A comprehensive guided tour of the data management procedures in SPSS, including data entry, data management, coding of data, an introduction to SPSS syntax, as well as creating and designing graphics and tables. Suitable for those who have not used SPSS before.
Learn about the underpinning logical arguments for statistical inference and the terminology used in this hands-on course. SPSS is used throughout the day, so attendees are expected to be familiar with this statistical software as well as descriptive statistics.
This course is a logical continuation of the Introduction to Statistics 1 course. Besides continuing to cover the commonly used statistical tests, it also provides an overview of selecting the most appropriate statistical test.
Supports health professionals and academic partners who are preparing research proposals by considering the application as a marketing document, clarity of description and explanation, feasibility issues, and identifying and avoiding potential pitfalls.
Learn to (1) critically analyse the strengths, limitations and issues to consider with different types of epidemiological studies; (2) assess the sources of evidence routinely used as a basis for health policy and practice; (3) interpret and apply the results of basic statistical analyses, particularly inferential statistics; and (4) use appropriate tools to critically appraise the evidence used in public health.