1. Applied quantitative analysis a practical introduction SOSM-405 (5 cr) Session 2
Tue 8-10, Period III, Jan-Feb 2018
Faculty of Social Sciences / University of Helsinki
Teemu Kemppainen

2. Contents Course objectives Readings for R, Stata and SAS
It’s possible to use these…I can help during the office hours (Tue 10-11:30)
Unit non-response and item non-response
Different variable types
Mean and variation
Relationship, association, covariation, correlation…
Hands-on!

3. Course objectives
To gain an overview of QUAN research process and key concepts
To get familiar with the basic techniques and logic of cross-sectional data analysis
To gain (even) more confidence to attend more advanced courses and to engage in QUAN or mixed methods research in thesis

4. Readings for R, Stata and SAS

10. Types of non-response Random sample Population Unit non-response Data
Different sampling techniques
Item non-response
Statistical inference, study objectives

11. Different variable types: it’s good to know what you can do with the ”numbers”

12. Different variable types: it’s good to know what you can do with the ”numbers”
Categories: country, gender, favourite painter etc.
numbers are not at all numbers  counting & percentages ok
Ordinal: how much agree—disagree, preference order for Picasso, Manet, Renoir and Monet etc.
numbers are a bit like numbers…”an approximation of interval scale” in some cases  means, correlation etc…?
Interval: temperature, height, weight, income, years of education etc.
numbers really are numbers  mean, correlation etc.
”continuous” variables

13. Mean and variation

14. Relationship, association, covariation, correlation…patterns, tendencies
variable,
variance,
differences
Co-variation, covariance, correlation, association, relationship…
Next two slides: examples of unadjusted bivariate associations (ESS8)

15. ESS8: Climate change caused by natural processes, human activity, or both…by education

16. ESS8: Climate change caused by natural processes, human activity, or both…by left-right scale

17. Correlation: a visual intuition

18. Hands on!