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.
