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The Data Analysis Process
Surveys vs Experiments
SPSS Window Types: Data, Output, Syntax
SPSS File Types: Data, Output
The “case” concept
Choosing the right Measure
Creating Variables and choosing the right type
Variable and Value Labels
Calculating new variables
Importing data from other programs (i.e. Excel)
Charts: Frequency, Cluster, Stacked, Value Bar Charts
Simple Statistics on Groups: Computing Mean, Standard Deviation
Modifying Output Tables and Charts
Using Chart Templates
Using Table “Looks”
Including output in other applications (i.e. Word)
Getting data from other sources
Dealing with missing values
The “Visual Bander”
Dealing with multiple response questions
Working with dates, times and durations
Introduction to statistical analysis
Choosing the right Analysis
Describing categorical data
Exploratory data analysis: scale data
Probability and inferential statistics
Comparing categorical variables
Mean differences between group: T-Tests
Bivariate plots and correlations: scale variables
A look into many of the Statistical tests
Introduction to regression
Introduction to multiple regression
Introduction to SPSS Syntax
The concept of significance
SPSS is the data management software package produced by IBM and makes statistical data analysis easier to manage. This course provides delegates with the fundamentals of using SPSS.
The SPSS functionality ranges from simple plots and charts, through to much more sophisticated statistical tests.
After successfully completing this course, candidates will be able to perform basic statistical analyses, data checking and create simple tables and charts.
This course allows individuals to work independently with SPSS on their own data and provides a solid foundation for more advanced data analysis work.
It has been recommended that delegates have experience with the Windows operating system and some understanding of statistical analysis before attending this course.
The SPSS course has been specifically designed for those who need knowledge on SPSS.