SPSS is the data analysis package of choice for people wanting to analyze quantitative data. However, most practitioners find dealing with quantitative data quite daunting. Although most practitioners are quite comfortable with qualitative research methods and analyses, they tend to shy away from using quantitative statistics. However, the ability to perform quantitative data analysis is increasingly becoming an important skill to possess. Actually most people’s fear of statistics is unfounded. The advent of computer software programmes such as SPSS that can be used to analyze data, has meant that people do not have to know or learn mathematical formulae in order to be able to perform quantitative statistical analyses. Nowadays, all one needs to know is the appropriate analyses to perform on their data and how to do it so they can obtain the information they need to know.
This is a hands-on session where tips and tricks are given to students to help them use the SPSS software to analyze quantitative data (including questionnaire) effectively.
Who Could Benefit From the Course? This workshop is for you if you are involved in analyzing data within your organization. If you are involved in quantitative consumer research, you will benefit by learning new quantitative data analysis skills. If you are involved in qualitative research, you will expand your skills portfolio to include quantitative techniques. This workshop will also be valuable for consultants involved in assignments that produce quantitative data (e.g. usability tests, surveys and focus groups).
How Will I Benefit? After attending this course, you will be able to:
Understand how the SPSS program works.
Input data into SPSS and save it.
Select the appropriate data entry method for the type of data you have.
Select the appropriate descriptive analysis technique for the type of data you have and the questions you are trying to answer.
Perform the analyses using SPSS.
Interpret the data output.
Present the results to clients in an accessible fashion.
8.00 a.m. - 08.30 a.m.
8.30 a.m. - 1030 a.m.
Overview of inferential statistics
SPSS - a brief tour
10.30 a.m. - 1045 a.m.
Morning Tea Break
10.45 a.m. - 1.00 p.m.
Exploratory Data Analysis (EDA)
Questionnaire and SPSS
1.00 p.m. - 2.00 p.m.
2.00 p.m. - 3.30 p.m.
Descriptive data analysis
Mean Difference Analysis
3.30 p.m. - 3.45 p.m.
Afternoon Tea Break
3.45 p.m. - 5.30 p.m.
Brief introduction to Factor Analysis / AMOS
Q & A / Discussion
Photo / Bengkel Sehari Asas SPSS 9 Mei 2013
Biodata of Speaker
Dr. Othman bin Talib, B.Sc (UKM), M.Sc (UPM), EdD (Adelaide) completed his secondary and post-secondary education at the King George V Secondary School, Seremban and the Matriculation Centre, University Kebangsaan Malaysia (UKM). He completed his first degree in Chemistry from UKM in 1986. He then appointed as a Chemist (temporary basis). A year later, he was appointed as a Chemistry teacher at the Matriculation Centre, University Putra Malaysia (UPM). He completed his Master in Pedagogy from UPM in 1999 and then in February 2000, was appointed as a lecturer with the Faculty of Educational Studies, UPM. He pursued his study at the University of Adelaide, Australia and obtained the Doctor of Education degree in 2007.
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