POSTGRADUATE SPSS TRAINING SERIES
Master Your Data Analysis Journey
Training Schedule
9:00 AM - 1:00 PM
4th July, 2026
4th July, 2026
SESSION 1: INTRODUCTION TO BASIC SPSS
- Basic feature of SPSS and Data Management - Preparation of dataset and direct entry, Direct entry and importing values, Data coding and labelling, Splitting Files and Merging of Data sets
- Descriptive Statistics - Frequency tables, Graphs, Charts, Custom tables
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Transformation of Data - Recode into same variable, Recode into Different variables, Compute (logs, lag, averages, sum, products etc)
SESSION 1: INTRODUCTION TO BASIC SPSS
- Basic feature of SPSS and Data Management - Preparation of dataset and direct entry, Direct entry and importing values, Data coding and labelling, Splitting Files and Merging of Data sets
- Descriptive Statistics - Frequency tables, Graphs, Charts, Custom tables
- Transformation of Data - Recode into same variable, Recode into Different variables, Compute (logs, lag, averages, sum, products etc)
11th July, 2026
SESSION 2: INTERMEDIATE SPSS:
- Diagnostic Testing - Linearity: Scatter plots and compare means, Heteroscedasticity: Glejser test, Autocorrelation/serial correlation: Durbin Watson
- Pilot Testing - Reliability and Validity test: Cronbach Alpha, KMO and Bartlet test; Factor Analysis: Communalities, Factor loadings,
SESSION 2: INTERMEDIATE SPSS:
- Diagnostic Testing - Linearity: Scatter plots and compare means, Heteroscedasticity: Glejser test, Autocorrelation/serial correlation: Durbin Watson
- Pilot Testing - Reliability and Validity test: Cronbach Alpha, KMO and Bartlet test; Factor Analysis: Communalities, Factor loadings,
18th July, 2026
SESSION 3: ADVANCED SPSS:
- Correlation - Pearson correlation, Spearman correlation, Interpretation of correlation coefficients
- Regression - Binary logistic regression, Multinomial logistic regression, Beta Coefficients, Interpretation of P-Values, Interpretation of t-Statistics, R squared and Adjusted R squared, F statistic
- Hypothesis Testing - T tests (Independent t-test, Paired t-test), Z test, ANOVA, Chi-Square test (Cross-tabulation), Mann Whitney U-test (2k Independent Samples), Kruskal Wallis H-test (K Independent Samples)
SESSION 3: ADVANCED SPSS:
- Correlation - Pearson correlation, Spearman correlation, Interpretation of correlation coefficients
- Regression - Binary logistic regression, Multinomial logistic regression, Beta Coefficients, Interpretation of P-Values, Interpretation of t-Statistics, R squared and Adjusted R squared, F statistic
- Hypothesis Testing - T tests (Independent t-test, Paired t-test), Z test, ANOVA, Chi-Square test (Cross-tabulation), Mann Whitney U-test (2k Independent Samples), Kruskal Wallis H-test (K Independent Samples)
Payment Details
Total Cost: Ksh: 10,000
