti, mis põhineb kvantitatiivsetel andmetel (sisaldab neid).
course aims in English
The overall aim of this course is that the PhD student shall acquire advanced knowledge and skills in the quantitative research process and obtain a capacity to produce a research project that is based on (includes) quantitative data.
learning outcomes in the course in Est.
Õppeaine läbinud üliõpilane:
- selgitab kvantitatiivsete uuringute aluspõhimõtteid, mõisteid ja termineid;
- määratleb ja kirjeldab erinevaid kvantitatiivseid uurimiskavasid;
- kavandab, tutvustab ja viib läbi kvantitatiivse uurimiskavaga uuringu;
- rakendab, tõlgendab ja hindab erinevaid mitme muutujaga kvantitatiivseid analüüse;
- oskab kujundada ja esitada kvantitatiivset analüüsi publikatsiooni jaoks.
learning outcomes in the course in Eng.
After completing this course, the student:
- explains the basic principles, concepts and terms of quantitative research;
- identifies and describes various types of quantitative research designs;
- plans, introduces and conducts a study with a quantitative research design;
- implements, interprets and assesses different multivariate quantitative analysis;
- is able to develop the layout and present quantitative analysis for a publication.
brief description of the course in Estonian
Kursus sisaldab arutelu uurimisprotsessi ning uurimisprotsessi ja aruande struktuuri vahelise seose üle. Olulised osad on küsimustike koostamine, andmete kogumine ja andmete analüüs mitme muutujaga meetoditega (nt korrelatsioonianalüüs, faktoranalüüs, regressioonanalüüs ja struktuurse võrrandi modelleerimine (SEM)). Analüüs tehakse arvutiprogrammis SPSS või R.
brief description of the course in English
The course includes a discussion on the research process and the interconnection between the research process and the report structure. Important parts are the development of questionnaires, collecting of data and analysis of data with multivariate methods (e. g correlation analysis, factor analysis, regression analysis and Structural Equation Modelling (SEM)). Analysis are done in the computer program SPSS or R.
type of assessment in Estonian
Ülesanded
type of assessment in English
Assignments
independent study in Estonian
Töödelda ja analüüsida kogutud andmeid ja kirjutada nende põhjal uurimuslik lühiartikkel.
independent study in English
To analyse the collected data and on the basis of the analysis writing an article.
study literature
Õppekirjandust saab näha Moodle’ist.

Study literature will be made available on Moodle.
study forms and load
daytime study: weekly hours
4.0
session-based study work load (in a semester):
lectures
2.0
lectures
-
practices
0.0
practices
-
exercises
2.0
exercises
-
lecturer in charge
-
LECTURER SYLLABUS INFO
semester of studies
teaching lecturer / unit
language of instruction
Extended syllabus
2024/2025 spring
Volker Kuppelwieser, MM - Department of Business Administration
English
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    2023/2024 spring
    Volker Kuppelwieser, MM - Department of Business Administration
    English
      MMX9120 Quantitative research methods Extended syllabus 2024.pdf 
      2022/2023 spring
      Petri Jouni Kristian Nokelainen, MM - Department of Business Administration
      English
        2021/2022 autumn
        Petri Jouni Kristian Nokelainen, MM - Department of Business Administration
        English
          MMX9120_assessment criteria.pdf 
          2019/2020 autumn
          Petri Jouni Kristian Nokelainen, MM - Department of Business Administration
          English
            MMX9120_assessment criteria.pdf 
            Course description in Estonian
            Course description in English