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Training on Data Management and Statistical Analysis using SPSS (May 21,2018-May 25,2018)

About the course

Statistical Package for Social Sciences (SPSS) is one of the most user friendly statistical software for researchers providing visualization and data analytical tools. This course provides the participants with a practical application of the statistical component of IBM® SPSS® Statistics. Participants will review several statistical techniques, gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results.

Target Participants

The training is designed for participants who intend to learn the use of SPSS for data management and data analysis. Those working in the corporate world, public sector, research institution and NGOs.

Course duration

5 Days

What you will learn

Understand and appropriately use statistical terms and concepts
Perform data analysis tasks with SPSS
Perform simple to complex data management tasks using SPSS
Statistical tests using SPSS

Course Outline

Introduction to Statistical Analysis

Explain the basic steps of the research process
Explain differences between populations and samples
Explain differences between experimental and non-experimental research designs
Explain differences between independent and dependent variables

Introduction to SPSS statistical software

SPSS interface and features
Key terminologies used in SPSS
Views: Variable, Data views, Syntax editor
Data file preparation
Data entry into SPSS
Data manipulation: merge files, spit files, sorting files, missing values

Basic Statistics using SPSS

Descriptive statistics for numeric variables
Frequency tables
Distribution and relationship of variables
Cross tabulations of categorical variables
Stub and Banner Tables

Graphics using SPSS

Introduction to graphs in SPSS
Graph commands in SPSS
Different types of Graphs in SPSS

Statistical Tests using SPSS

One Sample T Test
Independent Samples T Test
Paired Samples T Test

Statistical Associations in SPSS

Chi-Square test
Pearson's Correlation
Spearman's Rank-Order Correlation
Bivariate Plots and Correlations for Scale Variables

Predictive Models using SPSS

Linear Regression
Multiple Regression
Logistic Regression
Ordinal Regression

Nonparametric Tests

Describe when non-parametric tests should and can be used
Describe the options in the Nonparametric Tests procedure dialog box and tabs
Interpret the results of several types of nonparametric tests

Longitudinal Analysis using SPSS

Features of Longitudinal Data
Exploring Longitudinal data
Longitudinal analysis for continuous outcomes

Time Series and Forecasting using SPSS

The basics of forecasting
Smoothing time series data
Regression with time series data
ARIMA models
Intervention analysis

SPSS Decision Trees

Introduction to SPSS Decision Trees
Application of SPSS Decision Trees
Overview of decision tree based methods (CRT Decision Trees CRT Regression Trees Quest Analysis)

Training Approach

This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

Training manuals and additional reference materials are provided to the participants.


Upon successful completion of this course, participants will be issued with a certificate.

Tailor-Made Course

We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: 714349537


The training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.

Payment should be sent to our bank account before start of training and proof of payment sent to

Event Properties
Event Date May 21,2018, 8:00 am
Event End Date May 25,2018, 4:30 pm
Cut off date May 18,2018, 5:00 pm
Individual Price $800.00
Location Nairobi

Organisation Devimpact Institute

Country: Kenya