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Basics of SPSS Training for Residents and Fellows

→ 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

50
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
    • 1
      Registration & opening
      opening_files_in SPSS.zip
    • 2
      Overview of Data Analysis Plan
      • 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
    • 3
      Getting acquainted with the IBM SPSS environment

      SPSS interface: Data View, Variable View, Output, Syntax Window
      Menu navigation and useful features

      Introduction to IBM SPSS statistics.pdf
    • 10:30 AM
      Coffee break
    • 4
      Data Management in SPSS (Part I)

      Opening and importing datasets
      Naming, labeling, defining, recoding variables
      Generating variables
      Missing data

      practice_datasets.zip
    • 12:30 PM
      Lunch break
    • 5
      Data management in SPSS (part II)

      Sorting, selecting, splitting, merging, and aggregating data
      Creating and recoding variables (string, numeric, date)

    • 3:00 PM
      Coffee break
    • 6
      Univariate analysis and basic graphics

      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
    • 7
      Days evaluation

      Participant feedback

  • Fri, October 24
    • 8
      Recap and questions

      Summary of Day 1, troubleshooting

    • 9
      Bivariate analysis: two categorical variables

      Cross-tabulation and Chi-square tests
      Fisher’s exact test
      Clustered bar charts

      Bivariate analysis.pdf
    • 10:40 AM
      Coffee break
    • 10
      Bivariate Analysis: comparing means with parametric tests

      Scatter plots
      Paired t-test
      Independent-sample t-test
      One-way ANOVA
      Repeated measures ANOVA

    • 12:40 PM
      Lunch break
    • 11
      Bivariate analysis: comparing means with non-parametric tests

      Mann–Whitney test
      Kruskal–Wallis tests
      Wilcoxon Signed Ranked Test (2 sample)
      Friedman’s ANOVA

    • 3:10 PM
      Coffee break
    • 12
      Introduction to multivariate regression analysis

      Concepts of multivariate analysis
      Model diagnostics
      Introduction to logistic and linear regressions

      Binary logistic regression.pdf
      Introduction to regression models.pdf
    • 13
      Wrap-up and evaluation

      Summary, participant feedback

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