The Statistical Package For Social Sciences (IBM SPSS)
Description
In this course participants will learn the main features of the software including setting up a new data file in IBM SPSS ready for analysis, as well as some techniques of data management, and more advanced statistical procedures that are available in SPSS. The course is designed to provide an intensive training to the latest version of the Statistical Package for the Social Sciences (SPSS), now known as IBM SPSS Statistics. The training combines lecture and hands-on sessions, and involves an analysis of a subset of a large dataset.
Participants should have knowledge of basic statistical concepts and should have experience in computer operations using Microsoft Windows. Experience with SPSS is not necessary, although a basic understanding of the purpose and functions of the software is helpful.
Learning Outcomes
- Understand the main features of the software
- Manage data in SPSS
- Apply SPSS statistical techniques to summarize and describe data
- Apply more advanced SPSS statistical procedures to analyze the data
- Conduct statistical analysis independently based on the type of outcome and study design
- Interpret results and present findings
- Introduction
- Descriptive
- Transform
- Missing
- Chi-square
- t-test
- One - way ANOVA
- Two-way ANOVA
- Repeated Measures ANOVA
- Linear Regression
- Binary logistic regression
- Multinomial Logistic
- Factor Analysis
- ROC
- Non - Parametric 2 groups A part 1
- Non - Parametric 3 groups part 2
- Kaplan Meier
Certificate
