Analyzing Quantitative Data

Research Methods Module - Analyzing Quantitative Data Lecture is covered by students who are writing final research projects.

Here is Outline of Lecture:

I. Overview of quantitative analysis
II. Types of data/variables
III. Preparing data for analysis
IV. Presenting and describing data (remember DANIM)
V. Analysing data (inferential statistics)
A. Hypothesis testing
B. Statistical significance
C. Tests for patterns (Chi-square test)
D. Test of associations (Chi-square test)
E. Correlation tests (Pearson’s r/Spearman’s rho)
F. Tests of difference (Independent and Paired t-test)
G. Regression
H. Anova
VI. Words of reassurance and warning on use of inferential statistics



In this File you will find:

- 1 Research Methods - Analyzing Quantitative Data Lecture Power Point Presentation
- 2 Seminar Plan with more than 10 Exercises and case studies for practice
- 2 Teacher Notes for 2 Seminars

!!! Attention !!! In order to do seminar activities you as well as your students must to have access to the STATA Software! This Materials must to be covered during 2 Lectures + 2 Seminars!!!

All materials are covered by Bachelor Level students during the Research Methods Module.