Computer Aided Statistical Analysis

This course aims to introduce students to the use of applied univariate, bivariate and multivariate statistics using SPSS. After successfully completing the course, students are expected to be able to evaluate a problem, define variables, use the appropriate statistical tests or regression models and interpret the findings. Lectures include: Descriptive statistics, Data management and transformations, Chi-square test, Independent samples T-Test, Normality tests, Mann-Whitney test, Paired samples T-test, Wilcoxon test, ANOVA, Kruskal Wallis test and other nonparametric tests, Correlation coefficients, Simple regression, Multiple regression, Stepwise regression, Hierarchical regression, Residuals-regression diagnostics

Objectives

not available

Prerequisites

not available

Syllabus

Unit 01 - Introduction Unit 02 - Data Transformation Commands Unit 03 - Contingency tables, x2 test Unit 04 - Two independent samples tests Unit 05 - Two dependent samples tests Unit 06 - Means and Oneway Anova commands Unit 07 - Several independent samples tests Unit 08 - Correlation coefficients Unit 09 - Simple linear regression Unit 10 - Multiple linear regression Unit 11 - Selection of variables in regression Unit 12 - Hierarchical multiple regression - Residual analysis and diagnosticsregression Unit 13 - Repetitive exercises