Academic Writing and Research Methods

1. to define and differentiate logics of quantitative and qualitative research
2. to comprehend relationships of theory, hypothesis, research design and type of required data and inferential logic of scientific research
3. to recognize, describe and define phases of research as well as research designs
4. to recognize and describe various methods and techniques of data collecting
5. to understand logic of sampling as well as to recognize and describe various types of sampling
6. to recognize, describe and analyze various measurement levels and related to them possibilities of inference
7. to apply knowledge through the computer analysis of basic univariate and biariate problems
8. to acquire the skill of organization, structuration and writing of scientific report of empirical research as well as to integrate and apply acquired knowledge into such written form
9. To acquire skills of academic writing in all phases of scientific work
10. to recognize key arguments of other authors and development of capabilities for expression of informed attitude in the scientific text

Ex cathedra lectures and interaction with students

Independent presentation and students' group work based on required literature readings and moderation of the lecturer

Application of learned knowledge in computer work

Students will get tasks for seminars and exercises which will be individually mastered

Use of SPSS and other software

1. Lectures: Scientific work as a textual genre and its realization through various types of research Seminar: Scientific work as a textual genre and its realization through various types of research Exercises: Scientific work as a textual genre and its realization through various types of research
2. Lectures: Organization of research activities and writing different parts of a text Seminar: Organization of research activities, writing different parts of a text and introduction to computer and informatics tools Exercises: Organization of research activities and writing different parts of a text
3. Lectures: Research problem and research design Seminar: Research problem and research design Exercises: Research problem and research design
4. Lectures: Operationalization: from theory to the measurement Seminar: Operationalization: from theory to the measurement Exercises: Operationalization: from theory to the measurement
5. Lectures: Measurement levels and types of variables Seminar: Measurement levels and types of variables - application of computer and informatics tools Exercises: Measurement levels and types of variables
6. Lectures: Instruments, scales and indexes Seminar: Instruments, scales and indexes - application of computer and informatics tools Exercises: Instruments, scales and indexes
7. Lectures: Colloquium 1
8. Exercises: Colloquium 1 correction (2 hours) Lectures: Sampling, scientific inference and presentation of data in scientific texts Seminar: Sampling, scientific inference and presentation of data in scientific texts Exercises: Sampling, scientific inference and presentation of data in scientific texts
9. Lectures: Types of scientific observation and experiments Seminar: Types of scientific observation and experiments and appropriate computer statistical analysis Exercises: Types of scientific observation and experiments
10. Lectures: Survey, interview and focus groups Seminar: Focus groups and multiple computer data transcription Exercises: Focus groups
11. Lectures: Archival, content, and discourse analysis Seminar: Archival, content, and discourse analysis - computer programs Exercises: Archival, content, and discourse analysis
12. Seminar: Survey and interview Exercises: preparation for Colloquium 2 and written exam
13. Lectures: Colloquium 2 Exercises: Colloquium 2 correction (2 hours)
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