Last update: PhDr. Lucie Jiránková, Ph.D. (17.12.2020)
The aim of the course is to present approaches to research in applied linguistics on a gnoseological basis and on
its basis to gradually introduce the basics of quantitatively and qualitatively oriented research in applied linguistics,
as well as relevant descriptive and inferential statistical methods.
Course participants will learn to choose appropriate research methods in applied linguistics and how these
methods are implemented. They will also understand the gnoseological basis of linguistic research and get
acquainted with the basics of descriptive and inferential statistical methods in applied-linguistic research.
Last update: PhDr. Lucie Jiránková, Ph.D. (17.12.2020)
Cílem kurzu je představit přístupy k výzkumu v aplikované lingvistice na gnozeologické bázi a na jejím základě
postupně představit základy kvantitativně a kvalitativně orientovaného výzkumu v aplikované lingvistice, jakož i
příslušné deskriptivní a inferenční statistické metody.
Účastníci kurzu se naučí porozumět, proč se pro výzkum v aplikované lingvistice volí ty které výzkumné metody a
jak se realizují. Porozumí gnozeologickému základu lingvistického výzkumu a obeznámí se s základy
deskriptivních a inferečních statistických metod v aplikovaně-lingvistickém výzkumu.
Course completion requirements -
Last update: PhDr. Lucie Jiránková, Ph.D. (17.12.2020)
In-class presentations and a final test.
Last update: PhDr. Lucie Jiránková, Ph.D. (17.12.2020)
Prezentace v hodině a závěrečný test.
Literature -
Last update: PhDr. Lucie Jiránková, Ph.D. (17.12.2020)
Baker, P., & Egbert, J. (2018). Triangulating methodological approaches in corpus linguistic research.
Baayen, H. (2015). Analyzing linguistic data: a practical introduction to statistics using R. Cambridge: Cambridge University Press.
Field, A. (2009). Discovering statistics using SPSS. Sage publications
Given, L. M. (2008). The Sage encyclopedia of qualitative research methods. Thousand Oaks, CA: Sage.
Heigham, J. & & Croker, R. A. (2009). Qualitative research in applied linguistics. New York: Palgrave Macmillan.
Lowie, W., & Seton, B. (2013). Essential statistics for applied linguistics. Houndmills, Basingstoke, Hampshire: Palgrave Macmillan.
Tavakoli, H. (2013). A dictionary of research methodology and statistics in applied linguistics. Tehran: Rahnama.
Desagulier, G. (2017). Corpus Linguistics and Statistics with R: Introduction to Quantitative Methods in Linguistics. Springer.
Cantos Gómez, P. (2012). Statistical methods in language and linguistic research. Equinox Pub. Ltd.
Lüdeling, A., & Kytö, M. (2009). Corpus linguistics : an international handbook. Vol. 2. Walter de Gruyter.
O’Keeffe, A., & McCarthy, M. (2010). The Routledge handbook of corpus linguistics. Routledge.
Last update: PhDr. Lucie Jiránková, Ph.D. (17.12.2020)
Baker, P., & Egbert, J. (2018). Triangulating methodological approaches in corpus linguistic research.
Baayen, H. (2015). Analyzing linguistic data: a practical introduction to statistics using R. Cambridge: Cambridge University Press.
Field, A. (2009). Discovering statistics using SPSS. Sage publications
Given, L. M. (2008). The Sage encyclopedia of qualitative research methods. Thousand Oaks, CA: Sage.
Heigham, J. & & Croker, R. A. (2009). Qualitative research in applied linguistics. New York: Palgrave Macmillan.
Lowie, W., & Seton, B. (2013). Essential statistics for applied linguistics. Houndmills, Basingstoke, Hampshire: Palgrave Macmillan.
Tavakoli, H. (2013). A dictionary of research methodology and statistics in applied linguistics. Tehran: Rahnama.
Desagulier, G. (2017). Corpus Linguistics and Statistics with R: Introduction to Quantitative Methods in Linguistics. Springer.
Cantos Gómez, P. (2012). Statistical methods in language and linguistic research. Equinox Pub. Ltd.
Lüdeling, A., & Kytö, M. (2009). Corpus linguistics : an international handbook. Vol. 2. Walter de Gruyter.
O’Keeffe, A., & McCarthy, M. (2010). The Routledge handbook of corpus linguistics. Routledge.
Syllabus -
Last update: Mgr. Ondřej Tichý, Ph.D. (22.01.2021)
Block I - Key Concepts of Research (4 seminars) Seminar 1: Philosophy and research Key components: inductive and deductive reasoning, philosophical frameworks for research in AL (epistemology, ontology, realism, positivism, social constructivism, pragmatism, phenomenology, modernism, postmodernism) Seminar 2: Types of research Key aspects: quantitative and qualitative research, basic and applied research, dealing with validity, reliability and practicality; hypotheses, research questions and „so what questions“ Seminar 3: Qualitative research methods Key aspects: narrative inquiry, ethnographic research, case study research, phenomenological research, grounded research; evaluating research (coding, credibility, dependability, transferability) Seminar 4: Critical reading: 3 sample studies related to the topic of this block (presented by the students)
Block II Quantitative Research - descriptive statistics and corpus methodology (4 seminars) Key components: characteristics of data, ways of measuring, sampling, describing data, measures of central tendency, measures of frequency, measures of distribution, standard scores, visualising data (common and fancy graphs), common tools (Excel, web apps) Seminar 1: The Dataset - finding and acquiring the data, processing texts and creating corpora or other datasets. Sampling the data. Seminar 2: The Analysis - methods and techniques of measurement in linguistic data Seminar 3: The Output - visualisation and visual exploration, tools and techniques Seminar 4: Critical reading: 3 sample studies related to the topic of this block (presented by the students)
Block III Quantitative Research - inferential statistics (4 seminars) Key components: experimental research, causal-comparative research, correlational research, inferential statistics, variables, significance, effect size, correlation, regression, t-tests, ANOVA, Seminar 1: Experimental research - numerical, categorical and ordinal variables, basic statistical principles of experimental design, basic assumptions for parametric analysis Seminar 2: Running statistical tests - The logic of p-values and how to read them, understanding if variables are related using correlations and regression, understanding the difference between causation and correlation Seminar 3: Comparing means - repeated measure t-test, independent samples t-test, ANOVA, ANCOVA Seminar 4: Critical reading: 3 sample studies related to the topic of this block (presented by the students)
Last update: Mgr. Ondřej Tichý, Ph.D. (22.01.2021)
Block I - Key Concepts of Research (4 seminars) Seminar 1: Philosophy and research Key components: inductive and deductive reasoning, philosophical frameworks for research in AL (epistemology, ontology, realism, positivism, social constructivism, pragmatism, phenomenology, modernism, postmodernism) Seminar 2: Types of research Key aspects: quantitative and qualitative research, basic and applied research, dealing with validity, reliability and practicality; hypotheses, research questions and „so what questions“ Seminar 3: Qualitative research methods Key aspects: narrative inquiry, ethnographic research, case study research, phenomenological research, grounded research; evaluating research (coding, credibility, dependability, transferability) Seminar 4: Critical reading: 3 sample studies related to the topic of this block (presented by the students)
Block II Quantitative Research - descriptive statistics and corpus methodology (4 seminars) Key components: characteristics of data, ways of measuring, sampling, describing data, measures of central tendency, measures of frequency, measures of distribution, standard scores, visualising data (common and fancy graphs), common tools (Excel, web apps) Seminar 1: The Dataset - finding and acquiring the data, processing texts and creating corpora or other datasets. Sampling the data. Seminar 2: The Analysis - methods and techniques of measurement in linguistic data Seminar 3: The Output - visualisation and visual exploration, tools and techniques Seminar 4: Critical reading: 3 sample studies related to the topic of this block (presented by the students)
Block III Quantitative Research - inferential statistics (4 seminars) Key components: experimental research, causal-comparative research, correlational research, inferential statistics, variables, significance, effect size, correlation, regression, t-tests, ANOVA, Seminar 1: Experimental research - numerical, categorical and ordinal variables, basic statistical principles of experimental design, basic assumptions for parametric analysis Seminar 2: Running statistical tests - The logic of p-values and how to read them, understanding if variables are related using correlations and regression, understanding the difference between causation and correlation Seminar 3: Comparing means - repeated measure t-test, independent samples t-test, ANOVA, ANCOVA Seminar 4: Critical reading: 3 sample studies related to the topic of this block (presented by the students)
