INTRODUCTION
Nowadays most researches done in the public sector are quantitative in nature. In a demanding country using ICT as one of the most fundamental source of R&D, the need for critical decision making in split-second can make dramatic changes in productivity, financial and strategic policies. Therefore information must be concise, current and complete. Since the last decade, the use of information has evolved dramatically and radically. In the midst of this evolution, the ever-demanding need for information transfer becomes more vital. Therefore appropriate data mining techniques and approaches are essential. Hence this professional workshop is established.
THE AIM
The aim of this academic workshop is to enable participants to plan, design, implement, analyse and document research studies using SPSS. It must be stressed that most conventional SPSS techniques and approaches will be highlighted. Although the course may not constitute everything on statistics, it will enable participants to relate the new skills they acquired to the departments they engage with. Therefore the synergy between theory, application and practice is very much the core essence of this professional workshop.
WHY SPSS
There are many applications in the market today that can statistically analyse data. SPSS is by foremost one of the more popular applications. While many other applications condemn users to many complicated functions like macros and basic programming languages, SPSS uses a very user-friendly interface to allow easy handling and utilisation.
THE PROPOSED PROFESSIONAL WORKSHOP FOR BEGINNERS
The academic workshop is divided into a 2-day training. These 2 days comprise of 2 modules. To fully capitalised from these 2 days, it is recommended to attain Module 1 and 2 training from the Beginner’s level. These modules are:
Module 4: Modelling using Reliability Test, Factor Analysis and Regression (Intermediate) - 1 day
These modules are designed based on three important aspects, ie Theory, Application and Practice. The details of these modules follow:
Module 1: Day 1
8.30 am – 10.30 am
- ANOVA
- Reporting using ANOVA
10.30 am – 11.00 am (Tea Break)
11.00 am – 1.00 pm
- ANOVA (Continuation)
- Reporting using ANOVA
LUNCH
1.00 pm – 2.10 pm
2.10 pm – 4.30 pm
- ANCOVA
- Reporting using ANCOVA
- Brief on reporting and documentation using ANOVA and ANCOVA
- Questions and Answers (Q & A)
4.30 pm – 5.00 pm (Tea Break)
Module 1: Day 2
8.30 am – 10.30 am
- Reliability Tests
- Cronbach’s Alpha
- Factor Analysis
- Exploratory Factor Analysis (EFA)
- Confirmatory Factor Analysis (CFA)
10.30 am – 11.00 am (Tea Break)
11.00 am – 1.00 pm
- Factor Analysis – continuation
LUNCH
1.00 pm – 2.10 pm
2.10 pm – 4.30 pm
- Multiple regression
- Brief on reporting and documentation using ANOVA and ANCOVA
- Questions and Answers (Q & A)
4.30 pm – 5.00 pm (Tea Break)
EXPECTATIONS AND RECOMMENDATIONS
In completion of this academic workshop, participants are expected to be able to launch their own research using SPSS. It is hoped that participants can design and formulate a specific framework based on their research needs and requirements. They can also critically evaluate and analyse data statistically. Participants are encouraged to engage in all modules (Modules 1, 2, 3 and 4) in order to incorporate the gist of this workshop.
SPSS modules have the capacity to encompass other programming tools such as Visual Basic, C++, scripting facility, SAS, FORTRAN and Delphi. However this workshop WILL NOT facilitate participants to learn to programme with these programming tools.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.