Course Overview
By the end of this course, you should be able to manage data including entering and importing it from excel or other data sources. You must be able to manipulate variables and clean a data set. The course then drives attendees through how to conduct inferential statistical tests while testing instrument validity.
Day 1
§ Introduction to research reports
§ Study designs and data collection methods
§ From variables to datasets
§ How SPSS works
§ Exploring the Capabilities of SPSS
§ Learn to use SPSS: drop down menus and command syntax
§ Importing data from Microsoft Excel to SPSS
Day 2
§ Introduction to descriptive statistics
§ Making sense of data: more descriptive statistics
§ Subgroup analysis
§ Plotting and manipulating SPSS graphs
Day 3
§ Cross-tabulation and chi-square test
§ Risk factor analysis
§ Correlation Analysis
§ Different types of statistical tests
§ Measures of effect
§ Is the association confounded: understanding confounding
§ Multivariate regression: theory and introduction to practice
§ Class exercise and presentations
The introductory day runs through research proposal writing in order to enable attendees get background knowledge about research methodology.
Day two runs attendees through the interface of SPSS and data management (cleaning and dat manipulation etc.). We also introduce descriptive statistics
Most of the statistical tests are done on day three. Here, we recode variables, conduct principal component analysis, conduct reliability tests, compute composite variables and conduct inferential tests (Correlation and regression).
Test 1 is here Test 2 is here Test 3 is here
Note that the due date for completion of all tests to be eligible for a certificate is 17:00hrs (13th November). All tests must be completed by that date to allow for certificate preparation.