Quantitative Data Analysis:
To explore multivariate methods of quantitative data analysis and to learn how to interpret and present results. The main analytical methods addressed are factor analysis, analyses of variance and (multiple) regression analysis. The course analyses an example dataset or personally collected data, during weekly exercises ending up in an analytical essay. The statistical analysis exercise shall be completed independently with the example dataset or with self-collected data. Use of data self-collected data and its suitability has to be approved by the teacher.
-Students can perform the required analyses in SPSS or in an equivalent program.
-Students interpret the outcomes of required analyses, and transform these interpretations into a written report.