Course Overview

SPSS is a widely used program for statistical analysis in social science. It is also used by government, market researchers, health researchers, survey companies, education researchers, marketing organizations, data miners and others.

Course Objectives

By the end of the course the participants will:

  • Be comfortable using SPSS as a data analysis tool
  • Understand how to work with SPSS
  • Understand how to learn to use new features of SPSS on their own
  • Understand how to acquire information (samples)
  • Understand how to enter and reorganize information within SPSS
  • Understand how to effectively summarize research finds using SPSS
  • Through the use of appropriate indexes and tables
  • Be able to choose charts to successfully highlight their research results
  • Be able to understand and interpret charts
  • Understand the basic principles behind inferential statistics
  • Be able to carry out inferential statistical analysis using SPSS
  • Be able to integrate information and build models
  • Be able to edit SPSS output
  • Be able to use SPSS output to produce scientifically sound research reports

Course Content

Day 1: Quantitative Data Analysis

Kinds of Data and Data Entry

  • Interval, Nominal and Ordinal Data
  • Getting Started with SPSS for Windows
  • Introduction
  • Variable Names and Value Labels
  • Data Entry using the Keyboard
  • Editing Data on the Grid
  • Hands on Exercise 1

ComputeVariables/Data Transformation

  • Transforming Variables to Satisfy Assumptions
  • Transforming Variables
  • Transformations for Normality
  • Hands on Exercise 2

Descriptive Analysis

  • Descriptive Analysis for Qualitative/Quantitative Data
  • Tabulation and Numerical Presentation of Data
  • Measuring the Central Tendency
  • Hands on Exercise 3

 Inferential Statistics for Beginners

  • What are Inferential Statistics?
  • Probability- From Population to Representative Sample
  • Normal Distribution
  • Confidence Levels and Intervals
  • Testing of Hypothesis
  • Type I Error & Type II Error
  • Concept of P Value
  • Alpha level

Day 2: Inferential Analysis

Comparing Groups

  • T-tests
  • One sample t-test
  • Paired sample t-test
  • Independent sample t-test
  • ANOVA   
  • Hands on Exercise 4

Measuring Association

  • Chi-Square Test
  • Hands on Exercise 5

Predictive Analysis using SPSS

  • Simple Linear Regression
  • Hands on Exercise 6

Course Methodology

The training is going to be highly interactive combination of lectures, group discussions, questionnaires, individual reflections, role plays, simulations and videos.

Target Audience

The course is designed for the Beginners who have very basic level of understanding of the inferential Statistics and usage of Software SPSS. The course is a step by step approach for data analysis, summarizing and presenting data, data estimation, confidence intervals, hypothesis testing, comparing groups, measuring associations, seeing relationships and predictive analysis.


2 Days (08:30–14:30) with appropriate breaks for tea/refreshments and lunch.

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