Advanced Research Statistics (6003HLS)

Approaches to data collection and analysis depend on the research question and study design, in turn often dictated by the logistic limitations imposed on a study. The preparation of a detailed analytical plan during the design phase of a study ensures that a research question can be fully and appropriately addressed in end-stage analyses. The content of this unit builds on the basic research methods and statistical background assumed of enrolled students. There will be a strong emphasis on applying concepts through critical reading and discussion of the literature and the analysis and interpretation of real-world data sets. A unifying theme of the unit is the concept of analytical techniques to account for variations or errors in a study, and introduced error that cannot be accounted for but must be addressed in discussion of research results. Generic analytical strategies in modelling health data are presented, with practical experience focussing on multivariate analysis, validity and reliability analysis. In particular, emphasis will be on specifying appropriate models and their interpretation within a health framework. Models for categorical and continuously-scaled outcomes will be considered. Multiple Logistic Regression and Multiple Analysis of Variance (ANOVA), and Multi-Level Modelling will be introduced for a research with multi-factors and multi-levels. Emphasis in this course will be on heuristic acquisition of analytical skills through practical exercises. Specifically, on conclusion of this course students will be able to: 1. recognise the impact of study design on analytical choices 2. confidently plan studies and analyses addressing issues of data quality 3. plan analytical strategies to address a limited range of research designs 4. recognise the most appropriate model and error specification for a given study design 5. calculate and report sample size requirements for a range of study designs, and 6. confidently interpret and write-up results of statistical analyses in a health framework Pre-requisite: There is no pre-requisite for this course, however students will need a good understanding of undergraduate level statistics and research methods. NOTE: This course includes a one week intensive taught at the Gold Coast campus in the week prior to O week. Students intending to complete this course must be available to attend the intensive - please check the timetable for the dates involved.

Course study information

Credit points (awarded)

10 (10)

Study level

Undergraduate

Student contribution band

Band 2

Usually available

Gold Coast Trimester 1

Course Attributes

Restricted: Course must be listed in Program

Course offerings and timetables

Convenor

Key dates

Course start date
11 February 2019
Last day to add a course
24 February 2019
Last day to drop a course without financial penalty (Census date)
10 March 2019
Last day to drop a course without academic penalty
7 April 2019

Please view the full class and additional timetable information for Griffith Health

Class Availability When Where Notes
You must attend this Lecture
Lecture (10719) Open Monday, Tuesday, Wednesday, Thursday, Friday 09:00 - 11:50
11 February 2019 - 15 February 2019
G30 2.15
Arts & Education
Gold Coast Campus
Friday 09:00 - 11:50
1 March 2019 - 8 March 2019
G30 2.15
Arts & Education
Gold Coast Campus
Class Availability When Where Notes
You must attend this Tutorial
Tutorial (14374) Open Monday, Tuesday, Wednesday, Thursday, Friday 13:00 - 16:50
11 February 2019 - 15 February 2019
G30 2.15
Arts & Education
Gold Coast Campus
Friday 13:00 - 16:50
1 March 2019 - 8 March 2019
G30 2.15
Arts & Education
Gold Coast Campus