General Information
Statistical Package for the Social Sciences (SPSS) is a comprehensive and flexible statistical analysis and data management solution produced by IBM and makes statistical data analysis straightforward. SPSS can take data from almost any type of file and use them to generate tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and conduct complex statistical analyses.
Why SPSS Training?
SPSS is a widely used program for statistical analysis in social science. SPSS is a powerful suite of data analytics, reporting, and modeling software. It is the data analytics software package of choice for people who need to analyze large amounts of quantitative data and is used as a standard by a wide range of users who need to carry out statistical analysis of that data quickly and accurately such as market researchers, health researchers, survey companies, government, education researchers, marketing organizations and data miners.
SPSS functionality ranges from simple plots and charts; to much more sophisticated statistical tests. Although very broadly applicable, SPSS is very well-suited to analyzing survey data. It has a very broad range of applications from the relatively simple like calculating frequencies and creating lists and charts through to the far more advanced like variance analysis, multivariate statistical analysis, and cluster analysis. It is also useful in building predictive models.
Goal:
The goal of the course is to increase the knowledge and requisite skills of participants on the use of SPSS and to enable them to make the most of this powerful software package while allowing them to work independently with SPSS on their own data and provide a solid foundation for advanced data analysis work.
Objectives:
To introduce participants to the basic practice of statistics by using SPSS Statistics, a statistical software program used for data management and data analysis, and learn how to perform basic statistical analyses.
To introduce participants to the use of advanced SPSS for analyzing project data for reporting purposes focusing on database management tasks, descriptive statistics and graphics, and basic inferential statistics for comparisons and correlations.
Outline:
The course is organized into modules and each module covers reasonable content to enable participants to connect and progress successively in the next modules.
Module 1: SPSS interface and features
Module 2: Data storage types, measures & data management in SPSS
Module 3: Creating & editing quantitative & categorical graphs/charts
Module 4: Advanced data tabulation
Module 5: Point estimation & hypotheses testing
Module 6: Inferential analysis
Module 7: Time series & Panel analysis
Outcomes:
At the end of the course, participants should be able to:
· To be able to perform a wide range of data management tasks in SPSS application
· Understand the basic workings of SPSS and perform basic statistical analyses.
· To perform database management tasks, descriptive statistics and graphics, and basic inferential statistics for comparisons and correlations.
· To perform data checking and create simple tables and charts.
· To perform advanced analysis in SPSS
What do You require?
Interested organizations/institutions/individuals are expected to have a laptop(s) while attending the workshop, and individuals attending should be from any discipline. Please feel free to bring your own datasets for practice while performing the tasks demonstrated by the trainer. If you have SPSS already installed on your machine the better. However, it is not a must because you will be provided with a temporary version for the training.