Basics of SPSS Training for Residents and Fellows

Name: Basics of SPSS Training for Residents and Fellows
Start: 2025-10-23T08:30:00+03:00
End: 2025-10-24T17:00:00+03:00
Location: SRHR CoE Building

Oct 23, 2025, 8:30 AM → Oct 24, 2025, 5:00 PM Africa/Nairobi

Hall 1/3rd floor/SRHR CoE Building - Hall 1 (SRHR CoE Building)

Hall 1/3rd floor/SRHR CoE Building - Hall 1

SRHR CoE Building

Description

Learning approach

Methodology: Interactive demonstrations followed by hands-on exercises using example datasets.
Software: IBM SPSS Statistics (version 26 or above)
Materials provided: Practice datasets, slides, and e-book
Expected output: Each participant should be able to prepare and perform univariate and bivariate analysis using IBM SPSS independently for their research.

Thu, October 23
- Thu, Oct 23
- Fri, Oct 24
- 8:30 AM → 9:00 AM
  
  Registration & opening 30m
  
  opening_files_in SPSS.zip
- 9:00 AM → 9:30 AM
  Overview of Data Analysis Plan 30m
  - Understanding terms used in data analysis planning
  - Linking research questions to type of analysis / statistical test
  Speaker: Mekitie Wondafrash (SPIRHR)
  
  Introduction to data analysis plan.pdf
- 9:30 AM → 10:30 AM
  
  Getting acquainted with the IBM SPSS environment 1h
  
  SPSS interface: Data View, Variable View, Output, Syntax Window
  Menu navigation and useful features
  
  Introduction to IBM SPSS statistics.pdf
- 10:30 AM → 10:45 AM
  
  Coffee break 15m
- 10:45 AM → 12:30 PM
  
  Data Management in SPSS (Part I) 1h 45m
  
  Opening and importing datasets
  Naming, labeling, defining, recoding variables
  Generating variables
  Missing data
  
  practice_datasets.zip
- 12:30 PM → 1:30 PM
  
  Lunch break 1h
- 1:30 PM → 3:00 PM
  
  Data management in SPSS (part II) 1h 30m
  
  Sorting, selecting, splitting, merging, and aggregating data
  Creating and recoding variables (string, numeric, date)
- 3:00 PM → 3:15 PM
  
  Coffee break 15m
- 3:15 PM → 4:30 PM
  
  Univariate analysis and basic graphics 1h 15m
  
  Descriptive statistics
  Visualizing data: bar charts, histograms, boxplots, scatter plot, Box plot, etc.
  One-sample t-test and non-parametric alternatives (Wilcoxon Signed Ranked Test (1 sample)
  
  Graphics in SPSS.pdf
  
  Univariate analysis.pdf
- 4:30 PM → 4:45 PM
  
  Days evaluation 15m
  
  Participant feedback
Fri, October 24
- Thu, Oct 23
- Fri, Oct 24
- 9:00 AM → 9:10 AM
  
  Recap and questions 10m
  
  Summary of Day 1, troubleshooting
- 9:10 AM → 10:40 AM
  
  Bivariate analysis: two categorical variables 1h 30m
  
  Cross-tabulation and Chi-square tests
  Fisher’s exact test
  Clustered bar charts
  
  Bivariate analysis.pdf
- 10:40 AM → 10:55 AM
  
  Coffee break 15m
- 10:55 AM → 12:40 PM
  
  Bivariate Analysis: comparing means with parametric tests 1h 45m
  
  Scatter plots
  Paired t-test
  Independent-sample t-test
  One-way ANOVA
  Repeated measures ANOVA
- 12:40 PM → 1:40 PM
  
  Lunch break 1h
- 1:40 PM → 3:10 PM
  
  Bivariate analysis: comparing means with non-parametric tests 1h 30m
  
  Mann–Whitney test
  Kruskal–Wallis tests
  Wilcoxon Signed Ranked Test (2 sample)
  Friedman’s ANOVA
- 3:10 PM → 3:25 PM
  
  Coffee break 15m
- 3:25 PM → 4:40 PM
  
  Introduction to multivariate regression analysis 1h 15m
  
  Concepts of multivariate analysis
  Model diagnostics
  Introduction to logistic and linear regressions
  
  Binary logistic regression.pdf
  
  Introduction to regression models.pdf
- 4:40 PM → 4:55 PM
  
  Wrap-up and evaluation 15m
  
  Summary, participant feedback