1. ADVANCED DATA ANALYSIS IN SPSS AND AMOS1

2. Intro Syllabus – RA,LRA,LA,LCA,EFA,CFA,SEM
Basic requirements – 5HW, oral exam, paper draft (only for Master degree)
Literature
Schedule
Software – SPSS, AMOS, R

3. Intro topic Statistical testing What is statistical test?
Test about statistical testing
Evaluation

4. Expected knowledge
Descriptive stat – mean, mode, median, frequency table,variance, standard deviation
Statistical test and confidence interval
T-tests, analysis of variance (ANOVA), contingency tables and chi-square test, correlation (at least Pearson’s)
Basic data handling in SPSS, SPSS syntax

5. New for this lecture Missing values – typology and usage
Data preparation – IF procedure (set of dummy variables, combined variable)
Data weights – preparation and usage
Short repetition: RECODE and COMPUTE

6. Next lecture Linear regression (8 a.m. – 11 a.m.) Intro Requierements
Estimation
Parameters (intercept, slope)
Tests, R2
More independent variables
Problems in regression analysis – diagnostics and solutions