Advanced Statistical Analysis using SPSS
Details
About the course
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 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 Statistics and covers how and when they should be used.
What you will learn
- 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
Outline
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
This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.
Training manuals and additional reference materials are provided to the participants.
CertificationUpon successful completion of this course, participants will be issued with a certificate.
Tailor-Made CourseWe can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more [email protected]
PaymentThe training fee covers tuition fees, learning materials, and training venue. Accommodation and airport transfer are arranged for our participants upon request.
Payment should be sent to our bank account before start of training and proof of payment sent to [email protected]