Training on Advanced Statistical Analysis using SPSS
In the socioeconomic and business context, conducting research, data management and data analysis are imperative for informed decision making. The availability of several datasets and research techniques open the gateway of conducting systematic research which will be helpful for consumers, businesses and organizations.
A sound knowledge about the use of SPSS Software as a data management and analysis tool is very beneficial for the researchers. This course introduces you to a range of advanced statistical modelling techniques within SPSS Software Statistics and covers how and when they should be used.
Target Participants
Anyone who has worked with IBM SPSS Statistics Software for Windows and wants to become better versed in the more advanced statistical capabilities of SPSS Statistics Software.
Anyone who has a solid understanding of statistics and wants to expand their knowledge of appropriate statistical procedures and how to set them up using SPSS Statistics.
Course Duration
Online   7  Days
Classroom-based  5 Days
What you will learn
By The End Of This Course The Participants Will Be Able To:
- A broad range of advanced statistical models
- Issues best addressed by certain statistical techniques
- Data considerations for choice of optimal techniques
- Evidence based modeling and reporting
Course Outline
- Multiple Regression Analysis
- Discriminate analaysis
- Logistic regression (Binary & Multinomial)
- Survival Analysis (Kaplan-Meier)
- Cluster Analysis
- Factor analysis
- Loglinear Analysis
- Exploring relationships between variables
- MANOVA: multivariate analysis of variance
- Repeated Measures ANOVA