Qualitative research methods in Management
- This course aims to (1) introduce a set of research tools used for collecting and processing data, as well as to research design and the ways in which academic work can be presented;
- (2) assist the students with the writing of their third-year thesis.
- Introduction. Overviewing course structure, content, ILO and assessment methods.Practitioners need management research: why. Scientific and non-scientific methods: several principles to distinguish. Basic concepts – observation, hypothesis, law, theory.
- Research design basics, study cycles and componentsResearch design: research rationale, research question. Research questions: good and bad ones. Empirical cycle: observation, induction, deduction, testing and evaluation. Types of studies and research implications.
- Research questions, introduction and literature reviewLiterature review: structure, key words. Common pitfalls and mistakes. Sources, Citation management systems, and styles.
- Research methods, procedures and techniques – overviewExperiments. Surveys. Observation. Case study. Interviews. Grounded theory. Descriptive statistics, inferential statistics. Causality and correlation. Reserach methods in managements and business
- Sampling. External validity: basics and threats (selection, history, setting, pretesting, reactivity)Population, sample, stratum, census, element. Random (probability) sampling methods. Non probability sampling methods. Sample estimate. Sampling bias. Confidence interval. Sample size
- Big data, internet based studiesRecent study methods and mixed methodology
- Qualitative methodology basics and qualitative data collectionInterviews and focus groups. Types of interview, possible purposes. Recruiting participants, sampling pitfalls, data saturation.
- Methods for qualitative data analysisObservation/ethnography. Fieldwork. Finalizing results.
- Research documentation and planningResearch protocol, statistical plan, data management, codebook. Research program (brief) structure. Research plan (milestones), resource planning.
- Constructs and variables. Data typesOperational definition. Independent, dependent variables. Constant. Confounder, control variables. Measurement levels and structures. Nominal, ordinal, interval and ratio scales. Construct validity. Measurement reliability. Test/retest. Split ratios. Random and systematic error.
- Types of quantitative researchTypes of questions to be asked. Target audience and response rate. Tips for building effective survey. Pretesting. Quality control. Designing questionnaire and response options. Response and rate bias. Panels design. Time series design.
- Survey, crossectional study, experiments. Research findingsReports, scientific papers, abstracts, posters. Presentation skills and tips. Accuracy, Validity, Limitations, Implications. Confirmation/disconfirmation. Reliability and validity (construct, internal, external). Research ethics: fraud, plagiarism, conflicts of interest, harking, p-hacking, data snooping, cherry picking, selective omission.
- In-class AssignmentsOnly the final grade is rounded up by means of simple arithmetic rounding.
- In-home assignmentOnly the final grade is rounded up by means of simple arithmetic rounding.
- Term paper researchOnly the final grade is rounded up by means of simple arithmetic rounding.
- Interim assessment (4 module)0.4 * In-class Assignments + 0.4 * In-home assignment + 0.2 * Term paper research