Scientific inquiry/ Critical thinking II

Full course description

The second SICT module will mainly focus on statistics. You will in the first half of this module familiarize yourselves with three of the most common statistical techniques used for analyzing between-subjects designs with a quantitative dependent variable: t-test, one-way and two-way ANOVA (incl. multiple comparisons, orthogonal versus non-orthogonal designs, main and interaction effects, confounding problems).

Subsequently, in the second half, you will learn how to analyze data from a between-subjects design with a categorical dependent variable (chi-square test) and from within-subject or mixed designs with a quantitative dependent variable (incl. one-way repeated measures analysis of variance, univariate versus multivariate analysis models, two-way repeated measures analysis of variance, split plot analysis of variance)

You will be given the opportunity to apply these techniques to several real data sets. By doing so, you will become more familiar with basic computational concepts that you will explore further when you learn to code in year two. A final session will be devoted to principles and standards for good research practices. You become familiar with codes of conduct for research integrity, while looking back on some of the behavioral ethics problems you have encountered earlier in the year, and looking forward to the professional ethical dilemmas on which you will chew in year two. You will also critically reflect on your personal academic values as examples of plagiarism and data falsification are discussed.

There is no assessment for this module. You will only receive feedback on completed assignments.