|
Lecturer(s)
|
-
Zámečník Hadwiger Lukáš, Mgr. Ph.D.
-
Andres Jan, prof. RNDr. dr hab. DSc.
|
|
Course content
|
(1) How science is done o natural and social sciences, paradigm, stochastic nature of a finding, natural and closed system (2) Fundamental concepts of empirical research 1 o information reduction, distortion, types of reduction (3) Fundamental concepts of empirical research 2 o experiment: the concept and types of experiment, types of distortion, transformation of information, validity, reliability, causality (4) Research procedure o induction, deduction, hypothesis and types of hypothesis, qualitative vs quantitative research (5) Building a sample o population, sample, significance level, standard error, types of selection (6) Collecting data o pilot research, preliminary research, basic data collecting techniques, interference (7) Linguistic experiment methodology, structure of a research paper (8) Hypothesis o Null hypothesis, alternative hypothesis, formulating and testing hypothesis (9) Types of variables o qualitative, quantitative (10) Statistical methods fundamentals o types of probability (11) Statistical methods fundamentals o linear and nonlinear regression (12) Statistical methods fundamentals o validity parameters of a mathematical model - coefficient of determination, intervals of reliability
|
|
Learning activities and teaching methods
|
|
Lecture, Dialogic Lecture (Discussion, Dialog, Brainstorming), Work with Text (with Book, Textbook)
|
|
Learning outcomes
|
The course is designed as a theoretical introduction to empirical research methodology for M.A. students. It overviews fundamental concepts, methods used in empirical research and statistical tools, all of which is useful for students' own projects, both in quantitative and qualitative research. The theory covered in the course will later be built on in Quantitative linguistics and Linguistic experiment.
Students will be well-equipped with theoretical knowledge, which is necessary to carry out a full-fledged research project. They will be able to distinguish between quantitative and qualitative research and choose/apply the most appropriate methods accordingly. They will get familiar with the basics of statistical evaluation of an experiment and be able, to an extent, use the basic tools in their own projects.
|
|
Prerequisites
|
Reading English
|
|
Assessment methods and criteria
|
Written exam, Student performance
(1) regular class attendance (80%) (2) required readings (3) written test (70% score to pass)
|
|
Recommended literature
|
-
Disman, M. (2002). Jak se vyrábí sociologická znalost. Praha.
-
Gries, S. T. (2009). Statistics for Linguistics with R: A Practical Introduction. New York.
-
Milroy, Lesley - Gordon, Matthew. Sociolingvistika: Metody a interpretace. Praha: Karolinum, 2012.
-
Volín, J. (2007). Statistické metody ve fonetickém výzkumu. Praha.
-
Wimmer, G. a kol. (2003). Úvod do analýzy textov. Bratislava.
|