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 analysis, 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 analysis. Nowadays, all needs to know is the most appropriate analysis to perform on their data and 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 effectively.
Who could benefit from the course?
This workshop is offer for postgraduate students who are involved in quantitative data analysis. If you are involved in qualitative research, you might expand your idea to include quantitative techniques.
This workshop will also be valuable for researchers, academicians, and consultants involved in quantitative data analysis.
How will I get benefited from this? At the end of the workshop, participant would be able to:
Differentiate between parametric and nonparametric statistics.
Understand how the SPSS program works.
Input data into SPSS and save it.
Perform an analysis by using SPSS.
Interpret the data output.
Report the statistical results correctly.
SESSION I : 8.30 -10.00 AM : BASIC
Review on Hypothesis Testing
SESSION II: 10.30 -12.30 PM : TECHNICAL
One sample t-test
Independent sample t-test
Paired sample t-test
Mann Withney U test
Wilcoxon Rank Sum Test
SESSION III : 2.00-5.00 PM : HANDS ON
Data Preparation via SPSS
Perform Hypothesis testing via SPSS
Biodata of Speaker
Dr. Shamshuritawati Sharif is a part of academic team at School of Quantitative Sciences, UUM-College of Arts and Science, Universiti Utara Malaysia. Her Diploma and Bachelor of Science with Honors in Statistics were obtained from MARA Institute of Technology (UiTM) and her Master degrees in Decision Science were from Universiti Utara Malaysia in 2003. After 10 years, teaching experience, she pursues her PhD in Mathematics at Universiti Teknologi Malaysia, and completed in Mac 2013. Her research interests are focused on multivariate statistical analysis, industrial statistics, and network analysis.
Registration fees cover refreshments and lunch. All fees must be fully paid before commencement of the course. Otherwise, participants will not be allowed to enter the lecture hall. Reservation/booking by intending participants should be made with payment as soon as possible. We accept payment via Local Order (LO). However, the price should be normal price and the LO must be sent prior to the event.
If a place is reserved and the intended participant failed to attend the course on the date of the event, the fee is to be settled in full. Fees paid are non-refundable. The paid fees can only be substitute with same next workshop / other workshop or books. However, substitution of participant(s) will be permitted at the discretion of the organizer. In view of the limited places available, intending participants are advised to send their registration with the payment made as early as possible to avoid disappointment.
The organizer reserves the right to alter or change the programme due to unforeseen circumstances. Every effort will be made to inform the registered participants of any changes. The organizer will not be responsible for the arrangement of participant's transportation and accommodation should there be any changes for the date of the workshop. The participant is responsible to check the MPWS official website from time to time for any changes, or contact the organizer directly.
If you require further details or clarifications, kindly contact the organizer
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