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Introduction to business research: types of research studies, scope and function of research, research process.
Defining a decision problem, research problem and research questions; using secondary sources of data to inform and support these tasks.
Building graphical models of research studies, specifying hypotheses.
Choosing a research design; an overview of common qualitative and quantitative approaches.
Introduction to qualitative methods: overview of popular techniques and approaches, typical applications, advantages and constraints.
Focus group interviews: planning and moderating focus groups, developing a moderator's outline.
Depth interviews and projective techniques: organizing and conducting depth interviews, using probing techniques. Basics of qualitative data analysis.
Designing survey questionnaires: primary and comparative scales of measurement
Designing survey questionnaires: developing and evaluating non-comparative multi-item scales; using Google Forms to implement questionnaires.
Coding and entering raw questionnaire data into statistical software. Checking data for consistency and errors. Labeling variables for further research. Frequency distributions, descriptive statistics, presenting data with tables and graphs.
Introduction to inferential statistics and hypotheses testing. Studying associations with cross-tabulations, chi-square test and Cramer?s V, variable transformations
Bivariate correlations: Spearman?s rho and Pearson?s R. Comparing groups with t-tests and the Mann-Whitney U test
One-way ANOVA and the Kruskal-Wallis test.
Multiple linear regression.
Multiple linear regression - cont.
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