SPSS Data Analysis (Mini Course)

Module 1: Introduction to SPSS statistical software

1.1 Introduction to statistical analysis  

1.2 Introduction and installation of SPSS

1.3 Features and key terminologies in SPSS 

1.4 Data entry, coding, importation and saving

Practical Excercise 1 

Module 2: Basic Statistics in SPSS

2.1 Descriptive statistics for numeric variables

2.2 Frequency, stub and banner tables

2.3 Distribution and relationship of variables as well as cross-tabulations of categorical variables

2.4 Introduction to graphs and their commands in SPSS

Practical Exercise 2 

Module 3: Statistical Tests using SPSS

3.1 One sample, Independent sample, paired sample T-Tests

3.2 One-Way and two-way ANOVA

3.3 Chi-Square test, Pearson’s correlation, Spearman’s rank order correlation.

3.4 Bivariate Plots and Correlations for Scale Variables

Practical Exercise 3 

Module 4: Predictive Models using SPSS

4.1 Linear/Multiple/Logistic/Ordinal Regression

4.2 Nonparametric tests (One Sample/ Independent Samples/ Related Samples)

4.3 Time Series and forecasting using SPSS (Basics, smoothing and regression time series data, ARIMA models, intervention analysis)

4.4 Interpretation of result

Practical Exercise 4 

• Introduction to SPSS
• Learn how to create variables and enter data to the software
• Understand how to import and data into the software
• Develop hands on skills on descriptive statistics and tables, charts and how to perform data manipulation.
• Get to learn more about inferential statistics

• Prior knowledge of statistics or quantitative research background.
• Computer literacy.

• Policymakers
• MEAL professionals
• programmers, Statisticians
• Data Analyst Enthusiasts

$250