SPSS: ANALYZING SURVEY DATA: AN ADVANCED WORKSHOP
- Professional Development course
There have been many advances in the analysis of survey data during the past several years that can help marketing researchers extract important information from survey data. SPSS is the most widely used application for the analysis of survey data and has been developed to be quite easy to use. This course will work through more advanced analyses that are capable of providing significant insights into consumer behaviour and motivation. This is a hands-on workshop where all participants will be performing the analyses at computers using SPSS during the two days. Some basic statistical background will be provided for each technique, the data will be analyzed and the output interpreted. Tips on how to present the resulting insights to clients will be discussed.
MAJOR TOPICS COVERED IN THIS COURSE INCLUDE
Day 1: Morning
- Introduction to Advanced Data Analysis
- Introduction to the Data Set
- Linear Regression: Simple & Multiple
- How to handle multi-collinearity and other practical difficulties.
- Analysis of Variance
Day 1: Afternoon
- Discriminant Analysis 2 Group
- Logistic Regression
Day 2: Morning
- Factor Analysis
- Cluster Analysis
Day 2: Afternoon
- Conjoint Analysis (basics)
||Members seeking CMRP designation
||Little or no exposure
||Less than 2 years experience
||2-8 years experience
||8+ years experience
PAST PARTICIPANT COMMENTS
"I really appreciated Ken's enthusiasm and knowledge."
"(Ken Deal) is very knowledgeable about SPSS and current statistical analysis in industry today."
"I liked how Ken used real data for examples to illustrate how techniques could be used."
||December 12, 2017
- Course Length: 2 Days
- Check-in: 8:30 am, daily
- Classes: 9 am - 5 pm, daily
- Lunch will be provided
- Location: In a computer laboratory
- For terms and conditions, click here
The venue address will be sent to you as part of your course registration confirmation.
*Plus applicable taxes
MRIA courses and their administration are subsidized by members' fees. Therefore, members enjoy a reduced cost for courses.