Introduction to Statistical Analysis using SPSS Training Course

Length: 2 day(s) | Individual Pricing:$1,200 | Group Pricing: Request Quote | Course Category: SPSS | 172172 intro-statistical-analysis-spss

Course Description:

The focus of this two-day course is an introduction to the statistical component of SPSS. This is an application-oriented course and the approach is practical. You'll take a look at several statistical techniques and discuss situations in which you would use each technique, the assumptions made by each method, how to set up the analysis using SPSS as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing underlying relationships. You will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, and interpret their output, and graphically display the results using SPSS.
*Please note, there is no training manual for this class.

Group Classes - Onsite at Your Office

Have a group of students? We can come onsite to your office and hold a course. Request Free Quote

Public Classes - Classes are $1,200 per student.

Upcoming Class Dates: Click each date below to register or view location/attendance options.

 • September 22, 2016       • December 19, 2016     
 • November 3, 2016     

Class Registrations Must Be Received 14 Days Prior to Class Start


Knowledge Pre-Requisites


Course Lessons:


Anyone who has worked with SPSS for Windows and wants to become better versed in the statistical capabilities of SPSS for Windows. This course targets those with limited or no statistical background. The course is also an appropriate refresher for those whose main statistical experience was gained many years ago.
General computer literacy. Completion of the "Introduction to SPSS" and/or "Data Management and Manipulation with SPSS" courses or experience with SPSS for Windows including familiarity with, opening, defining, and saving data files and manipulating and saving output. Basic statistical knowledge or at least one introductory level course in Statistics is recommended.
¦Introduction to Statistical Analysis
¦Principles of Research Design and Process
¦Data Cleaning and Preparation: Using the Add-on Data Preparation Module
¦Describing Categorical Data
¦Summarizing Continuous Data
¦Measures of Central Tendency and Dispersion
¦Checking the form of distribution
¦Probability and inferential statistics
¦Comparing Categorical Variables
¦Measures of Association
¦Mean Differences between Groups: T Test
¦Bivariate plots and correlations
¦Introduction to Regression
¦Appendix A: Mean differences between Groups: One-Factor ANOVA
¦Appendix B: Introduction to Multiple Regression