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Research, Data management, Tabulations & Graphics, Statistical Analysis and Inferences using SPSS Training (23rd – 27th, October, 2017)

October 23 @ 8:00 am - October 27 @ 5:00 pm

| $1050


Research, Data Management, Graphics & statistical analysis has always been integral parts of development work and has been playing a critical role towards achieving of Sustainable development Goals (SDGs). As a result, knowledge of research methodologies and application of statistical application software’s to support data analysis in this era is very important. Statistical Packages for Social Sciences (SPSS) has proved to be quite useful for the purpose of data management, graphical representation, and statistical analysis of data. SPSS application is user-friendly, reduces the time and efforts of the researcher employed in the process research. This course aims at equipping participants with knowledge and vast skills which will enable them to use SPSS in Data Management, Graphics & statistical analysis


This is a general training targeting professionals undertaking research and surveys, health researchers, market researchers, survey companies, education researchers, government, marketing and individuals who wish to be conversant with SPSS. You also need no prior SPSS experience.


5 days


The training will enable participants to;

  • Understand how to create and edit a data file
  • Enter categorical and continuous data
  • Define, label, validate and Sort variables
  • Transforming, recording and computing variables
  • Graphing quantitative data
  • Perform descriptive and inferential data analysis Topics to be covered


Module 1: Statistical Concepts and Overview of SPSS

Statistical Concepts

  • Descriptive Statistics
  • Common inferential statistics

Overview of SPSS

  • SPSS window-dialog boxes
  • File Extensions (new, Open, Open Datasets)
  • Save, Save As, Import and exporting datasets
  • Printing
  • Creating and editing a data file

Module 2: Data Entry and Management

  • Entering categorical and continuous data
  • Defining and labeling variables
  • Validation and Sorting variables
  • Transforming, recording and computing variables
  • Restructuring data
  • Replacing missing values
  • Merging files and restructuring
  • Splitting files, Selecting cases  and weighing cases
  • Syntax and output

Module 3: Graphics using SPSS

  • Chart Builder
  • Graphboard Template Chooser
  • Graphing quantitative data

Module 4: Quantitative Data Analysis (Part I)

  • Descriptive Analysis
  • Tables
  • Hypothesis testing
  • Comparing Means.
  • Regression and Correlation Analysis

Module 5: Quantitative Data Analysis (Part II)

  • Loglinear models
  • Dimension reduction
  • Scale
  • Non-parametric tests
  • Reports


This training can also be customized for your institution upon request. You can have it delivered your preferred location.

For further inquiries, please contact us on

Tel: +254 (0) 739167709.

Email: training


Nairobi, Kenya


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