Introduction to research methods 2100-SPP-L-D1IRME
The course provides essential knowledge and skills required to comprehend and develop empirical research in the field of social sciences. It comprises the following major topics:
1) Understanding the foundations of social research:
Sources of knowledge.
Scientific and non-scientific inquiry.
Common fallacies in everyday reasoning and strategies for avoiding them.
The notion of truth and distinguishing between facts and opinions.
The concept of objectivity and when it is applicable.
Theory in social sciences and its significance.
2) Positivism and Antipositivism:
The two main paradigms of science.
Introduction to qualitative (small q and large Q) and quantitative approaches.
3) Research process and its stages:
Developing research questions and hypotheses.
Systematic literature review.
Research design, research objects, sampling techniques, variables, and indicators.
The measurement.
Various types of data and the techniques for handling research data.
Findings and conclusions.
4) Basic research methods:
Secondary data analysis; observation; interviews; survey; experiment; quantitative/qualitative analysis of textual data.
5) Ethics and integrity in academic research:
Authorship; quoting and referencing.
Ethical considerations surrounding the use of AI in research.
The issue of plagiarism and its consequences.
Term 2023Z:
See: General course description. |
Term 2024Z:
See: General course description. |
Type of course
Prerequisites (description)
Course coordinators
Term 2024Z: | Term 2023Z: |
Mode
Learning outcomes
1) Students know methods of collecting and analyzing empirical data in social sciences (K_W02)
2) Students know ethical principles and integrity rules of social research, including the ways of quoting, referencing, and respecting authorship (K_W08)
3) Students know how to design and carry out a complex research project and how to link research questions to appropriate research methods and analytical tools (K_U01)
4) Students are able to present own innovative research project and justify the underlying choices (K_K02)
5) Students are able to cooperate on collecting the required data and assessing the relevance, effectiveness and efficiency of the social program (K_K04)
Assessment criteria
I) Lectures:
1) Active attendance at lectures is mandatory, which includes successfully completing a post-lecture micro test.
2) The maximum allowed number of absences is 2. Any absences beyond 2 must be supported by a doctor's statement (or another appropriate document).
3) There will be a final written exam for this course, with the first opportunity during the regular session and a second opportunity during the retake session.
4) Grading breakdown (on a scale of 2-5!): attendance (10%); bonus from workshop (20%); exam (70%). A minimum score of 50% on the exam is required to pass.
II) Workshops:
5) Active attendance is required for workshops, which entails being prepared by completing assigned readings. Active attendance also means responding to instructor’s questions and participating in group work.
6) The maximum allowed number of absences is 2. Any absences beyond 2 must be supported by a doctor's statement (or another appropriate document).
7) Any absences beyond 2 must be made up by scheduling a meeting during the instructor's office hours, no later than 3 weeks after the absence and within the last week of the course.
8) Grading for workshops is pass/fail. It consists of 3 in-class small tests, including a group work-based test. All small tests must be passed to pass the workshop. The deadline for completion is the final workshop class. In the event of failing any of the small tests, a retake opportunity will be provided during the first session.
9) “Good” or “very good” outcome of the tests results in a bonus (see point 4).
Practical placement
Not applicable.
Bibliography
1) W. Lawrence Newman, Basics of Social Research: Qualitative & Quantitative Approaches. Pearson New International Edition 2014 (3rd ed) (or other editions of this book)
2) Earl Babbie, The Basics of Social Research. Wadsworth 2011 (5th ed) (or other editions of this book)
3) John W. Creswell, Qualitative, Quantitative and Mixed Methods Approaches. Sage 2014 (4th ed) (or other editions of this book)
Term 2023Z:
See: General course description. |
Term 2024Z:
See: General course description. |
Notes
Term 2023Z:
none |
Term 2024Z:
none |
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: