Topics
Topic 1: Introduction
Class:
- General overview of the class;
- Logistics;
- Statistics: buzzwords
- Slides
Reading:
- Agresti & Finlay, chapters 1 and 2
Topic 2: Descriptive statistics
Reading:
- Agresti & Finlay, chapter 3
lab exercise:
- SPSS user interface;
- WYSIWYG versus programming interface;
- Variable and data view
- Loading data into SPSS;
- Calculating basic statistics
- central tendency;
- dispersion;
- Basics of bivariate statistics
- contingency tables;
- correlations;
- simple linear regressions
- Slides
- Lab assignment
- Datasets
- Submit your assignment to this link. It is due before we start our next class.
Topic 3: Probability distributions
Reading:
- Agresti & Finlay, chapters 4-5
lab exercise:
Visualizing data using SPSS;
- Slides
- Lab assignment
- Datasets
Submit your assignment to this link. It is due before we start our next class.
Topic 4: Estimation
Reading:
- Agresti & Finlay, chapter 6
lab exercise:
Data transformation in SPSS;
- Slides
- Lab assignment
- Datasets
Submit your assignment to this link. It is due this Friday evening.
Topic 5: Significance tests
Reading:
- Agresti & Finlay, chapter 6
lab exercise:
Mean comparison and significance tests in SPSS;
- Slides
- Lab assignment
- Datasets
Submit your assignment to this link. It is due this Friday evening.
Topic 6: Correlation and data reduction techniques
Reading:
- Field, chapters 4 and 15
lab exercise:
Doing bivariate and partial correlations in SPSS, exploratory factor analysis;
- Slides
- Lab assignment
Submit your assignment to this link. It is due this Friday evening, December 7th.