Last modified: 31 May 2022 13:05
This course in Applied Statistics intends to focus on the application of statistical techniques in postgraduate research for health professionals, with a particular emphasis on the correct interpretation of statistical analyses. The course will NOT concentrate on the statistical theory underlying the subject. An important component of the course is the use of a statistical package, IBM SPSS Statistics 27, which can be used to implement all the methods taught on this course.
Study Type | Postgraduate | Level | 5 |
---|---|---|---|
Term | First Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
|
Information on contact teaching time is available from the course guide.
Assessment Type | Summative | Weighting | 10 | |
---|---|---|---|---|
Assessment Weeks | 19 | Feedback Weeks | 20 | |
Feedback |
Each question has feedback on wrong answers submitted and how to arrive at correct answer. Feedback received once grades released, a few days after the due date. |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Procedural | Apply | Apply the concept of statistical inference to health research |
Procedural | Apply | Apply suitable statistical methods to answer research questions in a variety of contexts and study designs |
Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately |
Assessment Type | Summative | Weighting | 20 | |
---|---|---|---|---|
Assessment Weeks | 16 | Feedback Weeks | 17 | |
Feedback |
Each question has feedback on wrong answers submitted and how to arrive at correct answer. Feedback received once grades released, a few days after the due date. |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Conceptual | Evaluate | Demonstrate the ability to critically appraise the presentation and interpretation of results in the literature |
Procedural | Apply | Apply the concept of statistical inference to health research |
Procedural | Apply | Apply suitable statistical methods to answer research questions in a variety of contexts and study designs |
Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately |
Assessment Type | Summative | Weighting | 60 | |
---|---|---|---|---|
Assessment Weeks | 18 | Feedback Weeks | 20 | |
Feedback |
The assessment is marked with a rubric covering different themes within the assessment, each theme is marked and the combined grade obtained. The student will get one or two sentences of feedback from the marker per theme. |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Procedural | Apply | Apply the concept of statistical inference to health research |
Procedural | Apply | Develop a working knowledge of a statistical software package for data management and analysis |
Procedural | Apply | Apply suitable statistical methods to answer research questions in a variety of contexts and study designs |
Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately |
Assessment Type | Summative | Weighting | 10 | |
---|---|---|---|---|
Assessment Weeks | 12 | Feedback Weeks | 13 | |
Feedback |
Each question has feedback on wrong answers submitted and how to arrive at correct answer. Feedback received once grades released, a few days after the due date. |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Procedural | Apply | Apply the concept of statistical inference to health research |
Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately |
There are no assessments for this course.
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Conceptual | Evaluate | Demonstrate the ability to critically appraise the presentation and interpretation of results in the literature |
Procedural | Apply | Apply the concept of statistical inference to health research |
Reflection | Analyse | Demonstrate the ability to present and interpret results from statistical analyses appropriately |
Procedural | Apply | Develop a working knowledge of a statistical software package for data management and analysis |
Procedural | Apply | Apply suitable statistical methods to answer research questions in a variety of contexts and study designs |
We have detected that you are have compatibility mode enabled or are using an old version of Internet Explorer. You either need to switch off compatibility mode for this site or upgrade your browser.