GE 512 Quantitative Data Analysis

Professional statistical training while working with actual research data sets. Working with real life data to calculate descriptive statistics and perform inferential statistical tests. Practical training in the use of statistical software to analyze data sets. Sets of skills that enable to work with research data in professional settings. Specific tests conducted appropriate for a) relevant research questions, and b) structure of data (e.g., interval/ratio vs. nominal data). Tests possibly including, but not necessarily limited to, t-tests (single-sample, repeated-measures, and between-subjects), ANOVA (one-way, factorial, within-subjects, between-subjects, mixed models, and ANCOVA), correlation (zero-order bivariate, part, and partial), regression (e.g., simple linear regression, multiple regression, and logistic regression), as well as non-parametric tests (e.g., chi-square analyses, Mann-Whitney U test, and Kruskal-Wallis' H). Credit units: 3 ECTS Credit units: 8.

Autumn Semester (Aaron Michael Clarke)

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