ADVANCED DATA ANALYSIS IN SPSS AND AMOS

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Presentation transcript:

ADVANCED DATA ANALYSIS IN SPSS AND AMOS 1

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

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

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

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

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