Quantitative Research (5 cr)
Code: YZ00CB88-3009
General information
- Timing
-
16.09.2025 - 16.05.2026
The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Health and Social Studies
- Teaching languages
- English
- Finnish
- Seats
- 20 - 60
- Degree programmes
- Master’s Degree Programme in Business and Financial Management
- Master’s Degree Programme in Logistics
- Master’s Degree Programme in Tourism and Hospitality Management
- Master's Degree Programme in Multidisciplinary Rehabilitation
- Master's Degree Programme in Business Network Management
- Master’s Degree Programme in Health Care and Social Services
- Master's Degree Programme in Business Network Management
- Master's Degree Programme in Project Management
- Master’s Degree Programme in Digital Supply Chain Management
- Master's Degree Programme in Multidisciplinary Rehabilitation
Evaluation scale
0-5
Objective
Purpose of the course
The aim of the course is to understand the meaning of quantitative research and learn to use quantitative research methods in working life development and research.
Competences
Learning and information management
Ethical competence
Subject specific competences
Learning outcomes
You will acquire the knowledge and understanding of quantitative research methods and methodology. You will understands the strengths and the weaknesses of quantitative research. You will be able to conduct a quantitative research and assess it as well as its applicability to your own field of research and development work. You can identify the applications of well-reasoned methods pertaining to quantitative data for solving different types of research questions.
Content
The focus of the course will be on the following aspects:
Epistemological grounds of quantitative research
Definition of the research topic, formulation of the research questions
Process of quantitative research
Methods of data collection
Main analysis methods for Master's thesis
Reliability of quantitative research
Ethics in quantitative research
To understand the above the following course contents will be included in the course:
Research plan,
Hypotheses testing,
Populations and samples,
Normality assumption of data,
Descriptive statistics,
Correlational analysis,
Regression analysis (simple, linear),
T-tests and ANOVA,
Validity and reliability of data, assumptions of parametric data,
Logistic regression and non-linear regression,
Explorative Factor analysis,
Non-parametric tests,
Revisiting assumptions of parametric data (Multi-collinearity, Autocorrelation and Heteroscedasticity)
Assessment criteria, satisfactory (1)
Sufficient 1
You demonstrate an understanding of the epistemological grounds of quantitative research as well as its strengths and weaknesses. You are able to recognise different quantitative materials and methods that are suited for the solution of different types of research assignments. You have the basic preparedness to carry out quantitative research. You perceive and implement how quantitative research is assessed.
Satisfactory 2
You demonstrate an understanding of the epistemological grounds of quantitative research as well as its strengths and weaknesses. You are able to recognise and select different quantitative materials and methods that are suited for the solution of different types of problem assignments. You have the basic preparedness to carry out quantitative research. You perceive and implement how quantitative research is assessed and apply the information to the research and development work related to your own field.
Assessment criteria, good (3)
Good 3
You demonstrate an understanding of the epistemological grounds of quantitative research as well as its strengths and weaknesses. You are able to select and justify your choice of quantitative material and methods that are suited to solving the research assignments of your thesis and problem assignments. You are well prepared to carry out quantitative research. You can assess quantitative research and perceive, and apply your knowledge and skills to the research and development work related to your own field.
Very good 4
You demonstrate an understanding of the epistemological grounds of quantitative research as well as its strengths and weaknesses. You are able to select and justify your choice of quantitative material and methods that are suited to solving the research assignments of your thesis and problem assignments. You are well prepared to carry out quantitative research. You can assess quantitative research and perceive, and apply your knowledge and skills to the research and development work related to your own field to a higher level; and draw suitable inferences.
Assessment criteria, excellent (5)
Excellent 5
You demonstrate an understanding of the epistemological grounds of quantitative research as well as its strengths and weaknesses. You are able to select and justify your choice of quantitative material and methods that are suited to solving the research assignments of your thesis and problem assignments. You are well prepared to carry out quantitative research. You can assess quantitative research and perceive, and apply your knowledge and skills to the research and development work related to your own field to an excellent level; and draw suitable inferences.
Qualifications
You must have a basic understanding of quantitative methods and their applications.