Advanced Data Analysis I: Course Outline (Psy-6103)

1. Introduction to Statistics: Population, Sample, Level of Measurements, Statistical Power, Effect Size, Descriptive Statistics

2. Inferential Statistics: Hypothesis Testing

a. Parametric Test

i. T-.Test: One sample t-.test, Independent Sample t-.test, Paired Sample tTest

ii. Analysis of Variance (ANOVA): One way ANOVA, Two way ANOVA, Repeated Measure ANOVA

iii. Mixed ANOVA

iv. Analysis of Covariance (ANCOVA)

v. Multivariate Analyses of Variance (MANOVA)

vi. Multivariate analyses of Covariance (MANCOVA).

vii. Correlation Analysis: Pearson product moment correlation

viii. Regression analysis: Linear Regression, Multiple Regression, Logistic Regression

ix. Exploratory and Confirmatory Factor Analyses

x. Reliability Analysis

xi. Structural Equation Modeling.

xii. Discriminant Analysis

xiii. Cluster Analyses

xiv. Specific Techniques tailored to Scholars’ Projects

b. Nonparametric Tests

i. Mann-Whitney Test

ii. Wilcoxon Test

iii. Spearman

iv. Chi-square Goodness of Fit

v. Multidimensional Chi-Square

vi. McNemar Test for Repeated Measures

vii. Kruskal-Wallis and Friedman

3. Performing Analysis using Statistical Software

a. Statistical Package for Social Scientists (SPSS 20)

b. Analysis of Moment Structure (AMOS)