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The Statistical Package For Social Sciences (IBM SPSS)

Overview Course Outline

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

  1. Understand the main features of the software
  2. Manage data in SPSS
  3. Apply SPSS statistical techniques to summarize and describe data
  4. Apply more advanced SPSS statistical procedures to analyze the data
  5. Conduct statistical analysis independently based on the type of outcome and study design
  6. Interpret results and present findings
  1. Introduction
  2. Descriptive
  3. Transform
  4. Missing
  5. Chi-square
  6. t-test
  7. One - way ANOVA
  8. Two-way ANOVA
  9. Repeated Measures ANOVA
  10. Linear Regression
  11. Binary logistic regression
  12. Multinomial Logistic
  13. Factor Analysis
  14. ROC
  15. Non - Parametric 2 groups A part 1
  16. Non - Parametric 3 groups part 2
  17. Kaplan Meier
Duration: 30 Learning Hours
Accredited By:

Certificate

Participant who complete the stand alone course will be awarded a Certificate of Successful Completion.

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The Statistical Package For Social Sciences (IBM SPSS)
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