Applied Statistics for Management Accounting and Business Research

On completion of this module, students will be able to: Knowledge: - Demonstrate a knowledge of regression analysis and its limitations; - To decide which type of regression analysis is appropriate for different types of dependent variables and data structures; - To understand and use different types of statistical models, including different variants of logistic regression, multilevel modeling, panel data analysis, analysis of count data, and instrumental variable analysis; - Understand, interpret, and present statistical results; Skills: - Will be familiar with and able to use the statistical software Stata; - Prepare data for use; - Perform an independent statistical analysis; - Write statistical method sections; - Write quantitative research papers of good quality;

The course consists of 2 separate workshops, which will comprise a mixture of formal presentations and lab work using both example data and the students’ own data. The focus of the workshops is to enable the students to be able to use what they learn in the course on their own data relevant for their respective doctoral theses. We will also introduce the students to literature that will aid them in their further work on their statistical models.