Thank God that my wish to attend the SPSS course has been granted and cleared my worries of the research method. Finally, I had a chance to attend the two days workshop from 19th to 20th November 2015 at Plaza Mont Kiara, Kuala Lumpur.
Multivariate Data Analysis (MVA) refers to any statistical technique used to analyze data that arises from more than one variable. The purpose of MVA is to help understand the association between more than one variables. This essentially models reality where each situation, product, or decision involves more than a single variable.
The course content are:
My special thanks to IAB management for the chance and sponsorship to attend the workshop. Also, thanks to Assoc. Prof. Dr. Karuthan Chinna for his well organised and systematic approach of conducting the workshop.
The course content are:
- Multiple Linear Regression
- Discriminant Analysis
- Logistic Regression
- ANOVA & ANCOVA
- MANOVA & MANCOVA
- Repeated Measures
- Factor Analysis
- Cluster Analysis
The workshop gave me a better understanding of methods for data analysis, as well as interpreting the output of analysis. The type of the variables (qualitative or quantitative) determine method to use for data analysis.
After the two days workshop, I am more confident and will re-examine my previous study. Data of the previous study will be analysed to see the differences of the output. The result of the new analysis will help in improving the instrument for future study.
