SPSS AND ITS APPLICATIONS
SESSIONS INCLUDE :
SESSION 1
Theory: Basic concepts in statistics, Measurement and Levels of measurements,
Training: Getting familiarised with SPSS.
SESSION 2
Training: Data entry: Methods and guidelines ,
Training: Data manipulation: Editing, Splitting, Selecting, Merging etc.
SESSION 3
Theory: Descriptive statistics (Basic concepts), Training: Descriptive statistics (Procedures in SPSS) , Training: Graphical presentation of Data.
SESSION 4
Theory: Inferential statistics, Level of significance, df, Type I and Type II error, Normal Curve , Fundamentals of z distribution,
Training: Testing distribution characteristics of the data (Normal distribution).
SESSION 5
Theory: Correlation analysis and Chi-square test (Basic concepts, Types and assumptions),
Training: Procedure, Assumptions, Interpretation.
SESSION 6
Theory: Linear Regression (Basic concepts, Types and assumptions),
Training: Procedure, Assumptions, Interpretation.
SESSION 7
Theory: t test (Basic concepts, Types and assumptions),
Training: One sample test (Procedure, Assumptions, Interpretation).
SESSION 8
Training: Independent sample t test (Procedure, Assumptions),
Training: Paired sample t test (Procedure, Assumptions, Interpretation).
SESSION 9
Theory: Basic concepts (Procedure, Types and Assumptions),
Training: One way ANOVA, Factorial ANOVA (Procedure and interpretation).
SESSION 10
Theory: MANOVA (Procedure, Assumptions),
Training: Procedure and Interpretation.
SESSION 11
Theory: RM ANOVA (Procedure, Assumptions),
Training: Procedure and Interpretation.
SESSION 12
Theory: Identifying statistics based on the hypothesis and nature of the variables.