Data Management, Graphics and Statistical Analysis using SPSS

The training objective of this one week Training in Data Management, Graphics and Statistical Analysis using SPSS will impact skills that are of very high demand in performing highly complex data manipulation and analysis with simple instructions. SPSS is the acronym of Statistical Package for the Social Science. SPSS is one of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions At its most simple it is very useful for discovering correlations between different variables. At its most powerful it can be used to make statistically valid forecasts for future events or results.

• Statisticians & Researchers
• Planners & Monitors and Evaluators
• NGOS & Government Ministries
• Project Managers

• The participant will learn to perform basic data analysis tasks with SPSS
• The participant will learn to perform simple to complex data management tasks using SPSS
• The participant will learn to correctly identify appropriate statistical test for basic analysis s and perform them using SPSS
• The participant will learn to perform basic longitudinal, time series and econometric analysis
• The participant will learn to convert data into various formats using appropriate software Understand and appropriately use statistical terms and concepts
• The participant will learn to use statistical terms and concepts
• The participant will learn to design computer aided data capture screens using CSPRO
• The participant will learn how to use mobile phone data collection tool Open Data Kit (ODK) to collect survey data

Introduction to SPSS

• Opening file and file extensions
• Mouse and keyboard processing,
• Frequently –used dialog boxes
• Editing output
• Printing results
• Creating and editing a data file

Quantitative Analysis using SPSS

• Introduction to estimation and hypothesis testing
• One sample tests: t-test, sign and signed rank tests
• Two-sample tests: t-test, Mann-Whitney test
• Three or more samples
• Correlation and simple linear regression

Basic statistical terms and concepts

• Basic data quality checks
• Basic exploratory data analysis procedures
• Basic Descriptive Statistics
• The core functions of inferential statistics
• Common inferential statistics

Concepts and Software for Data Processing

• Data Processing using Census and Surveys Processing Software (CsPro)
• Use of Mobile Phones for Data Collection and Processing

Data Entry, management and Manipulation

• Enter categorical and continuous data
• Define and label variables
• Transform, recode and compute variables
• Help files
• Replacing missing values
• Exploring data Selecting and sorting cases
• Restructuring data
• Merging files
• Syntax and output

Tabulations and Graphics

• Creating and editing graphs and charts
• Graphing Qualitative data
• Graphing Quantitative data
• Frequency Tables
• Cross Tabulations
• Stub and Banner Tables
• Advanced Statistical Analysis • Regression Analysis • Data Reduction Methods • Introduction to Longitudinal Analysis Using SPSS • Introduction to Time Series Analysis • Introduction to Econometric Analysis

For further inquiries, please contact us on

Tel: +254 20 2000 957.

Email: [email protected]