Quantitative Data Analysis Using SPSS


SPSS are widely used program for statistical analysis by many organizations. They are both powerful suite for data analysis, reporting and modeling software. SPSS software packages for people who need to analyze large amounts of quantitative data and is used as standard by a wide range of users who need to quickly and accurately carry out statistical analysis of that data such as market researchers, health researchers, survey companies, government, education researchers, marketing organizations and data miners.

Who should attend?

This course is intended for Researchers, Statisticians, Monitoring and Evaluation officials, project officers as well as managers from various international development organizations, foundations, governments, non-governmental organizations and higher institutions of learning who wish to retool their data management and analysis skills.

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)
In person, or online, with live instructor

Course Information

Estimated Time: 5 DAYS


Course Instructor

Owi_ghola Owi_ghola Author
This course does not have any sections.

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