Behavioral research methods 2: dealing with data

The course covers the basics of dealing with quantitative research data, including the statistical knowledge that is necessary to be able to do this. Using a hands-on approach, students learn how to explore and analyze data. Topics include: coding and recoding variables, dealing with missing data and outliers, comparing groups (t-test and chi2 test), non-parametric tests, simple and multiple regression, factor analysis and principal component analysis. As a statistical background, the course also covers (calculating with) distributions, p-values and t-values, power, and sample size determination.

The ultimate goal is for students to be able to make sense out of given quantitative data. This includes:

• A healthy skepticism towards the content of data sets
• A methodical approach to dealing with data in a syntax based way
• An understanding and working knowledge of the assumptions underlying the statistical procedures
• Being able to conduct appropriate statistical analyses
• Being able to interpret the outcomes of statistical analyses

You must meet the following requirements

• Registered for a degree programme other than
• HBO-TOP Applied Physics, Pre-Master
• Industrial Engineering
• Completed none of the course modules listed below
• Homologation course BRM (0HPH050)
• Behavioral research methods 2: DwD (0HPH10)
• Statistical data-analysis (2AS00)
• Statistiek (2DD70)
• Statistics for IE (2DD80)
• Research and statistics (7U9X0)
• Data Statistics (JBM010)
• Data Science research methods (JBM020)
• Statistics for SI (0SV120)

• A gentle introduction to Stata (3rd or 4th ed.) by Alan C. Acock
• Other study material (screencasts, data sets, etc) will be supplied during the course
• Stata http://www.dpc-software.nl/ (Stata Corp LP)